Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

We are the market leader in design documentation for architectural and interior design industry. We are working on high-end international projects - five/seven star hotels, large scale residential, commercial and retail projects. We are looking for talented professionals with a can-do attitude at the following levels: * Job Opportunity: Jr. architect/Intermediate Architect Qualification: B. Arch Should know about: Documentation, Annotation, Family creation, Tagging, Construction Drawings. Job Types: Full-time, Permanent, Fresher Pay: ₹20,000.00 - ₹60,000.00 per month Application Question(s): Should know- Documentation, Tagging, Family Creation, Annotation, Construction Drawing Experience: Revit: 1 year (Preferred) Shift availability: Overnight Shift (Preferred) Night Shift (Preferred) Work Location: In person

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

The Civil 3D Modeler is expected to perform variety of design/drafting activities including preparing/updating plan/profile drawings for pipeline, road alignment, grading using corridor modelling, pressure/gravity pipe network and ground terrain modelling. Also, Civil 3d Modeler, should establish guidelines and procedures for standards to be used on project following to Client requirement. Should be proficient using AutoCAD Civil 3D in following areas; o Terrain modeling and surface water management projects and studies o Understanding of Storm Water Design and Hydrology o Knowledge of Data Shortcuts o Pressure and Gravity Pipe Network Design o Grading design using Corridor modeling o Production of drawings for construction purpose o Integrating Civil 3D output with another BIM softwares like Revit and Plant 3D o Proficiency also includes a strong understanding of Civil 3D Annotation styles and annotation tools, object and label styles, solid understanding of key objects such as Surfaces, Alignments, Profiles, Profile Views, Surface Analyses and Volume Calculations, and a basic understanding of Feature Lines. Implement innovative approach to reduce drawing production cost and hours. Efficient use/plugins for integrating other applications (HEC-RAS, Storm CAD, Water/Sewer GEMS etc.) to generate drawings based on specific project requirement. Ability to define problems, collect data, establish facts, and draw valid conclusions. Attending client coordination and review meetings, preparing and presenting project status updates and supporting Project Lead/Team Lead in engineering-related tasks. Implement Safety and Quality aspects into design. Travel to abroad/other offices in India for project and assignments etc. Minimum Qualifications ME or BE in Civil/Environmental Engineering (Preferred) Autodesk AutoCAD Civil 3D Certified Professional Minimum 5+ years of relevant experience Excellent written and oral communication skills Independent player with high self-motivation Experience on International Projects will be added advantage Amount of Travel Required 0% Background Check and Drug Testing Information CDM Smith reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit TSU Group GTSG Assignment Category Fulltime-Regular Employment Type Regular

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

We are hiring! MEA WorldWide is looking for a Video Editor for our Video Team- Hollywood/ Entertainment/ Infotainment/ Celebrity Features. Are you a creative and detail-oriented video editor passionate about crafting visually captivating stories? Do you have the technical skills and artistic vision to create videos that resonate with the average American? If you're a self-starter with a growth mindset who thrives on turning gathered footage into scroll-stopping social media content, we want to hear from you! Who are we? MEAWW is a fast-growing digital entertainment news company — our digital footprint already boasts 25+ million users per month, 18+ million followers on social media, and a distribution channel of over 50+ million users and growing. We’re a dynamic social media company dedicated to creating relatable, engaging, and impactful content for the average American. Our mission is to inspire, entertain, and connect through dynamic storytelling and visually stunning videos. Website: ( https://meaww.com/ ) (Western Entertainment Website) Responsibilities: Video Editing: Edit gathered footage into polished, engaging, and platform-optimized videos for social media platforms like Instagram, Facebook, and YouTube. Create long-form and short-form videos about various topics. Creative Storytelling: Collaborate closely with scriptwriters and content creators to ensure the final video aligns with the story’s vision and resonates with our target audience. Visual Effects and Graphics: Incorporate eye-catching transitions, graphics, text overlays, and animations that enhance the story and drive engagement. Platform Optimization: Tailor videos to meet the unique requirements of each platform, ensuring high-quality content with the appropriate aspect ratios, lengths, and resolutions. Data-Driven Improvements: Analyse performance metrics to refine editing styles and strategies, consistently improving video engagement and effectiveness. Stay Trend-Savvy: Keep up with the latest social media trends, editing techniques, and tools to ensure content stays fresh and relevant. Time Management: Meet tight deadlines while maintaining exceptional quality in a fast-paced production environment. Qualifications: ​ Proven experience as a video editor, preferably with a focus on creating social media content for lifestyle, human interest, or family-centric audiences. Proficiency in video editing software such as Adobe Premiere Pro, Final Cut Pro, or equivalent. Good understanding of video editing techniques, including colour grading, audio mixing, annotation, and visual effects Strong understanding of storytelling, pacing, and how to evoke emotions through visual media. Familiarity with social media content trends and platform-specific requirements (e.g., Short-form video style, Instagram Reels, YouTube Shorts). Attention to detail and a strong sense of visual aesthetics. Self-motivated with a growth-oriented mindset, eager to learn and adapt based on analytics and audience feedback. Own a laptop with the required tools and software Why Join Us? Work in a creative and collaborative environment where your ideas and contributions are valued. Be part of a team dedicated to making a meaningful impact on an audience that values relatable and inspiring content. Opportunities for growth and professional development driven by analytics and results. If you’re ready to bring stories to life through your video editing expertise and create content that truly connects with viewers, we’d love to hear from you! Where is this role located? Remote: (India) This role is fully remote, allowing you the flexibility to work from the location you feel most productive and comfortable. Shift Timings: Morning shift (10 am - 6 pm), six days a week. Please note: You will be required to work on weekends. You will have a mid-week off. CTC: 2.4 - 5 LPA, depending on experience and selection process. Show more Show less

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Accepted Locations We accept applicants from the US, Canada, and most countries in LATAM and Europe. We are also accepting candidates from some countries in Africa and Asia. For the complete list of accepted locations, click here. This work is 100% remote. Loom Video We have created an Loom video that we highly recommend you watch! Check it out here: Loom Video Overview Join our expert annotation team to create training data for the world's most advanced AI models. No previous AI experience is necessary. You'll get your foot in the door with one of the most prominent players in the AI/LLM space today. We're primarily seeking Swift developers with 3+ years of experience to train large AI language models, helping cutting-edge generative AI models write better frontend code. Projects typically include discrete, highly variable problems that involve engaging with these models as they learn to code. We currently have 200+ roles open! What Will I Be Doing? Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Building and evaluating React components, hooks, and modern Swiftt solutions. Solving coding problems and writing functional and efficient Swift code. Writing robust test cases to confirm code works efficiently and effectively. Creating instructions to help others and reviewing code before it goes into the model. Engaging in a variety of projects, from evaluating code snippets to developing full mobile applications using chatbots. Pay Rates Compensation rates average at $30/hr and can go up to $50+/hr. Expectations are 15+ hours per week; however, there is no upper limit. You can work as much as you want and will be paid weekly per hour of work done on the platform. Contract Length This is a long-term contract with no end date. We expect to have work for the next 2 years. You can end the contract at any time, but we hope you will commit to 12 months of work. Flexible Schedules Developers can set their own hours. Ideal candidates will be interested in spending 40 hours a week. You will be assigned to projects, so strong performers will adapt to the urgency of projects and stay engaged, but we are incredibly flexible on working hours. You can take a 3-hour lunch with no problem. Instead of tracking your hours, you are paid according to time spent on the platform, calculated in the coding exercises. Interview Process Apply using this Ashby form. If you seem like a good fit, we'll send an async RLHF code review that will take 35 minutes and must be finished within 72 hours of us sending it. You’ll receive credentials to the RLHF platform. We’re doing regular calls to answer any further questions about onboarding, as well as providing a support team at your disposal. You’ll perform a simulated production-level task (RLHF task) on the platform. This will be the final stage, which will ultimately determine your leveling and which project you’ll be assigned. Successful completion of this process provides you with an opportunity to work on projects as they become available. Tech Stack Priorities The current priority for this team is frontend engineers who are well versed in Swift. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with Swift and frontend development. Complete fluency in the English language. Ability to articulate complex technical concepts clearly and engagingly. Excellent attention to detail and ability to maintain consistency in writing. Solid understanding of grammar, punctuation, and style guidelines. Nice to Haves: Bachelor’s or Master’s degree in Computer Science or a related field. Hands-on experience with modern Swift frameworks and libraries (e.g., SwiftUI, Combine, Vapor). Familiarity with frontend or UI testing tools in the Apple ecosystem (e.g., XCTest, XCUITest, Snapshot testing). Understanding of state management patterns in Swift, such as Combine, ObservableObject, or Redux-like architectures. Experience working with Swift Package Manager and other modern iOS/macOS tooling. Contributions to the Swift community or notable open-source projects. Strong analytical skills and a creative approach to solving complex UI or architectural problems. Clear and effective communication, particularly when gathering requirements or explaining technical concepts. A passion for continuous learning and staying current with Swift evolution and best practices. Enthusiasm for teaching AI models and a background in technical writing is a big plus! If you're excited about Swift and the future of app development, this is a great opportunity to shape cutting-edge AI technology while applying your expertise in Apple platforms.

Job Description Onsite work opportunity. Overview Of The Role The Project Lead in the Contract Management Department oversees the quality and efficiency of contract management processes. This role includes managing the projects, ensuring compliance with service level agreements (SLAs), and upholding high-quality control standards. The Project Lead serves as a mentor and expert, guiding team members and providing feedback to improve their performance. Key responsibilities involve maintaining the quality of the project by conducting regular quality checks and making sure the guidelines approved by the client are adhered to, Query resolutions, tracking team metrics, creating reports for all the projects, and finalizing documents before they are sent to clients. The Project Lead works closely with the team to answer questions, provide guidance, and update client guidelines, ensuring all contractual obligations are met. In summary, the Project Team is essential to the success of the Contract Management Department by promoting quality, mentorship, and collaboration, which enhances the organization’s efficiency in contract management. Department Function: Contract Management Department The Contract Management Department manages the lifecycle of contracts with a team of trained lawyers experienced in Contract Lifecycle Management (CLM) tools. The department focuses on key areas like contract abstraction, Annotation, summarization, obligation management, and other contract management processes. Responsibilities Report and maintain project metrics to track performance and quality Perform quality control (QC) and quality assurance (QA) checks on projects Conduct high-level audits on QC’d documents to validate quality Provide feedback to reviewers and QC’ers Act as a mentor and role model for team members involved in the projects Review and finalize deliverables before sending them to clients Serve as a subject matter expert on various projects Draft and resolve client and team queries Support end-to-end QA processes and lead project training Assist Team Leads and Managers with QC strategy and reporting Ensure adherence to company standard operating procedures on projects Use checklist standards and adhere to quality protocols closely Help in updating and modifying guidelines for clients Qualifications 5-7 years’ experience Minimum LLB or BL (Bachelor of Laws) A minimum of 5-7 years’ experience in Contract Management with at least 2 to 4 years of experience in leading projects/managing projects Experience working on CLM tools like Ironclad, Contract Works, Conga, Icertis, Onit etc. LLM (Master of Laws) is an added advantage Relevant certifications in contract management or quality assurance are a plus Additional Optional Qualifications: Certifications on the Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit) Skills Ability to mentor and guide team members. Strong decision-making and problem-solving skills. Proficiency in performing quality checks and audits on documents. Attention to detail to ensure high-quality deliverables. Excellent verbal and written communication skills for effective interaction with team members and clients. Ability to draft clear and concise queries and reports. Strong organizational skills to manage multiple projects and deadlines. Ability to track and report team metrics effectively. Experience with Contract Lifecycle Management (CLM) tools (e.g., Ironclad, Contract Works, Conga, Icertis, Onit). Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Visio, Outlook). Strong ability to build relationships and work collaboratively with team members and stakeholders. Why You will Love Working for KLD At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus opportunity, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. India compensation is based upon the local competitive market. Paid time off, that offers various time off options to help employees maintain a work-life balance, such as Casual, Earned, Sick, Special Leave, and Holidays! Ongoing learning and development, a focus on continuous professional development through various training and education reimbursement programs. A diverse and inclusive workplace where we all learn, grow, and achieve the greatest heights…together. A surrounding team of mission-driven individuals who genuinely love what they do. Free, fun, interactive and incentivized global wellness program that promotes the wellbeing of our employees. Our Cultural Values Entrepreneurs At Heart, We Are a Customer First Team Sharing One Goal And One Vision. We Seek Team Members Who Are Humble - No one is above another; we all work together to meet our clients’ needs and we acknowledge our own weaknesses Hungry - We all are driven internally to be successful and to continually expand our contribution and impact Smart - We use emotional intelligence when working with one another and with clients Our culture shapes our actions, our products, and the relationships we forge with our customers. Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, government agencies and consumers solve complex data challenges. The company, with offices in 26 locations across 17 countries, is a global leader in delivering best-in-class eDiscovery, information governance and data recovery solutions to support the litigation, regulatory compliance, internal investigation and data recovery and management needs of our clients. Serving clients for over 30 years, KLDiscovery offers data collection and forensic investigation, early case assessment, electronic discovery and data processing, application software and data hosting for web-based document reviews, and managed document review services. In addition, through its global Ontrack Data Recovery business, KLDiscovery delivers world-class data recovery, email extraction and restoration, data destruction and tape management. KLDiscovery has been recognized as one of the fastest growing companies in North America by both Inc. Magazine (Inc. 5000) and Deloitte (Deloitte’s Technology Fast 500). Additionally, KLDiscovery is an Orange-level Relativity Best in Service Partner, a Relativity Premium Hosting Partner and maintains ISO/IEC 27001 Certified data centers. KLDiscovery is an Equal Opportunity Employer. Visit www.kldiscovery.com to learn more. Show more Show less

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way . Job Description Job Responsibilities Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products. Connect with internal and external stakeholders to understand use cases and advise on solutions. Translate complex technical concepts to non-technical stakeholders. Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring. Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis. Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation. Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team. Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders. Develop systems and procedures to ensure quality of delivery. Understand the scope of deliveries and create collaborative delivery plans. Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand. Assist in people management, including staff recruitment, performance assessment and training. Preferred Qualification Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication. Overall, 3-5 years of experience in ML project management, AI quality monitoring or similar role. Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts. Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation. Awareness of ML lifecycle and workflows, from initial client consultation to final deployment. Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client. Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior. Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team. Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews. Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery. Developing a deep understanding of the projects to gain insights into the scope of service delivery. Taking accountability for service delivery performance, meeting customer expectations, and driving future demand. Analyzing third-party as well as internal processes and creating strategies for service delivery optimization. Why You'll Love Sprinklr: We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world. For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides. We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever. We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them. We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more. EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful. Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law. Show more Show less

#ONSITE We are looking for a highly experienced NLP Analyst with deep expertise in linguistic data analysis, annotation design, and production-scale NLP model evaluation. This role requires a blend of linguistic acumen, analytical rigor, and real-world application experience. You will drive the design and execution of NLP initiatives across diverse domains and guide cross-functional teams on best practices in language data handling and annotation quality. Key Responsibilities Manage large-scale text annotation and labeling pipelines for supervised and semi-supervised learning. Conduct advanced linguistic analysis of unstructured content (e.g., clinical notes, legal contracts, customer communications, claim documents) to identify patterns, gaps, and modeling opportunities. Define and enforce annotation schemas and QA protocols for complex NLP tasks (e.g., NER, relation extraction, coreference resolution, sentiment/intent classification). Evaluate and improve the performance of NLP models through rigorous error analysis and metric-driven feedback loops. Collaborate with ML/NLP engineers, data scientists, and domain experts to build robust NLP pipelines that scale across use cases. Lead internal research efforts on emerging NLP methodologies, including LLM prompt engineering, hybrid rule-learning approaches, and few-shot learning. Provide mentorship to junior analysts and contribute to developing internal NLP knowledge repositories and annotation standards. Required Qualifications Master’s in computational Linguistics, NLP, Data Science, Computer Science, or a related field. 5+ years of professional experience in NLP, with a strong track record of hands-on work in data annotation, language model evaluation, and NLP pipeline development. Expertise in Python and key NLP libraries (spaCy, NLTK, Scikit-learn, Hugging Face Transformers, etc.). Advanced proficiency in building and managing annotation workflows using tools like Prodigy, doccano, Brat, or in-house platforms. Deep understanding of linguistic structures (syntax, semantics, pragmatics) and their application to real-world NLP challenges. Experience evaluating ML/NLP models using metrics like F1, ROUGE, BLEU, precision/recall, and embedding-based similarity. Solid grasp of vectorization methods (TF-IDF, embeddings, transformer-based encodings) and modern language models (e.g., BERT, GPT, LLaMA). Preferred Qualifications Experience with domain-specific NLP (e.g., clinical/biomedical, legal, fintech). Knowledge of knowledge graph construction, relation extraction, and entity linking. Experience integrating structured/unstructured data for downstream AI/ML applications. Familiarity with prompt engineering for LLMs and tuning foundation models. Strong data querying and visualization skills (SQL, pandas, seaborn, Power BI/Tableau). Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

About Us: We are a new-age AI solutions firm with an ultra-high-quality talent pool out of India for RLHF. Our experts in the specific domain of their expertise help curate hyper-specific LLM datasets. We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency. Who you are & how you can contribute? We seek a highly knowledgeable and detail-oriented Market Research Executive (Freelancer) to join our data annotation team who can use their data collection, communication, and statistical skills to train the LLM models. If you are excited to contribute to AI innovation, this position is perfect for you. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

About Us: We are a new-age AI solutions firm with an ultra-high-quality talent pool out of India for RLHF. Our experts in the specific domain of their expertise help curate hyper-specific LLM datasets. We have operations across the US and India and are working with the top AI firms globally to take their large language models (LLMs) to the next level of quality and consistency. Who you are & how you can contribute? We seek a highly knowledgeable and detail-oriented Market Research Manager (Freelancer) to join our data annotation team who can use their data collection, communication, and statistical skills to train the LLM models. If you are excited to contribute to AI innovation, this position is perfect for you. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

About The Role As part of the Go External strategy, we are building a new revenue stream for Uber. We are in the growth phase and looking to expand our reach globally. The individual in this role will have a chance to be part of a 0 to 1 project and scale it. We are seeking a seasoned Program Manager with expertise in Generative AI and data labeling to oversee the end-to-end lifecycle of data annotation programs. This role will focus on creating scalable labeling pipelines, managing annotation teams, and ensuring high-quality datasets that fuel latest AI models. The ideal candidate will combine a deep understanding of AI/ML workflows with exceptional organisational and leadership skills. ---- What You Will Do ---- Represent Uber Scaled Solutions in external meetings as a domain expert Run Successful pilots and conversion to scale Develop and implement repeatable playbooks for quality and efficiency Basic Qualifications Program management and operations strategy Project Delivery - responsible for on-time delivery with the highest levels of quality. Vendor management - coordinate with multiple vendors and ICs to find the best talent to work on the task Communication - Internal and external Data, reporting, and project tracking Customer conversation from pilots to scale Cross-team collaboration - influence the tech roadmap Preferred Qualifications External-facing engagements. Customers can be from a start-up or a big-tech. Will be in-charge of gathering the requirements from the customer, set up the necessary head count with the help of sourcing team, complete the delivery with the best quality. Track P&L to maintain healthy margins. Show more Show less

We seek an experienced Content Creator who will teach and train the LLM model by doing data annotation tasks with the help of their core skills. If you are excited to contribute to AI innovation, this position is perfect for you. Roles & Responsibilities: 1. Support the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Required Skills: 1. Strong attention to detail 2. Ability to carefully follow instructions 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1200/hour). Flexible hours. Remote opportunity Pay will vary by projec t and typically is upto ~Rs. 1200 per hour (if you work an average of 3 hours every day - that could be as high as Rs 100K per month) once you clear our rigorous screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more . Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. We seek an experienced who will teach and train the LLM model by doing data annotation tasks with the help of their core skills. If you are excited to contribute to AI innovation, this position is perfect for you. Who you are & how you can contribute? We are looking for highly skilled and detail-oriented Proofreader with exceptional abilities in comprehension, grammar and consistency . If this describes you, we are excited to offer you an incredible opportunity to work remotely as a freelancer. Join us in contributing to the creation of data that powers the training of advanced AI models. Role & Responsibilities: 1. Help in the training of an AI assistant model to enhance its accuracy and performance. 2. Evaluate the model's responses across multiple dimensions to ensure quality and relevance. 3. Maintain high standards of speed and precision while assessing the model's responses. Must Required Traits: 1. Strong attention to detail. 2. Ability to carefully follow instructions. 3. Excellent proficiency in English. Why Join Us? Competitive pay (up to ₹1000/hour). Flexible hours Remote opportunity NOTE: Pay will vary by project and typically is up to Rs. 1000 per hour (if you work an average of 3 hours every day - that could be as high as Rs 90K per month) once you clear our screening process. Join us to play a vital role in shaping the future of AI through high-quality training and data solutions! Show more Show less