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 JavaScript/React 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 JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React 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 JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React 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. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

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 JavaScript/React 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 JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React 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 JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React 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. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

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 JavaScript/React 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 JavaScript solutions. Solving coding problems and writing functional and efficient JavaScript/React 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 JavaScript, React, and modern web development frameworks and libraries. Required Qualifications 3+ years of experience in a software engineering/software development role. Strong proficiency with JavaScript/React 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. Experience with modern JavaScript frameworks and libraries (Next.js, Vue, Angular). Familiarity with frontend testing frameworks (Jest, React Testing Library, Cypress). Knowledge of state management solutions (Redux, Context API, MobX). Experience with TypeScript and modern frontend tooling. Recognized accomplishments or contributions to the coding community or in projects. Proven analytical skills with an ability to approach problems creatively. Adept communication skills, especially when understanding and discussing project requirements. A commitment to continuous learning and staying updated with the latest coding advancements and best practices. Enthusiasm for teaching AI models and experience with technical writing! If you're passionate about JavaScript, React, and the future of frontend development, this is an excellent opportunity to contribute to cutting-edge AI technology while leveraging your expertise!

Internship Overview Join us as an AI Developer Intern to gain hands-on experience in building and deploying computer-vision and LLM-based solutions. You’ll work alongside senior engineers to develop object detection/tracking models (LLM, YOLOv8/11), assist with face-recognition pipelines, and help maintain our GPU-powered servers. What You’ll Do Assist in data collection, annotation, and preprocessing for video datasets. Train and fine-tune YOLOv8/11 models under mentor guidance. Prototype face-recognition solutions using pre-trained LLM embeddings. Help deploy models on Linux servers; learn SSH, Docker, and GPU setup. Participate in code reviews, stand-ups, and technical brainstorming sessions. What We’re Looking For Currently pursuing a B.Tech/M. Tech in CS, EE, AI, or related field, or graduated Solid foundation in Python, with coursework or projects using PyTorch/TensorFlow. Basic understanding of computer-vision concepts (object detection, tracking, face recognition). Familiarity with the Linux command line and SSH. Eagerness to learn GPU computing and server management. Strong problem-solving skills and the ability to work in a team. What You’ll Gain Real-world experience deploying AI solutions end-to-end. Mentorship from senior AI engineers. Exposure to GPU infrastructure and MLOps practices. Opportunity to contribute to production-grade code. Letter of recommendation and potential for a full-time offer. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Benefits: Flexible schedule Paid sick time Paid time off Provident Fund Schedule: Day shift Fixed shift Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Experience: AI: 1 year (Preferred) Willingness to travel: 100% (Preferred) Work Location: In person

Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career. The Role The BIM Modeler will perform the functions of creating project deliverable drawings and models using the current versions of available software. Work includes 3D parametric modeling, representation and annotation of 3D information in 2D drawings, and 2D detailing for complex projects. The candidate should be able to work in a self-directed manner in all aspects of the building design and document production process. Responsibilities Create 3D BIM models to a high level of accuracy. Develop plans, sections, elevations and details from a 3D BIM model for projects of all sizes and technical complexities. Clearly annotate, dimension and detail production drawings in conformance to Thornton Tomasetti standards and practices. Setup and manage large sheets sets including revisions and markups for each project. Plot drawings to pdf, dwg, or to paper plots. Assist and direct BIM workflow. Set up and geo-locate multiple models for a single project. Create 3D views or renderings on an as-needed basis for marketing or project use. Use advanced tools such as Navisworks for project collaboration across multiple disciplines in a BIM environment. Interface with engineers, our clients, and other consultants through clear communication and drawings. Interact with our clients to coordinate BIM modeling content and approaches, model exchanges, quality control, and delivery. Continued development of “best practices” for BIM. Requirements Degree in related discipline (Civil Engineering, Architecture, Interior Design, etc.) is preferred. Experience and understanding of REVIT Structure, AutoCAD Architecture, and their supporting technologies. Experience and understanding of interfacing with REVIT Architecture and MEP is preferred. Excellent understanding of 3D parametric modeling to maximize the benefits of an integrated building model. Thorough understanding of building components for modeling structural components intelligently and efficiently to ensure the integrity of the structural model. Working knowledge of drawing production, standard construction techniques and principals. Excellent skills in relation to rendering and graphic formats and their manipulation and output. Experience in Rhino, Grasshopper, TEKLA, and data exchanges between BIM platforms is preferred. Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Thornton Tomasetti Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here. Show more Show less

We are urgently hiring freelance phonetic transcribers to work on a high-priority linguistic project involving X-SAMPA phonetic transcription . The role involves verifying, correcting, or rejecting transcriptions based on detailed phonetic and contextual guidelines. Key Responsibilities: Review phonetic transcriptions and correct them using the X-SAMPA phoneset. Reject unsuitable, mismatched, or English loanword tokens based on clear criteria. Use provided context to identify proper pronunciation (e.g., schwa deletion, syllabification). Apply or correct language tags where applicable (e.g., hi, te, ta). Complete assigned work by June 19th, 2025, without delays. Requirements: Immediate availability to start work. Proven experience with phonetic transcription , preferably in X-SAMPA . Strong knowledge of Indian languages and their pronunciation patterns. Excellent attention to detail and the ability to follow complex transcription rules. Ability to commit time and meet the June 19th deadline . Nice to Have: Background in linguistics or phonetics . Familiarity with IPA and mapping it to X-SAMPA . Previous experience in linguistic annotation projects. How to Apply: Email us with: A summary of your relevant experience. (thirunavukkarasu.raman@aceolution.com) Languages you're proficient in. Confirmation that you can start immediately and finish by June 19th . Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

Overview: The Project Manager is a results-driven and innovative project leader within DataForce. The Project Manager is responsible for leading successful execution of the life cycle of a range of AI-Data projects, through the utilization of expertise and technical skills to manage project budgets, timelines, and quality requirements. The Project Manager has accountability for fostering professional client relationships, managing and coordinating external vendors, and leading and collaborating with cross-functional project teams and partners. The Project Manager is ultimately responsible for the quality of work, profitability, and performance of their projects. Responsibilities: Oversee all aspects of the management of projects from hand-off through project completion to ensure project success against defined KPIs. Develop and maintain project plans, workflows, guidelines, and resource materials Provide effective analysis and reporting of project performance Track, monitor, and control project financial, timeline and quality performance Organize and deliver a Post Project Review Provide effective risk management through identification, escalation, mitigation, and effective resolution of issues Execute projects autonomously, while successfully coordinating with cross-functional project teams as required to procure required resources and support Serve as a primary point of contact for clients and both internal and external stakeholders Proactively identify opportunities, provide recommendations, and drive improvements to maximize operational efficiency and implement scalable solutions Establish, strengthen, and expand client relationships, support development of new business opportunities and overall profitable revenue growth Assist in the hiring process of new team members and train them Contribute to the development of the knowledge and capability of the department, team, colleagues in industry, and technology advancements. Required Skills and Competencies: Exceptional leadership, interpersonal, and relationship-building skills Effective written and verbal communication skills Effective use of platforms/systems to plan, organize, and prioritize to ensure the successful completion of projects Established expertise in project management skills and methodologies Outstanding teamwork and collaboration skills Demonstrated exceptional analytical, critical-thinking, problem-solving and decision-making skills Established competency in the use of business applications and collaboration tools, including but not limited to the Microsoft suite of applications (Outlook, Excel, Word, PowerPoint, SharePoint, Teams) and Google Workspace suite of products Solid understanding of data collection, annotation, and transcription activities in an AI setting Required Experience and Qualifications: Master's degree in linguistics, languages or related field 5+ years’ relevant project management experience or experience in other roles with similar responsibilities Experience managing AI ML data-related projects (including speech, text and computer vision data collection, data curation and annotation projects) Experience managing projects with crowdsourcing and remote resourcing solutions Demonstrated success in end-to-end management of transcription projects Experience working with a high-performance, collaborative, and constructive peer group Ability to apply technology in solving business problems Experience managing information technology, data management, or similar technical projects Demonstrated business English language proficiency Preferred Skills and Experience: PMP or equivalent certification Experience working in a multinational/multicultural virtual working environment Proficiency in working with support ticketing systems Experience in working in a cross-functional/matrix organization Fluency in a language other than English language Knowledge of scripting or command line tools is an advantage. Show more Show less

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role If you're a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project. This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them Prompt generation with a purpose to receive the best quality result of LLMs How To Get Started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You are currently enrolled in or completed a Bachelor's degree or higher You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail Your level of English is upper-intermediate (B2) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge Benefits Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise Show more Show less

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : • Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. • Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. • Preprocess and augment image/video datasets to improve model accuracy and robustness. • Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. • Assist in deploying models to production environments, including cloud and edge computing platforms. • Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. • Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : • Bachelor's or master’s degree in computer science, Data Science, AI/ML, or a related field. • Minimum of 3 year of professional experience in Python programming and AI/ML integrations • Solid understanding of machine learning concepts, neural networks, and deep learning architectures. • Hands-on experience in training and optimizing computer vision models. • Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. • Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA Show more Show less

Description The Visual Annotation Services team within Amazon Fashion Tech powers new products that deliver various CXs, using ML/AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle. We're the team that thrives in a start-up like environment where flexibility, teamwork and ability to deliver solutions are a priority. You will have the opportunity to conceptualize, design and build AI driven experiences across the Amazon retail website and the Amazon Shopping mobile app. You will collaborate with various partner teams throughout Amazon and you will be a key member of a team that's building innovative new experiences that will change customers' lives. Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage in a rapidly changing industry, this position is right for you. We offer a creative, fast paced, entrepreneurial work environment where you’ll be driving various innovation at Amazon. We are looking for a Operations Manager to build out and lead a team of annotation experts and SMEs, who are fashion specialists, working closely with counterparts in the United States. The team you build will annotate fashion images to provide data to train algorithms for fashion experiences across Amazon. The successful candidate will have a strong passion for fashion, tech, a relentless desire to drive process improvement, and build a great team culture. Key job responsibilities Building out, leading, and developing a team of program managers and fashion specialists Building strategy for the team, setting clear goals and vision for initiatives Managing individual and team performance expectations and goals Working with third-party agencies and recruiting to recruit team members and onboard new hires Partnering with our training lead to develop and train Fashion Specialists and team managers and understanding and effectively utilize resources provided by internal systems, departments, policies, and procedures Developing our team practices and managing our workforce to create an exciting, supportive, ambitious and innovative culture Understanding different local fashion trends and deep diving into Amazon customers’ fashion preferences, and using this information to develop new styling strategies Delivering results quickly with little supervision in a dynamic and often ambiguous environment. Communicating effectively, including verbal and written skills, and influencing across levels Demonstrating strong business acumen, including problem solving skills, critical thinking, and a willingness to be vocally self-critical Basic Qualifications Bachelor degree on fashion domain or any graduation with 5+ years related experience 3 + years demonstrating success managing a team with a track record of driving high performance Experience in fashion Strong oral (speaking, listening, interpretation) and written communication skills Strong analytical skills; you are someone who wants to dive into the numbers and seek to understand and has depth of experience in Excel Experience in understanding performance metrics and developing them, as required Demonstrated history delivering results in cross-functional environments; ability to drive organizational change using sound reasoning backed up by relevant data in a well-prepared business briefing A sense of urgency and an appreciation for working in a fast-paced, deadline-oriented environment Comfort with ambiguity; ability to be flexible in a rapidly changing environment Preferred Qualifications Exposure to process improvement/quality control tools and methods. Exceptional skills in data manipulation and analysis. Capacity planning. Proficiency in writing and understanding code. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Tamil Nadu - A83 Job ID: A2950919 Show more Show less

Job Description: We are looking for motivated and detail-oriented Annotation Analysts who are fresh graduates eager to start their careers in the AI and data annotation field. As an Annotation Analyst, you will play a crucial role in training machine learning models by accurately labeling and annotating data such as images, text, audio, or video. Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Individuals who are quick learners and open to feedback Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 2.50 LPA Medicare Benefits Both side cab facilities.

Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 250000 - 300000 Medicare Benefits Both side cab facilities.

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep HTML/CSS expertise to review evaluations completed by data annotators assessing AI-generated HTML/CSS code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated HTML/CSS code. Assess if the HTML/CSS code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in HTML/CSS development, QA, or code review. Strong knowledge of HTML/CSS syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your HTML/CSS expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep HTML/CSS expertise to review evaluations completed by data annotators assessing AI-generated HTML/CSS code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated HTML/CSS code. Assess if the HTML/CSS code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in HTML/CSS development, QA, or code review. Strong knowledge of HTML/CSS syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your HTML/CSS expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

Agent Trainer (Remote Flexible Hours) Help Shape the Future of AI. No Prior AI Experience Required. About Us At SoftAge, we work with the worlds leading AI research labs and product teams to train cutting-edge autonomous agents and foundation models. These systems power the next generation of digital assistants, copilots, and task-completing AI Agents across web, desktop, and mobile platforms. Our global network of trainers, technologists, and creators plays a key role in teaching AI to interact intelligently with real-world digital environments. What Youll Do As an Agent Trainer , youll teach AI systems how to navigate and use real softwarespanning productivity tools, web platforms, design software, code editors, and more. This includes: Creating realistic scenarios and natural prompts for task completion Demonstrating tasks step-by-step using Mac/Windows systems Recording interactive data in structured formats Evaluating outputs and identifying model weaknesses Helping simulate and guide human-like computer use Why You Should Apply Earn Up to $10-$60/day depending on hours contributed Flexible, Remote Work work from anywhere, on your schedule No AI Experience Required — comprehensive onboarding provided Work on Real AI — directly contribute to training powerful LLMs, LAMs, and Agents Be Part of the Future — help define how AI interacts with the digital world Who We’re Looking For We welcome professionals, and tech-savvy experts from all backgrounds who: Are proficient Mac or windows users with access to a decent desktop or laptop. Have expertise in any professional software tools from different domains (e.g., Figma, Excel, VS Code, Photoshop, Notion, Jira) Can think logically and creatively to break down digital tasks Pay strong attention to detail and care about quality Enjoy working independently and solving problems Hear From Our Trainers "As a designer, I usually use AI to get answers. But here, I'm challenging it to do better — it’s a total role reversal, and it’s addictive." – Product Designer & AI Trainer "The flexibility and the chance to directly shape how future AIs work makes this role both fun and impactful." – Tech Consultant & Agent Trainer Ready to Join? Apply now via this short form: https://forms.gle/rjUBYARYk2zok3BH9 SoftAge is proud to be a part of AI innovation that includes diverse voices and expertise. Come as you are, bring what you know—and let’s shape the digital future together.

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep HTML/CSS expertise to review evaluations completed by data annotators assessing AI-generated HTML/CSS code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated HTML/CSS code. Assess if the HTML/CSS code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in HTML/CSS development, QA, or code review. Strong knowledge of HTML/CSS syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $18 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your HTML/CSS expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep TypeScript expertise to review evaluations completed by data annotators assessing AI-generated TypeScript code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated TypeScript code. Assess if the TypeScript code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in TypeScript development, QA, or code review. Strong knowledge of TypeScript syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your TypeScript expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep TypeScript expertise to review evaluations completed by data annotators assessing AI-generated TypeScript code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated TypeScript code. Assess if the TypeScript code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in TypeScript development, QA, or code review. Strong knowledge of TypeScript syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your TypeScript expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep JavaScript expertise to review evaluations completed by data annotators assessing AI-generated JavaScript code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated JavaScript code. Assess if the JavaScript code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in JavaScript development, QA, or code review. Strong knowledge of JavaScript syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $22 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $25 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

About Company SME is a platform that bridges subject-matter experts with AI projects, enabling them to contribute their knowledge to improve AI models. It offers flexible opportunities to work on tasks like data labeling, quality assurance, and domain-specific problem-solving while earning competitive pay. About the Role We’re hiring a Code Reviewer with deep Python expertise to review evaluations completed by data annotators assessing AI-generated Python code responses. Your role is to ensure that annotators follow strict quality guidelines related to instruction-following, factual correctness, and code functionality. Responsibilities Review and audit annotator evaluations of AI-generated Python code. Assess if the Python code follows the prompt instructions, is functionally correct, and secure. Validate code snippets using proof-of-work methodology. Identify inaccuracies in annotator ratings or explanations. Provide constructive feedback to maintain high annotation standards. Work within Project Atlas guidelines for evaluation integrity and consistency. Required Qualifications 5–7+ years of experience in Python development, QA, or code review. Strong knowledge of Python syntax, debugging, edge cases, and testing. Comfortable using code execution environments and testing tools. Excellent written communication and documentation skills. Experience working with structured QA or annotation workflows. English proficiency at B2, C1, C2, or Native level. Preferred Qualifications Experience in AI training, LLM evaluation, or model alignment. Familiarity with annotation platforms. Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines. Compensation : $25 Hourly Why Join Us? Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation. Show more Show less

We are looking for an experienced Java Developer to join a high-performing engineering team focused on building enterprise-grade web applications for B2B use cases. The ideal candidate will be proficient in backend and full stack technologies, possess solid understanding of microservices, and be comfortable working in fast-paced Agile environments. Key Responsibilities Develop and maintain enterprise web applications using Java 8, Spring Boot, and Hibernate . Perform full-cycle software development including design, coding, unit testing, and reviews. Participate in solution design and lead technical discussions within the team. Review work of peers across all phases of development (solution, design, code, and tests). Take initiative on implementing new features and leading components/modules. Follow best practices in architecture, performance optimization, and secure coding. Required Technical Experience 36 years of experience in web application development , ideally for B2B enterprise platforms . Strong knowledge of Java 8 , Spring Boot , Hibernate , and Microservice Architecture . Proficient with Git workflows , branching, pull requests, and version control. Hands-on with Maven or Gradle , VS Code , and PostgreSQL (normalized schema, complex joins). Exposure to DevOps basics : Linux CLI, shell scripting, Kubernetes, Docker, Kafka. Familiarity with Agile/Scrum-based development in high-performance teams. Experience in building and deploying large-scale, business-critical applications. Preferred Experience Knowledge of Test-Driven Development (TDD) , Continuous Integration (CI) , and Continuous Deployment practices. Ability to work independently, mentor others, and collaborate across distributed teams. Top 10 Must-Have Skills Java 8 Spring Boot Hibernate (ORM) Microservice Architecture PostgreSQL (Database Design & Querying) Git (branching, merging, pull requests) Maven/Gradle Build Tools DevOps Basics Linux CLI, Docker, Kubernetes, Shell Scripting Kafka (basic knowledge or exposure) Agile/Scrum, TDD, CI/CD Practices

Company Overview Pinnacle Infotech values inclusive growth in an agile, diverse environment. With 30+ years of global experience, 3,400+ experts completed 15,000+ projects across 43+ countries for 5,000+ clients. Join us for rapid advancement, cutting-edge training, and impactful global projects. Embrace E.A.R.T.H. values, celebrate uniqueness, and drive swift career growth with Pinnaclites! Position Name : Data Scientist (Computer Vision Engineer) Years of Experience : 2-4 years Location - Madurai, Tamil Nadu Qualification - B.Tech/B.E/Any Master Degree(CS,IT) or Any MBA No. of open Position - 1 Primary Skills: Expected Years of Exp Work with large-scale image and video datasets to extract actionable insights and automate visual tasks. 2-4 yrs Collaborate with cross-functional teams (ML engineers, product managers, designers) to integrate vision models into production pipelines. 2-4 yrs Design, implement, and optimize computer vision algorithms for tasks such as object detection, image classification, tracking & segmentation. 2-4 yrs Design and run tests, experiments, and data analysis to support product and business decisions. 2-4 yrs Job Responsibilities : Design and train machine learning like Object detection, Image classification, Face recognition, OCR (optical character recognition). Data Management and Preprocessing. Image & Video Data Analysis. Data Annotation & Augmentation. Work with streaming data for real-time inference. Apply techniques to improve model generalization. Innovate algorithms to solve domain-specific problems. Interested candidates, kindly share your resume at sunitas@pinnacleinfotech.com Show more Show less