1448 Annotation Jobs - Page 21

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About The Role Uber AI Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. ---- What the Candidate Will Do ---- Identify and choose the right problems that will benefit from ML expertise. Design and develop a suite of ML models that will help solve the above problems. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. Explore novel ideas and innovative solutions that can lead to a step change in our products Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. Write clean, modular, and maintainable code. Conduct code reviews and ensure high code quality standards. Keep up to date with the latest ML technologies and best practices. Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. Excellent problem-solving and analytical abilities. Proven ability to collaborate effectively as a team player. Preferred Qualifications 5+ years of industry experience in ML/AI. Proven track record of training large models on distributed infrastructure. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. Experience collaborating effectively across an organization, not limited to just within teams.

About The Role Uber's mission is to be the platform of choice for flexible earning opportunities. GSS Tech at Uber is building marketplace and platform technologies that creates these truly global opportunities for knowledge work, e.g., data annotation, localization, testing, document processing, digitization of backend office work, maps data editing. Our marketplace connects underserved workers with external clients seeking top quality, cost-effective, and agile solutions for their knowledge work demand. An essential part of our marketplace is to build tools and platforms that empower knowledge workers to perform data annotation effectively. As the Product Manager for our Data Annotation Platform, you will lead the charge in building a competitive, worker centric product that transforms the labeling experience and enables high-quality, human-labeled data for the next generation of AI applications. You'll own the product roadmap, collaborate closely with engineering, data science, program managers and UX teams, and stay tuned to market needs and advancements in ML/AI technologies. Your work will ensure our platform remains the gold standard in the industry, with features that drive productivity, data quality, and AI readiness. If you're excited about building products that impact millions of people around the world, are passionate about driving efficiency, and thrive in an entrepreneurial environment, we'd love to hear from you! Together, we'll push the boundaries of what's possible in AI through the power of human input. What You Will Do ---- Conduct market research to understand trends, customer needs, and competitive landscape. Define product differentiation and competitive positioning strategies. Own the product roadmap, definition, and execution for building advanced applications that powers experience of knowledge workers and clients Own your numbers, drive your cross-functional team of engineers, data scientists, product ops, and designers to set qualitative objectives and quantitative goals -- and overachieve them. Collaborate with Uber internal and external stakeholders, including clients, product managers, engineering, data science, and global operations teams to ensure that our products support this new line of Uber's business objectives globally, at scale. What You Will Need ---- At least 4 years of experience in product management, with a history of delivering innovative and impactful products where your contributions are clearly evident. Demonstrated ability to collaborate effectively with both technical and non-technical teams, including executives. This role will require working closely with several key stakeholder groups across the organization. Deep focus on customer needs, with a talent for tackling complex product challenges and developing streamlined solutions that prevent unnecessary burden on users and partners. A proactive, entrepreneurial mindset and a strong desire to learn, supported by either an academic background or practical experience in fields like computer science, data science, product ops, economics, or engineering. Preferred Qualifications Customer obsession: Be passionate about understanding your customers' pain points, and building experiences to delight them. You can proudly showcase several examples of this. Experience building products from 0-1 Fulfillment and/or Marketplace experience with strong understanding of marketplace dynamics Strong analytical and experimentation background Persuasive communication and partnership skills- this will be an extremely cross-functional role, with stakeholder teams spanning multiple verticals globally

About The Role The Global Scaled Solutions team is building a marketplace for workers providing services such as data annotation for AI/ML, localisation,and data editing to enterprise customers across industries. We're seeking a Content Designer to help shape the creation of this marketplace with innovative, functional, and delightful experiences. Working with the Global Scale Solutions design team, you'll craft content strategies and UX copy that guide users through the platform with clarity and ease. You'll collaborate closely with cross-functional partners, advocate for user needs, and contribute to the growth of content design at Uber. In this role, you'll focus on projects that require a balance of strategy, systems thinking, and creativity. You'll help establish the effective messaging and information architecture for features in the marketplace, drive alignment across teams, and ensure that every word reflects Uber's commitment to accessibility, inclusivity, and simplicity. What You Will Do ---- Design impactful content for app interfaces, guiding users through their journey with clear, concise, and engaging language Develop scalable frameworks that align with global user needs and business goals. Collaborate across disciplines, partnering with product managers, engineers, researchers, product designers, and product marketing managers to deliver cohesive end-to-end experiences Incorporate insights and data from research, user feedback, and analytics to validate and improve your work Advocate for accessibility principles, ensuring content is inclusive, localized, and aligned with Uber's global standards Contribute to team growth by developing content guidelines, sharing best practices, and helping scale content design at Uber Manage your time and priorities effectively, balancing multiple projects in a fast-paced environment Develop content guidelines and other tools to grow the practice of content design at Uber What You Will Need ---- 3+ years of relevant experience in content design and UX writing A portfolio demonstrating your ability to craft clear, impactful content for digital products Experience collaborating across cross-functional teams to deliver user-centered solutions Preferred Qualifications A degree in English, Communication, Psychology, Design, Marketing, Journalism, or a related field emphasizing storytelling and critical thinking Experience designing for consumer-facing products with an understanding of content design best practices Familiarity with localization, accessibility, and global content standards Proven ability to manage multiple projects simultaneously while maintaining quality and meeting deadlines Strong communication and presentation skills, with the ability to advocate for content decisions Can demonstrate thinking at a high level about product strategy and vision

About the Role! At Uber, we reimagine the way the world moves for the better. There are many operations and technologies that enable this mission and Uber's GSS (Global Scaled Solutions) org leads several of those capabilities such as synthetic data collection data annotation for AI/ML innovation, localization/internationalization, testing, map editing, AI driven customer support, digitization programs and more. We have built industry leading tech and ops muscle for the same and are now externalizing these offerings. As a Senior PgM on the GSS S&P team, you will be responsible for driving financial reporting and compliance management for existing and a new business area for Uber. You will be responsible for setting up processes with cross functional teams across finance, tax, legal, operations for this new line of business. We need a leader that can help set the foundation for scaling the business, enabling business decisions, and focusing on guiding towards profitability. What You Will Do Manage the annual budgets, monthly forecasts, and financial planning and reporting process for US and all markets where scaled solutions is operating Monitor key financial metrics and performance indicators to guide strategic decision-making that will help scale the business Manage cash flow, investments, ROI, and financial risk assessments Develop and implement robust internal control systems to safeguard assets and compliance with customer contract terms What You Will Need Minimum 6+ years of proven experience in program and business & financial management Bachelor's degree in Finance, Accounting, or equivalent Excellent analytical skills, logical and structured thinking, creative in problem solving Excellent Communication and people skills Preferred Qualifications Highly organized. Excellent organizational skills to juggle many tasks without losing sight of the highest priority items. Abiltiy to drive cross group initiatives with diverse teams across the company Ability to work with remote teams and across time zones to develop strategies and foster a cohesive and creative work environment Advanced knowledge/experience with Excel /Gsheets

🔍 About the Role We’re looking for detail-oriented Image proofreaders to play a critical role in the development and training of our Vision AI models. In this position, you’ll be responsible for reviewing, validating, and flagging issues in large volumes of image data used to train machine learning models in areas such as healthcare, safety monitoring, and autonomous systems. Your work will directly impact the performance, accuracy, and reliability of real-world AI systems. If you have an eye for visual inconsistencies and enjoy working with data that feeds intelligent systems, we’d love to hear from you. 🎯 Key Responsibilities Review image datasets to ensure visual quality, relevance, and annotation accuracy for Vision AI training Flag corrupted, low-quality, or irrelevant images that could impact model performance Identify edge cases, visual artifacts, labeling inconsistencies, or environmental variations in images Work closely with data annotation teams to verify labeling integrity and provide feedback for corrections Apply pre-defined visual QA guidelines and help refine those standards as the datasets evolve Collaborate with machine learning engineers and data managers to understand model requirements and edge-case scenarios Assist in curating high-quality training datasets for supervised learning ✅ Required Skills & Experience Strong attention to visual detail - ability to notice subtle inconsistencies across large volumes of image data Basic understanding of computer vision concepts and how image quality impacts model training Experience in image review, visual QA, data labeling, or annotation validation Familiarity with image review tools, labeling platforms, or dataset management systems (e.g., CVAT, Supervisely, Labelbox, or custom pipelines) Ability to follow structured review processes and meet quality benchmarks Clear communication skills to document issues and provide structured feedback Willingness to work as per US time zone (Pacific Time). 💡 Preferred Qualifications Prior experience supporting a Vision AI or ML training pipeline Understanding of object detection, classification, segmentation, or video frame QA Familiarity with edge-case review processes and model failure mode identification Background in data ops, annotation, labeling QA, or data curation 🚀 Why Join Us? Be a key contributor to the success of AI systems deployed in impactful domains like healthcare, safety, and supply chain automation Work on real-world datasets that power production-grade Vision AI models Flexible, friendly work environment Opportunity to grow in the fields of AI operations, data QA, and computer vision 📩 Apply Now If you're passionate about quality, precision, and working at the intersection of human insight and machine learning, apply today with your resume and any relevant experience with image datasets or annotation workflows. Have any further questions or need help? Feel free to drop me a message on here.

Job Description : *Simple Image/Video Editing Process *Rotational Night Shift ( 7pm - 7am, Any 9 hrs) & One day Rotational Week Off Eligibility: *Fresh graduates qualified in Computer Science / IT. ( Batch of 2024 and 2025 only will be considered.) * Candidates with no backlogs in previous semesters and waiting for last semester results will only be considered. * Candidates pursuing or planning to pursue PG in regular or correspondence / or any other courses cannot be considered. *Excellent Computer operating and Mouse handling Skills. * Chennai based candidates only. * Immediate Joiners only. Infosearch BPO Services, No.237, Peters road, Gopalapuram, Chennai-86. Landmark : Satyam Cinemas.

Key Responsibilities Design, develop, and deploy deep learning models for image classification, object detection, segmentation, pose estimation, OCR, and related tasks. Work with large-scale datasets (images, videos, annotations), including data cleaning, augmentation, and preprocessing pipelines. Evaluate and fine-tune models using metrics like IoU, mAP, F1 score, and accuracy. Conduct research and experimentation with state-of-the-art architectures such as CNNs, Transformers (ViT, DETR), GANs, and self-supervised learning. Collaborate with cross-functional teams to integrate models into production pipelines (cloud/on-prem). Stay current with the latest advancements in computer vision and contribute to the company’s innovation roadmap. Develop tools for model explainability and performance monitoring in production environments. Required Qualifications B.Tech, Master’s or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field. 3+ years of experience in developing and deploying deep learning models for computer vision tasks. Strong proficiency in Python and deep learning frameworks like PyTorch and TensorFlow. Hands-on experience with libraries such as OpenCV, Albumentations, MMDetection, Detectron2, or YOLOv5/8. Experience training and optimizing models on GPU clusters using distributed training (e.g., PyTorch Lightning, DDP). Familiarity with model deployment (ONNX, TensorRT, TorchScript) and serving (FastAPI, Flask, Triton Inference Server). Experience with annotation tools (e.g., CVAT, Labelbox) and data versioning tools (e.g., DVC, Weights & Biases). Strong understanding of computer vision metrics and evaluation protocols. Strong skillset in mathematical algorithmics and explainability of deep learning models and frameworks. Preferred Skills Knowledge of 3D vision, SLAM, multi-view geometry and YOLO. Experience working with video datasets and spatio-temporal models. Background in self-supervised or semi-supervised learning. Familiarity with MLOps pipelines and tools like MLflow, Kubeflow, or SageMaker Experience in a domain-specific application like medical imaging, aerial imagery, or autonomous vehicles. Why Join Us Work on impactful AI products at the cutting edge of computer vision. Collaborate with a world-class team of researchers and engineers. Access to state-of-the-art GPU infrastructure and training platforms. Flexible work environment with competitive compensation and benefits.

Company Description CapeStart is a global technology and services company specializing in AI, empowering organizations to compete and thrive in the digital economy. With a focus on healthcare, life sciences, telecom, finance, and more, CapeStart delivers end-to-end solutions in AI/ML, data annotation, software development, research, and medical imaging. Headquartered in the United States with delivery centers in India, CapeStart serves over 100 clients worldwide. Role Description This is a full-time on-site role in Nagercoil for a Digital Marketing Specialist at CapeStart India. The Digital Marketing Specialist will be responsible for Social Media Marketing, Web Analytics, Online Marketing, and Communication tasks on a day-to-day basis. Qualifications Social Media Marketing and Digital Marketing skills Web Analytics and Online Marketing skills Strong Communication skills Experience in digital marketing strategies and campaigns Knowledge of SEO and SEM techniques Experience with web analytics tools like Google Analytics Ability to work collaboratively in a team environment Bachelor's degree in Marketing, Communications, or related field

Key Responsibilities Build and maintain backend services in Python, writing clean, maintainable, and well-tested code. Develop and scale public APIs, ensuring high performance and reliability. Work with GraphQL services, contributing to schema design and implementation of queries, mutations, and resolvers. Collaborate cross-functionally with frontend, product, and DevOps teams to ship features end-to-end. Containerize services using Docker and support deployments within Kubernetes environments. Use GitHub Actions to manage CI/CD workflows, including test automation and deployment pipelines. Participate in code reviews, standups, and planning sessions as part of an agile development process. Take ownership of features and deliverables with guidance from senior engineers. Required Skills Python expertiseStrong grasp of idiomatic Python, async patterns, type annotations, unit testing, and modern libraries. API developmentExperience building and scaling RESTful and/or GraphQL APIs in production. GraphQL proficiencyFamiliarity with frameworks like Strawberry, Graphene, or similar. ContainerizationHands-on experience with Docker and container-based development workflows. GitHub Actions CI/CDWorking knowledge of GitHub Actions for automating tests and deployments. Team collaborationEffective communicator with a proactive, self-directed work style. Preferred Qualifications KubernetesExperience deploying or troubleshooting applications in Kubernetes environments. AWSFamiliarity with AWS services such as ECS, EKS, S3, RDS, or Lambda. HealthcareBackground in the healthcare industry or building patient-facing applications. Monitoring and securityFamiliarity with observability tools (e.g., Datadog, Prometheus) and secure coding practices

Senior Associate (Medical Coding) Location: Noida sector 62 (Onsite) Shift Timing: Night Shift 9:30 PM- 6:30 AM JOB: The role involves mapping clinical, laboratory, pharmacological, and other medical health terms to their corresponding concepts in standard medical terminologies, ensuring accurate representation of the source terms. Additionally, the position includes performing text labeling, data annotation, or image annotation tasks as assigned by the team. Qualification: Bachelor of Science in Nursing, Medicine, Medical Technology, and other allied health sciences. About company Innodata is a global digital services and solutions company. Our technology and services power leading information products and online retail destinations around the world. Our solutions help prestigious enterprises harness the power of digital data to re-imagine how they operate and drive performance. We serve publishers, media & information companies, digital retailers, banks, insurance companies, government agencies and many other industries. We take a €technology-first€ approach, applying the most advanced technologies in innovative ways. Founded in 1988, we comprise a team of 5,000 diverse people in 8 countries who are fiercely dedicated to delivering services and solutions that help the world make better decisions.

Greeting from PVT LTD!!! We are looking immediate for SAP CPI_FULL TIME_Pan India. Skills SAP UI5 FIORI Exp 6+ Years Location PAN INDIA Notice Period Immediate Employment Type Permanent - 1. Experience in customization/extending standard Fiori Applications using either WebIDE or SAP Business Application Studio. (Must Have) 2. Experience in customization of standard oData Services. (Must Have) 3. Experience in the development of custom OData Services. (Must Have) 4. Experience in the creation of custom Fiori applications. (Must Have) 5. Experience in CDS-based Fiori elements. (Must Have) 6. Experience in CDS views with Annotations. (Must Have) preferred to have knowledge 7. Experience in AMDP. (Nice to Have) 8. Experience in Fiori Elements. (Must Have) 9. Fiori/HTLM5 programming, debugging and testing. HTML5 & CSS, JavaScript, jQuery, OData, CDS Views, REST APIs. (Brief Summary of What We Need Overall.) 10. 8 years experience. Location - Chandigarh,Dadra & Nagar Haveli,Daman,Diu,Goa,Haveli,Hyderabad,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Sikkim

Project/Opportunity Details A SWEAP task is a real-world GitHub problem packaged with a testing environment and solution (i.e., the golden patch). This environment and solution are used to train an agent to solve the problem and verify the solution in the testing environment. A contributor’s job is to verify the testing environment based on testing logs, categorize the problem by specificity and knowledge areas, and write additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. 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 seeking contributors with professional software engineering experience on production repositories and experience building and maintaining large-scale coding repositories. 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? Verifying the testing environment based on testing logs. Categorizing problems by specificity and knowledge areas. Writing additional notes to help an agent understand what a good solution looks like based on the code edited in “the golden patch” and notes on GitHub. Evaluating the quality of AI-generated code, including human-readable summaries of your rationale. Solving coding problems and writing functional and efficient code in various programming languages. 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 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. Application Requirements Valid identification document from your current country of residence is required LinkedIn profile with 5+ connections is mandatory Tech Stack Priorities The current priority for this team is contributors who are well-versed in Go, Git, Java, JavaScript, Python, and TypeScript. Candidates will be screened on language-specific challenges, including: Go: concurrency management, race conditions, web server implementations Java: Thread-safe implementations, caching systems, concurrent operations TypeScript: Advanced type features, generics, utility types JavaScript​: Deep object cloning, memory management, prototypal inheritanc ePython: Optimization techniques, algorithm implementation, recursion Required Qualifications Professional software engineering experience on production repositories Experience building and maintaining large-scale coding repositories 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 software engineering and the future of AI technology, 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!

We’re hiring a Senior Backend Engineer to design and build high-performance, production-grade APIs and systems powered by Python. This role demands hands-on experience with Large Language Models (LLMs), API-driven service development, test-driven engineering, and scalable backend architecture. You’ll work at the intersection of modern AI workflows and robust system design — integrating real-world tools like Gmail, Jira, and LLMs via agent frameworks and orchestration libraries. This is a pure software engineering role — not analytics, data annotation, or data science. What You’ll Do Design and implement modular, production-ready APIs using Python Build and maintain LLM-powered systems (e.g., agent frameworks, RAG pipelines, LangChain/LangGraph workflows) Integrate LLMs into backend workflows efficiently and reliably Apply strict Test Driven Development (TDD) principles — tests first, code second Architect scalable databases and schema designs for service integrations Deliver clean, developer-friendly documentation Ship fast, without sacrificing stability, clarity, or correctness Requirements 5+ years of experience as a backend/full-stack engineer (strong backend focus) Advanced proficiency in Python and modern backend architecture Experience with LLM integration, including frameworks like LangChain, LangGraph, or similar Deep familiarity with TDD practices and fast-paced production deployments Strong foundation in database schema design and data modeling Proven ability to scale systems rapidly without compromising quality Excellent communication, documentation, and cross-functional collaboration skills Bonus Points Exposure to LLM function calling protocols and multi-agent orchestration paradigms Background in ML engineering or experience working alongside AI infrastructure teams Familiarity with APIs of tools like Gmail, Jira, Notion, Slack, etc.

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. Kannada speakers are needed for voice recording project. This project will have a short duration. This is a flexible task that is to be completed through an online application, available 24/7. Requirements Native level of speaking and listening in Kannada. Intermediate level of English or Spanish. Computer skills at user level. It is necessary to have the Android operating system mobile to carry out this project. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. NOTE: The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the proofs submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

Sigma.AI is a world leading technology company in data collection and annotation for the development of Artificial Intelligence systems with offices in Spain, the United States and the United Kingdom. We are looking for native Deccan transcribers for a remote project using Arabic Script. This is a flexible task which will be completed through an online application, available 24/7. Requirements Good oral comprehension and written expression of the mentioned language is essential. Intermediate level of English. Computer skills at user level. The Following Will Be Valued Experience in rating or data annotation. Attention to detail. Sigma AI does not hire through third parties. NOTE: The company may employ or rely on artificial intelligence systems in its selection processes. Such processing is carried out in an ethical, transparent, and legally compliant manner. The purpose of the processing is to evaluate the proofs submitted in the course of the selection process (for instance the transcribed content provided by the candidate). The legal basis for processing your data is the pre-contractual relationship between the parties and/or the provision of requested services.

We are seeking a Project Manager to oversee the intake, task flow, and vendor coordination for human rater data pipelines. This role will be responsible for triaging tickets, assigning vendor tasks, managing reporting, and ensuring smooth task execution across multiple vendor teams. The ideal candidate will have experience working with JIRA or other task flow management systems and a background in vendor coordination, engineering workflows, or similar structured environments. Key Responsibilities Task Flow & Intake Management Maintain and optimize the intake process for human rater data pipelines. Work with engineers to triage tickets and assign tasks to appropriate vendor teams. Monitor and prioritize task execution to ensure smooth workflow. Vendor Coordination Act as the main liaison between engineering teams and vendor partners. Assign vendor groups within internal tools and manage ongoing communications. Ensure efficient vendor task allocation and workflow tracking. Troubleshooting & Support Resolve access and tooling issues related to data and workflow systems. Troubleshoot vendor-related problems and escalate as needed. Reporting & Capacity Planning Develop structured reporting on task volumes, outputs, and efficiency. Build and maintain reporting dashboards, ensuring proper data structuring. Support vendor capacity planning by analyzing task flow trends. Training & Documentation Convert engineering instruction documents into structured training materials (e.g., slides, guides). Review and refine training documents to ensure accuracy and clarity for human raters. Assist in coordinating training efforts across vendor teams. Required Qualifications experience in project management, vendor management, or task flow coordination . Proficiency with JIRA or similar ticketing/task management systems. Experience in engineering workflows, data pipelines, or vendor operations . Strong problem-solving skills with the ability to troubleshoot access and workflow issues. Experience with reporting, dashboard management, and data structuring for process improvements. Excellent communication and coordination skills to manage vendor relationships and internal stakeholders. Ability to work independently and manage tasks across multiple time zones. Preferred Qualifications Exposure to AI workflows, data labeling, or human rater operations . Experience in scrum/agile environments for engineering teams. Familiarity with Google’s internal tools and vendor workflows (preferred but not required).

Are you excited by the challenge of building intelligent systems that live at the edge, understand natural language, and adapt to their environment? Do you thrive at the intersection of AI, embedded systems, and real-world impact? Join Mantra Softech as a Senior AI Engineer and help define the future of smart living by designing embedded AI agents , natural language interfaces , and predictive intelligence for next-generation smart devices . From LLMs to edge-deployed vision and sensor analytics, your work will power real-time decisions and intuitive user experiences - all while pushing the boundaries of machine learning innovation. About Us - Mantra Softech Founded in 2006, Mantra Softech is a global leader in high-tech hardware innovation, specializing in biometric and RFID-based solutions. As we expand into the Smart Home ecosystem , we are developing a new portfolio of IoT devices that deliver seamless, secure, and intelligent living experiences. We are building a design-led product team, and this is your opportunity to help shape the identity of a next-gen connected home. Location : Ahmedabad, (Full-Time | On-Site) About The Role We are developing the next generation of intelligent systems that combine embedded sensing, AI at the edge, predictive maintenance, and natural language interfaces. If you're excited about deploying ML pipelines in real-world hardware, turning unstructured prompts into actions or queries, and working across the spectrum of edge devices, cloud infrastructure, and AI modeling - we want to work with you. As a Senior AI Engineer, You Will i. Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning for home-automation projects. ii. Develop AI agents that can interpret, plan, and act autonomously in response to multi-modal inputs iii. Design and implement high-throughput, low-latency AI/ML pipelines and to operate at global scale. iv. Work on prompt engineering and iteratively develop LLM-based solutions tailored to custom use cases like text-to-SQL, text-to-command, and context-aware queries . v. Develop and optimize AI models for deployment on embedded hardware. vi. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. vii. Integrate real-time streaming data (video/audio/sensor) into analytics pipelines and AI workflows. viii. Develop MLOps pipelines : versioning, continuous training, deployment, and monitoring of models. ix. Collaborate on cloud infrastructure (AWS) for scalable backend and edge-cloud sync. Required Skills i. Solid foundation and expertise in developing and deploying statistical ML models ii. Experience with ML frameworks like Scikit-learn, PyTorch, TensorFlow,OpenCV etc. iii. Hands-on experience with real-life signal/data processing (audio, sensor data etc.) is a must iv. Understanding of MLOps tools and lifecycle (e.g., MLflow, DVC, monitoring tools) v. Strong proficiency in Python and/or C/C++ vi. Experience in building multi-modal AI systems (combining text, audio, sensor, vision inputs) vii. Familiarity with voice activity detection (VAD), wake-word detection, and speech-to-command pipelines viii. Hands-on experience with time-series analysis and forecasting models for predictive maintenance ix. Experience with GenAI, prompt engineering and LLMs along with APIs x. Experience with containerization (Docker) and deploying models via microservices architecture xi. Exposure to model quantization and embedded deployment. xii. Strong understanding of data annotation, synthetic data generation, and active learning workflows. Knowledge of code version management like Bit-bucket. xiii. Strong grasp of SQL : writing optimized queries, working with relational schemas, and integrating SQL into ML pipelines xiv. Exposure to NoSQL databases (e.g., MongoDB, Redis) for high-speed or unstructured data applications xv. Knowledge of AI safety, model robustness, and explainability techniques for production-grade systems Preferred Skills i. Experience with LangChain, LlamaIndex, or custom AI agent frameworks ii. Knowledge of digital twins, condition monitoring, or industrial telemetry iii. Exposure to event-driven edge/cloud orchestration Qualifications : Master's degree in relevant or related field of AI/ML from Tier-I/II institute with at least 3-4 years of experience (ref:hirist.tech)

Company Description DeepLLMData specializes in providing expert human data to power frontier models. We work on multiple domains including Coding, Python, DA/DS, Java, Swift, Programming, STEM, PhD, Maths, domain-specific experts, image and video annotators, and image and video data provisioning specialists. Role Description This is a Lead role for somebody from the programming background. We are looking for somebody who has hands-on experience with LLM Model training. He will perform following functions: A. Operations Lead will be responsible for day-to-day resource management for all the programs running at a point in time. B. Co-ordinate with all the Programmers to deliver the SFT and RLHF. C. Do the interviews and help with onboarding the Data annotation team. C. Should have hands-on experience to understand the Quality of the Coding SFT/RLHF being delivered by the team. D. Since the tasks are delivered with on-demand resources, good amount of co-ordination is needed. E. As the company grows this role will structure the Delivery to perform optimally Qualifications Experience of working with a LLM Model training Experience with Coding SFT/RLHF Strong ability to co-ordinate and lead the large number of various tasks B. Tech/BE from a IIT or a NIT More than 2+ years experience.

SAP UI5 and Fiori - Expertise in SAP UI5 & Fiori - Good knowledge of Fiori Elements, UI Annotations. - Strong foundation in JavaScript, HTML, CSS, XML/JSON, Restful API. - Good knowledge on UI5 controls & implementation details. - Expertise in development with Web IDE. - Strong understanding of SAP Fiori design guidelines. - Good Fiori debugging skills using browser. - Good knowledge of Fiori launchpad configuration (Group & Catalogs)

JOB DESCRIPTION “While we have our offices in Bangalore, Chennai, Hyderabad, Nagpur and Pune this position is hybrid with you being able to report to a location nearest to your current location, if the need arises.” 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. RESPONSIBILITIES Key Responsibilities Preprocess and clean raw text data for downstream NLP applications (e.g., tokenization, normalization, entity recognition). Annotate and label datasets for supervised learning tasks (e.g., intent classification, sentiment analysis, NER). Analyze and visualize linguistic patterns and insights from textual data. Work with data scientists to evaluate and improve model performance. Support the development of rule-based and machine learning-based NLP pipelines. Document and maintain guidelines for annotation and linguistic QA. Collaborate with stakeholders to understand domain-specific language challenges and requirements QUALIFICATIONS Required Qualifications Bachelor’s degree in Linguistics, Computer Science, Data Science, or a related field. 3+ years of hands-on experience with text analysis or NLP tasks. Proficiency in Python and common NLP libraries (e.g., spaCy, NLTK, pandas). Experience working with annotation tools (e.g., Prodigy, Labelbox, doccano). Strong understanding of language structure and linguistic features. Ability to apply regular expressions and text parsing techniques effectively. Familiarity with data visualization tools and basic statistics. Preferred Qualifications Experience in domain-specific NLP (e.g., clinical/biomedical, legal, financial). Knowledge of vectorization methods (TF-IDF, word2vec, BERT embeddings). Exposure to ML model evaluation metrics (e.g., precision, recall, F1 score). Experience with SQL and working with large datasets. Familiarity with LLMs (e.g., OpenAI, Hugging Face Transformers). Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues great benefits are just part of what makes Perficient a great place to work. WHO WE ARE Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed. WHAT WE BELIEVE At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special. We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet. Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated. Disability Accommodations: Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us. Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time. ABOUT US 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, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Select work authorization questions to ask when applicants apply 1. Are you legally authorized to work in the United States? 2. Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?

Are you excited by the challenge of building intelligent systems that live at the edge, understand natural language, and adapt to their environment? Do you thrive at the intersection of AI, embedded systems, and real-world impact? About Us – Mantra Softech Mantra Softech is a technology leader in biometric (Face, Finger, & Iris) solutions, now building the next generation of AI-powered smart home devices . As we expand into intelligent IoT, we're forming a world-class AI team to bring real-time perception, decision-making, and automation to the edge. Join us to shape the future of connected living. Role Overview We're looking for a Senior AI Engineer who thrives at the intersection of AI, embedded systems, and real-world impact. You will lead initiatives in LLMs, Edge AI, sensor fusion, ML Models and natural language interfaces to build AI-powered experiences across a new class of smart home devices. Location 📍 Ahmedabad, (Full-Time | On-Site) About the Role We are developing the next generation of intelligent systems that combine embedded sensing, AI at the edge, predictive maintenance, and natural language interfaces. If you're excited about deploying ML pipelines in real-world hardware, turning unstructured prompts into actions or queries, and working across the spectrum of edge devices, cloud infrastructure, and AI modeling — we want to work with you. Key Responsibilities Drive research initiatives and proof-of-concepts that push the state of the art in Gen AI and large-scale machine learning for home-automation projects Build AI agents capable of interpreting multi-modal inputs (vision, voice, sensors) and performing intelligent actions Design and deploy AI/ML pipelines across edge and cloud environments Develop natural language interfaces for voice and text-based interactions Work on prompt engineering and iteratively develop LLM-based solutions tailored to custom use cases like text-to-SQL, text-to-command, and context-aware queries Optimize ML models for embedded deployment and real-time execution Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Integrate real-time streaming data (video/audio/sensor) into analytics pipelines and AI workflows Implement MLOPs workflows : model versioning, retraining, monitoring Collaborate on cloud infrastructure (AWS/Azure/GCP) for scalable backend and edge-cloud sync. Required Skills 3–5 years of hands-on experience in AI/ML system development Expertise in Python (and/or C/C++), PyTorch/TensorFlow, and ML frameworks Solid foundation and expertise in developing and deploying statistical ML models Experience with ML frameworks like Scikit-learn, PyTorch, TensorFlow,OpenCV etc. Hands-on experience with real-life signal/data processing (audio, sensor data, etc.) is a must Understanding of MLOps tools and lifecycle (e.g., MLflow, DVC, monitoring tools) Hands-on experience with time-series analysis and forecasting models for predictive maintenance Experience with LLMs, prompt engineering, and GenAI pipelines Deployment experience using Docker, microservices, and embedded platforms Exposure to model optimization (quantization, pruning) for edge AI Strong understanding of data annotation, synthetic data generation, and active learning workflows Strong grasp of SQL and exposure to NoSQL databases (e.g., Redis, MongoDB) Preferred Skills Experience with LangChain, LlamaIndex, or custom AI agent frameworks Knowledge of digital twins, condition monitoring, or telemetry Knowledge of AI safety, model robustness, and explainability techniques for production-grade systems Familiarity with edge-cloud orchestration and event-driven systems Qualifications Master’s degree in relevant or related field of AI/ML from Tier-I/II institute with 3-4 years of experience If you're passionate about building intelligent systems that power the next generation of smart home devices — from real-time perception to autonomous decision-making — we want to hear from you. Join the AI team at Mantra Softech and help redefine the smart home experience through cutting-edge artificial intelligence. How to Apply Send your resume and portfolio to jatin.prakash@mantratec.com Please include "Senior - AI Engineer" in the subject line.

Position: Data Collection & Annotation Specialist Company: Terafac Technologies Pvt. Ltd. Location: Chandigarh (Work from Office / Field-Based) Employment Type: Internship, Full-time Experience Required: 0–2 years Compensation: ₹1.8 LPA – ₹3.2 LPA (no salary bar for exceptional candidates) About the Role We are seeking a detail-oriented and self-driven Data Collection & Annotation Specialist to join our team. In this role, you will be responsible for capturing high-quality visual data from real-world industrial environments and supporting the development of our machine vision and AI models. This is a great opportunity to work at the foundation of intelligent automation systems. Key Responsibilities Collect image and video data from field locations using standardized documentation practices. Maintain contextual records such as time, location, lighting conditions, and task notes. Collaborate with engineering teams to ensure data relevance and completeness. Upload and organize data into shared systems (cloud storage or internal tools). Adhere to safety procedures during site visits and ensure professional conduct. Flag any challenges like limited access or inconsistent data samples for review. Minimum Qualifications Diploma, ITI, or Bachelor’s degree in any discipline (technical background preferred). Strong attention to detail, with consistent documentation habits. Self-motivated and dependable; able to work independently in field settings. Proficiency in English and comfort navigating digital workflows. Preferred Qualifications Prior experience in industrial fieldwork, surveys, or technical documentation. Familiarity with cloud platforms like Google Drive or Dropbox for organizing and sharing data. Interest in AI, robotics, or digital transformation tools. Why Join Terafac? Terafac Technologies Pvt. Ltd. is building an AI-Vision platform for industrial automation that’s pushing the boundaries of what’s possible on the shop floor. This role offers real-world exposure to intelligent technologies, a high-energy work culture, and the chance to be part of a team doing breakthrough work in deep tech and robotics. Contact Details Email Address : hiring@terafac.com Contact Number : +91 8264445150 Job Types: Full-time, Permanent Pay: ₹100,000.00 - ₹300,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Work Location: In person

We are seeking BIM–MEP Engineers/Modelers with 3 to 4 years of experience in delivering technically sound BIM models and documentation using Revit, AutoCAD, and Navisworks . The ideal candidates will work on international BIM projects (USA, UK, ANZ) and be responsible for modeling, family creation, documentation, clash checking, and drawing production for MEP systems. Key Responsibilities: Develop accurate 3D BIM models for mechanical, electrical, and plumbing systems using Revit MEP and AutoCAD MEP . Create and modify Revit families , worksets , schedules, parameters, and formulas based on project requirements. Set up and manage project templates, views, sheets, filters, and documentation sets . Generate coordinated shop drawings, installation drawings , and as-built documentation . Perform clash detection using Navisworks , and coordinate with internal teams to resolve issues. Follow project-specific BIM execution plans and ensure compliance with international BIM standards (US, UK, ANZ). Maintain model accuracy and data integrity throughout the project lifecycle. Collaborate with team leads and designers to meet deadlines and maintain quality standards. Requirements: Diploma or Bachelor's Degree in Mechanical or Electrical Engineering. 3–4 years of hands-on experience working on BIM MEP projects . Expertise in: Revit MEP (modeling, families, worksets, annotation, documentation) AutoCAD MEP Navisworks (clash detection and coordination) Solid understanding of MEP components , systems, and documentation processes. Familiarity with international codes and client specifications from USA, UK, and ANZ. Strong attention to detail, quality orientation, and communication skills. Job Types: Full-time, Permanent Benefits: Health insurance Provident Fund Supplemental Pay: Performance bonus Work Location: In person