[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-ai-developer-jobs-in-india":3},{"Ques":4,"Slug":31,"Header":32,"job_category":60},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22,25,28],{"A":8,"Q":9},"An AI developer builds and deploys ML\u002FLLM-powered features, creates evaluation pipelines, collaborates on training data quality and data labeling strategy, and runs QA evaluation to ensure reliable model behavior in production.","What does an AI developer do in these roles?",{"A":11,"Q":12},"Yes. The role on this page is explicitly marked Remote, while supporting candidates based in India for India-targeted hiring.","Are these AI developer jobs in India remote?",{"A":14,"Q":15},"Common skills include Python, PyTorch\u002FTensorFlow, NLP, computer vision, LLM integration, prompt engineering, RLHF concepts, model evaluation, data labeling collaboration, MLOps, Docker, Kubernetes, and AWS.","What skills best match AI developer jobs in India on Rex.zone?",{"A":17,"Q":18},"It is not always required, but experience with RLHF, prompt evaluation, annotation guidelines, and QA evaluation is a strong advantage because it improves model performance improvement cycles for LLM applications.","Do I need experience with RLHF and data labeling?",{"A":20,"Q":21},"Hiring can include AI labs, tech startups, enterprise product teams, BPOs, and annotation vendors building or supporting LLM training pipelines, NLP systems, CV models, and content safety programs.","What types of companies hire for these roles?",{"A":23,"Q":24},"Yes. The employment type is FULL_TIME, and the remote type remains Remote.","Is this role full-time?",{"A":26,"Q":27},"The listed salary range is 63360 to 126720 USD per year.","What is the salary range listed on this page?",{"A":29,"Q":30},"Rex.zone is the platform context for discovering and applying to AI roles that combine engineering execution with ML\u002FLLM development, evaluation, and human-in-the-loop quality workflows.","How does Rex.zone relate to this job posting?","ai-developer-jobs-in-india",{"desc":33,"title":34,"content":35},"AI developer jobs in India focus on building, fine-tuning, and deploying machine learning and LLM-powered applications used in real production workflows. At Rex.zone, these roles connect software engineering with model development, LLM training pipelines, RLHF evaluation, data labeling strategy, and QA evaluation to improve model performance and reliability. You may work across NLP, computer vision, content safety, and prompt evaluation, collaborating with product teams and AI labs to ship scalable AI features. Explore full-time remote opportunities, contract or freelance engagements, and pathways from entry-level to senior positions across startups, enterprises, BPOs, and annotation vendors.","AI Developer Jobs in India",[36,39,42,45,48,51,54,57],{"h2":37,"desc":38},"Open Role: AI Developer (India, Remote)","Title: AI Developer Jobs in India\nDate: 25-02-2026\nCompany: Rexzone\nCountry: US\nRemote Type: Remote\nEmployment Type: FULL_TIME\nExperience Level: Mid-Senior\nIndustry: Technology\nJob Function: Engineering\nSkills: AI development, Machine learning, Deep learning, LLM integration, NLP, Computer vision, Prompt engineering, RLHF, Model evaluation, Data labeling, QA evaluation, Python, PyTorch, TensorFlow, MLOps, Docker, Kubernetes, AWS\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":40,"desc":41},"About Rex.zone","Rex.zone is a platform for discovering and delivering AI\u002FML work across model development, LLM evaluation, and AI data operations. Teams use Rex.zone to connect talent with real-world pipelines such as training data quality, annotation guidelines compliance, model performance improvement, and large language model evaluation. Our ecosystem spans AI labs, tech startups, enterprise teams, BPOs, and annotation vendors supporting NLP, CV, and content safety programs.",{"h2":43,"desc":44},"What You Will Do","You will design, build, and ship AI-driven features that integrate ML models and LLMs into production applications. Typical work includes developing inference services, implementing prompt evaluation harnesses, partnering with data teams on data labeling specifications, running QA evaluation to measure accuracy and safety, and collaborating on RLHF workflows to improve response quality. You will own end-to-end delivery: experimentation, metrics, deployment, monitoring, and iterative model performance improvement.",{"h2":46,"desc":47},"Key Responsibilities","Own AI application development from prototype to production, including APIs, batch pipelines, and real-time inference. Build and maintain LLM evaluation and prompt evaluation suites, including golden datasets and regression tests. Partner with data labeling and QA teams to define annotation guidelines, acceptance criteria, and training data quality checks. Implement model monitoring for drift, hallucination patterns, latency, and cost. Contribute to RLHF data collection, preference modeling experiments, and safety policy adherence. Document workflows and ensure reproducibility across environments.",{"h2":49,"desc":50},"Required Qualifications","Mid-to-senior experience building ML-enabled software products. Strong Python skills and hands-on experience with PyTorch or TensorFlow. Practical knowledge of NLP and\u002For computer vision, and how to evaluate models with offline metrics and human-in-the-loop QA evaluation. Experience deploying services with Docker and CI\u002FCD; familiarity with Kubernetes and AWS is preferred. Ability to work with structured and unstructured datasets, and collaborate on data labeling and named entity recognition tasks when needed.",{"h2":52,"desc":53},"Preferred Qualifications","Experience integrating LLMs (RAG, tools\u002Ffunction calling, embeddings, vector search). Familiarity with RLHF, preference data collection, and large language model evaluation methods. Experience with content safety labeling, policy enforcement, and red-teaming workflows. Exposure to MLOps practices such as feature stores, model registries, and observability for model performance improvement.",{"h2":55,"desc":56},"Work Modifiers (Search Coverage)","This page covers remote and full-time roles by default, and may also match contract, freelance, entry-level, and senior AI developer openings depending on team needs. Domain coverage includes NLP, computer vision, LLM training pipelines, prompt evaluation, content safety, named entity recognition, and QA evaluation. Employer coverage includes AI labs, tech startups, enterprises, BPOs, and annotation vendors hiring through Rex.zone.",{"h2":58,"desc":59},"How to Apply","Apply via Rex.zone using your resume, GitHub\u002Fportfolio, and a brief summary of relevant AI projects. Include examples of production deployments, evaluation methodology, and any experience with RLHF, data labeling strategy, or LLM safety and QA evaluation.","Engineering"]