[{"data":1,"prerenderedAt":55},["ShallowReactive",2],{"job-ai-engineer-jobs-in-india":3},{"Ques":4,"Slug":25,"Header":26,"job_category":54},{"title":5,"content":6},"Frequently Asked Questions",[7,10,13,16,19,22],{"A":8,"Q":9},"This page targets Remote roles. Individual listings on Rex.zone may include remote, hybrid, contract, freelance, or on-site variants, but this posting is explicitly Remote and full-time.","Are these AI engineer jobs in India remote or on-site?",{"A":11,"Q":12},"Common work includes NLP and LLM features, large language model evaluation, RLHF evaluation, prompt evaluation, training data quality improvements, and production deployment with monitoring.","What types of AI work are most common for these roles?",{"A":14,"Q":15},"Yes. Many roles partner closely with data operations on data labeling, annotation guidelines compliance, QA evaluation, and feedback loops that drive model performance improvement.","Do AI engineers work with data labeling and QA evaluation?",{"A":17,"Q":18},"Keyword-aligned skills include Python, machine learning, deep learning, LLMs, NLP, computer vision, RLHF, prompt evaluation, data labeling, QA evaluation, MLOps, and model deployment.","What skills should match the keyword intent for AI engineer jobs in India?",{"A":20,"Q":21},"This posting is Mid-Senior and full-time, aligned to engineers who can design evaluation plans, build pipelines, and ship model-backed services.","What experience level is targeted for this job page?",{"A":23,"Q":24},"Rex.zone commonly features roles across AI labs, tech startups, enterprises, BPOs, and annotation vendors, depending on the project domain and model stack.","Which employer types hire for AI engineer jobs in India through Rex.zone?","ai engineer jobs in india",{"desc":27,"title":28,"content":29},"AI Engineer jobs in India on Rex.zone focus on building, evaluating, and deploying production AI systems for real-world NLP and computer vision workflows. You will contribute to LLM training pipelines, RLHF evaluation, prompt evaluation, data labeling quality, and QA evaluation to improve model performance and safety. These roles support AI labs, tech startups, enterprises, BPOs, and annotation vendors, with remote full-time options and cross-functional ownership from dataset strategy to model monitoring. Explore Rex.zone to find AI engineer openings aligned to India-based talent, global teams, and scalable AI delivery.","AI Engineer Jobs in India",[30,33,36,39,42,45,48,51],{"h2":31,"desc":32},"AI Engineer Jobs in India — Remote (Full-Time)","Title: AI Engineer 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: Python, Machine Learning, Deep Learning, LLMs, NLP, Computer Vision, RLHF, Prompt Evaluation, Data Labeling, QA Evaluation, MLOps, Model Deployment\nSalary Currency: USD\nSalary Min: 63360\nSalary Max: 126720\nPay Period: YEAR",{"h2":34,"desc":35},"About the Role","As an AI Engineer supporting India-based hiring pipelines, you will design and implement ML\u002FLLM features, improve training data quality, and ship reliable model-backed services. You will collaborate with product, data operations, and QA teams to define labeling specifications, annotation guidelines compliance, and evaluation protocols (including RLHF evaluation and prompt evaluation). You will operationalize experiments, track model performance improvement, and ensure safe, measurable releases through testing, monitoring, and iterative dataset refinement.",{"h2":37,"desc":38},"Key Responsibilities","You will build and maintain ML\u002FLLM components for NLP and computer vision; design evaluation harnesses for large language model evaluation, QA evaluation, and content safety labeling; partner with data labeling teams on taxonomy design, edge-case mining, and training data quality audits; implement RLHF workflows, preference data collection logic, and reward modeling integrations where applicable; create prompt libraries, prompt evaluation suites, and regression tests; deploy models via APIs and batch pipelines, add observability, and run post-deploy error analysis; document experiment results, data provenance, and model limitations for stakeholder review.",{"h2":40,"desc":41},"What You Will Work On (Common Projects)","LLM training pipelines and dataset curation; named entity recognition and text classification for enterprise workflows; computer vision annotation strategies and active learning loops; content safety labeling and policy-driven evaluation; human-in-the-loop review tooling and QA sampling; offline\u002Fonline evaluation metrics, calibration, and A\u002FB testing; MLOps automation for training, deployment, monitoring, and rollback.",{"h2":43,"desc":44},"Required Qualifications","Mid-senior experience delivering ML systems end to end; strong Python and practical ML engineering skills; experience with NLP, LLMs, or computer vision; familiarity with evaluation methods, error analysis, and dataset quality control; ability to translate product requirements into measurable model goals; comfort working with cross-functional teams spanning engineering, data operations, and QA.",{"h2":46,"desc":47},"Preferred Qualifications","Experience with RLHF, preference data, or prompt evaluation at scale; experience with data labeling operations, annotation tooling, and QA evaluation processes; understanding of content safety labeling and policy-based evaluation; experience with MLOps practices, CI\u002FCD for ML, and model monitoring; strong communication for documenting assumptions, metrics, and trade-offs.",{"h2":49,"desc":50},"Remote Work Notes","This role is Remote and supports distributed teams. You will collaborate across time zones using clear documentation, async updates, and structured evaluation reports.",{"h2":52,"desc":53},"How to Apply on Rex.zone","Visit Rex.zone and search for \"AI Engineer Jobs in India\" to explore current openings, compare requirements, and apply to roles that match your ML\u002FLLM background, evaluation experience, and production engineering strengths.","Engineering",1786024776802]