STEM Research Jobs in India

STEM Research Jobs in India at Rex.zone focus on applied research engineering that turns STEM fundamentals into production-ready AI/ML systems. In this full-time remote role, you will design experiments, build prototypes, and evaluate models across NLP, computer vision, and LLM training pipelines. You will collaborate with engineering teams to improve training data quality, run QA evaluation, and validate model performance improvement through repeatable research workflows. This page is built to help you explore and apply to Rex.zone roles aligned to STEM research, including prompt evaluation, RLHF evaluation, and responsible AI research support.

STEM Research Jobs in India

About the Role

You will operate as a STEM research engineer supporting AI/ML development through experiment design, rapid prototyping, and measurable evaluation. Your work will connect research hypotheses to production constraints, including annotation guidelines compliance, dataset curation, and large language model evaluation. You will help define evaluation protocols, analyze error patterns, and recommend changes that improve model robustness, safety, and generalization.

What You Will Do

You will plan and run controlled experiments, maintain reproducible research notebooks, and report statistically sound results. You will evaluate LLM outputs via prompt evaluation and QA evaluation, contribute to RLHF evaluation workflows, and collaborate on data labeling strategies for NLP and computer vision. You will create and refine rubrics for content safety labeling, named entity recognition, and task-specific annotation, then verify training data quality via sampling, audits, and inter-annotator agreement checks.

Workflows and Research Areas

Typical workflows include dataset exploration, feature engineering, baseline modeling, evaluation harness development, and error analysis. You may support LLM training pipelines by defining evaluation sets, conducting human-in-the-loop reviews, and measuring model performance improvement across releases. Domain coverage can include NLP classification, information extraction, NER, retrieval-augmented generation evaluation, computer vision annotation review, and safety policy compliance testing.

Requirements

Mid-Senior experience in applied research, data science, or engineering with strong experimental design and statistical reasoning. Proficiency in Python and ML tooling, plus the ability to interpret model metrics and qualitative failure modes. Familiarity with LLM evaluation concepts (prompt evaluation, rubric design, QA evaluation) and comfort working with labeling operations, annotation guidelines compliance, and data quality processes.

Preferred Qualifications

Hands-on experience with RLHF evaluation, preference modeling, or human feedback programs. Exposure to NLP and computer vision datasets, named entity recognition, and content safety labeling. Experience building evaluation harnesses, automated QA checks, and documentation that enables repeatable research execution across teams.

Why Rex.zone

Rex.zone provides a platform to discover and apply to remote, full-time STEM research roles aligned to AI product delivery. You will work on practical research problems with clear success metrics, defined evaluation standards, and cross-functional collaboration focused on reliable model behavior and measurable improvements.

How to Apply

Apply through Rex.zone with a resume highlighting applied research outcomes, experimental design, and end-to-end evaluation work. Include examples of projects involving model evaluation, training data quality, annotation processes, or safety and QA frameworks.

Frequently Asked Questions

Q: Are these STEM research jobs in India remote?
Yes. The role is explicitly Remote and supports distributed collaboration through documented research workflows, evaluation protocols, and clear deliverables.
Q: What kind of STEM research is involved?
Applied research focused on building and evaluating AI/ML systems, including NLP and computer vision tasks, large language model evaluation, and training data quality improvements.
Q: Do I need experience with RLHF?
RLHF experience is preferred but not mandatory. Relevant experience includes prompt evaluation, QA evaluation, rubric design, and structured human feedback processes.
Q: Is this a full-time role and what is the experience level?
Yes. The posting is FULL_TIME and targets Mid-Senior candidates.
Q: What skills best match this STEM research role?
Strong experimental design, statistical analysis, Python, machine learning foundations, and practical experience with evaluation methods such as QA evaluation, prompt evaluation, and data labeling quality checks.
Q: What does success look like in this role?
Clear model performance improvement backed by reproducible experiments, reliable evaluation metrics, and demonstrably higher training data quality and annotation guidelines compliance.
Q: Can candidates with a non-traditional background apply?
Yes, if you can demonstrate applied research capability through projects, publications, or engineering outcomes that show strong experimentation, analysis, and evaluation skills.
Q: Where do I apply for STEM research jobs in India on Rex.zone?
Use Rex.zone to find the role and submit your application with evidence of applied research and evaluation experience aligned to AI/ML development.

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