Highest Paying STEM Jobs India

This Rex.zone page covers highest paying STEM jobs India employers hire for, with a focus on remote, full-time engineering roles that power real AI/ML training workflows. These jobs support large language model evaluation, RLHF, data labeling, QA evaluation, prompt evaluation, and annotation guidelines compliance to improve training data quality and model performance improvement. If you are targeting top compensation in STEM while working with AI labs, tech startups, BPOs, and annotation vendors, explore these roles and apply through Rex.zone for remote opportunities.

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Highest Paying STEM Jobs India — AI/ML Data Annotation Specialist

Title: Highest Paying STEM Jobs India — AI/ML Data Annotation Specialist Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: RLHF, data labeling, QA evaluation, prompt evaluation, named entity recognition, computer vision annotation, content safety labeling, LLM training pipelines Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will design and execute high-accuracy data labeling and LLM evaluation tasks that improve training data quality for production AI systems. Work includes RLHF preference ranking, prompt evaluation, QA evaluation, content safety labeling, and adherence to annotation guidelines compliance. You will collaborate with engineers and program leads to identify error patterns, reduce ambiguity in labeling instructions, and support model performance improvement through clear feedback loops. Typical pipelines include NER, text classification, summarization grading, safety policy enforcement, and computer vision annotation where needed. This role is remote and full-time via Rex.zone and may support AI labs, tech startups, BPOs, and annotation vendors. Responsibilities: • Perform RLHF preference ranking and rationale writing to support large language model evaluation • Execute data labeling tasks across NLP and multimodal datasets, including named entity recognition and computer vision annotation • Run QA evaluation checks, measure inter-annotator agreement, and drive training data quality improvements • Conduct prompt evaluation and response grading for helpfulness, harmlessness, and policy compliance • Maintain annotation guidelines compliance and propose guideline revisions when edge cases recur • Triage quality issues, document failure modes, and communicate insights for model performance improvement Qualifications: • Mid-Senior experience in data labeling, QA evaluation, or ML data operations • Strong understanding of RLHF concepts, evaluation rubrics, and scalable labeling workflows • Familiarity with NLP tasks (classification, NER, summarization) and content safety labeling • Comfort with ambiguity, policy interpretation, and consistent decision-making under guidelines How You Will Be Evaluated: • Accuracy and consistency in labeling and evaluation • Guideline adherence, edge-case handling, and QA defect reduction • Clear written rationales that improve reviewer and model feedback loops Apply: • Visit Rex.zone and submit your application for this remote, full-time role

Highest Paying STEM Jobs India — RLHF Evaluation Engineer

Title: Highest Paying STEM Jobs India — RLHF Evaluation Engineer Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: RLHF, QA evaluation, prompt evaluation, evaluation rubrics, large language model evaluation, training data quality, error analysis, model performance improvement Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will build and run evaluation workflows for LLM training pipelines, focusing on RLHF data quality, prompt evaluation, and QA evaluation at scale. The work connects product goals to measurable metrics, using evaluation rubrics that improve large language model evaluation reliability and model performance improvement. You will partner with data labeling teams, engineers, and stakeholders to define standards for helpfulness, factuality, refusal behavior, and content safety labeling outcomes. This role is remote and full-time via Rex.zone and may support AI labs, tech startups, BPOs, and annotation vendors. Responsibilities: • Design evaluation rubrics and sampling strategies for RLHF and supervised fine-tuning datasets • Run QA evaluation programs, audit outputs, and quantify training data quality issues • Lead prompt evaluation and response grading initiatives, including edge-case policy tests • Perform error analysis and write actionable recommendations to improve model performance improvement • Coordinate guideline updates and evaluator training to ensure annotation guidelines compliance • Report evaluation results with clear metrics, dashboards, and release readiness criteria Qualifications: • Mid-Senior experience in evaluation, QA, ML data operations, or applied NLP • Strong written communication for rubric design, rationale standards, and issue documentation • Familiarity with LLM failure modes, bias/safety concerns, and dataset curation practices How You Will Be Evaluated: • Reliability of evaluation outcomes and reduction in QA escapes • Rubric clarity, consistency across evaluators, and measurable improvements in model performance Apply: • Apply through Rex.zone for this remote, full-time RLHF evaluation role

Highest Paying STEM Jobs India — Computer Vision Annotation Lead

Title: Highest Paying STEM Jobs India — Computer Vision Annotation Lead Date: 25-02-2026 Company: Rexzone Country: US Remote Type: Remote Employment Type: FULL_TIME Experience Level: Mid-Senior Industry: Technology Job Function: Engineering Skills: computer vision annotation, data labeling, QA evaluation, annotation guidelines compliance, bounding boxes, segmentation masks, inter-annotator agreement, training data quality Salary Currency: USD Salary Min: 63360 Salary Max: 126720 Pay Period: YEAR You will lead computer vision annotation programs that supply high-quality training data for detection, segmentation, and multimodal LLM training pipelines. The work includes defining annotation guidelines compliance, running QA evaluation, and improving training data quality through audit sampling and inter-annotator agreement measurement. You will coordinate workflows across vendors or internal teams, resolve edge cases, and ensure datasets meet performance and coverage targets for model performance improvement. This role is remote and full-time via Rex.zone and may support AI labs, tech startups, BPOs, and annotation vendors. Responsibilities: • Own end-to-end CV data labeling programs, including bounding boxes, polygons, and segmentation masks • Define guidelines, manage edge cases, and enforce annotation guidelines compliance • Implement QA evaluation processes, calibrate reviewers, and track defect categories • Analyze dataset gaps, improve label consistency, and drive training data quality improvements • Collaborate with engineering to align annotation outputs with downstream model requirements Qualifications: • Mid-Senior experience managing computer vision annotation or ML data operations • Strong understanding of quality metrics, sampling, and reviewer calibration • Experience coordinating annotation teams, vendors, or multi-project pipelines How You Will Be Evaluated: • Annotation quality, consistency, and measurable impact on model performance improvement • Efficiency and predictability of delivery while maintaining QA standards Apply: • Apply on Rex.zone for this remote, full-time computer vision annotation lead role

Frequently Asked Questions

  • Q: What does this “Highest Paying STEM Jobs India” page on Rex.zone cover?

    It lists remote, full-time STEM roles aligned to high-compensation engineering pathways, especially AI/ML data operations and evaluation work that supports RLHF, data labeling, QA evaluation, and large language model evaluation.

  • Q: Are these roles remote and full-time?

    Yes. Each job heading includes LinkedIn-compatible metadata showing Remote Type: Remote and Employment Type: FULL_TIME.

  • Q: What skills are most important for these roles?

    Common skills include RLHF, data labeling, QA evaluation, prompt evaluation, training data quality, annotation guidelines compliance, named entity recognition, computer vision annotation, content safety labeling, and LLM training pipelines.

  • Q: What industries and employer types might these roles support?

    They can support Technology employers such as AI labs, tech startups, BPOs, and annotation vendors working on production AI systems and evaluation programs.

  • Q: How do I apply?

    Apply through Rex.zone using the role details on this page and submit your application for the remote, full-time opening that best matches your background.

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