Remote STEM Jobs in India

Remote STEM Jobs in India at Rex.zone focus on applied engineering work that supports AI/ML training pipelines, including data labeling, RLHF evaluation, prompt evaluation, and QA evaluation for large language models. You will collaborate with distributed teams to produce high-quality training data, follow annotation guidelines compliance, and drive model performance improvement across NLP, computer vision, and content safety labeling workflows. This full-time remote role fits mid-senior engineers who want to build measurable impact in LLM evaluation and training data quality while exploring and applying to remote opportunities through Rex.zone.

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Job Overview

Keyword: Remote STEM Jobs in India — Remote STEM Engineer (AI/ML Data Operations) - Title: Remote STEM Engineer (India) - 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: STEM engineering, Python, data labeling, RLHF, prompt evaluation, QA evaluation, NLP, computer vision annotation, named entity recognition, content safety labeling, annotation guidelines compliance, training data quality, LLM evaluation - Salary Currency: USD - Salary Min: 63360 - Salary Max: 126720 - Pay Period: YEAR You will support remote STEM job workflows from India while operating in a globally distributed engineering environment. The focus is building reliable evaluation and annotation processes that connect real-world data to AI/ML model training, including LLM training pipelines, dataset curation, and quality controls that reduce noise and improve downstream model behavior.

Key Responsibilities

Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks; implement RLHF and prompt evaluation protocols to improve model behavior; define and enforce annotation guidelines compliance and reviewer calibration; run QA evaluation, spot checks, inter-annotator agreement analysis, and error taxonomy tracking; curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence; analyze labeling outcomes to drive model performance improvement and training data quality; collaborate with cross-functional stakeholders (engineering, product, research, operations) to translate requirements into measurable labeling instructions; maintain documentation for task definitions, edge cases, and quality metrics; use Python and data tooling to automate checks, sampling plans, and reporting.

Required Qualifications

Mid-senior engineering background in STEM disciplines (CS, EE, math, physics, statistics, or related); strong Python skills and comfort working with structured and unstructured data; practical understanding of LLM evaluation, data labeling, and QA evaluation concepts; experience with NLP tasks such as named entity recognition, text classification, relevance ranking, or summarization; ability to interpret annotation guidelines, handle ambiguous cases, and document decisions; strong communication skills for asynchronous remote work and cross-team coordination.

Preferred Qualifications

Experience with RLHF pipelines, preference ranking, or rubric-based evaluation; familiarity with computer vision annotation (bounding boxes, polygons, segmentation) and multimodal evaluation; experience building quality systems (sampling, audits, disagreement resolution, calibration sessions); exposure to content safety labeling, policy-based evaluation, or trust and safety workflows; experience working with annotation vendors, BPOs, AI labs, or tech startups on high-volume labeling programs; knowledge of metrics such as precision/recall, Cohen’s kappa, and error analysis frameworks.

Work Model and Modifiers

Remote: This role is explicitly Remote. Full-time: Employment Type is FULL_TIME. Other common modifiers you may see on Rex.zone for related roles: contract, freelance, entry-level, senior. Domains supported: NLP, computer vision, content safety, LLM training. Employer environments supported: AI labs, tech startups, BPOs, annotation vendors.

How to Apply on Rex.zone

Visit Rex.zone and search for “Remote STEM Jobs in India” to find matching remote roles and apply. Prepare a resume that highlights STEM engineering impact, Python/data tooling, and any experience with data labeling, RLHF, LLM evaluation, training data quality, and annotation guidelines compliance. If you have examples of QA evaluation reports, calibration frameworks, or prompt evaluation rubrics, include them in your application materials.

Frequently Asked Questions

  • Q: What does “Remote STEM Jobs in India” mean on Rex.zone?

    It refers to remote STEM roles that candidates based in India can perform for globally distributed teams. On Rex.zone, these often connect engineering skills to AI/ML training workflows like data labeling, RLHF, prompt evaluation, and QA evaluation.

  • Q: Is this role fully remote and full-time?

    Yes. The Remote Type is Remote and the Employment Type is FULL_TIME.

  • Q: What kind of work is typical in this remote STEM role?

    Typical work includes building or operating evaluation and annotation processes, improving training data quality, writing and enforcing annotation guidelines, running QA audits, and contributing to LLM evaluation across NLP, computer vision annotation, and content safety labeling.

  • Q: Do I need prior RLHF experience?

    It is preferred but not required. Strong fundamentals in data labeling, QA evaluation, and structured engineering problem-solving are important, and RLHF concepts can be learned through well-defined rubrics and calibration.

  • Q: What skills should I highlight to match the keyword intent?

    Highlight STEM engineering, Python, data labeling, RLHF, prompt evaluation, QA evaluation, NLP, computer vision annotation, named entity recognition, content safety labeling, annotation guidelines compliance, training data quality, and LLM evaluation.

  • Q: What employers commonly hire for these workflows?

    AI labs, tech startups, BPOs, and annotation vendors commonly hire engineers and specialists to operate labeling and evaluation programs that improve model performance.

  • Q: Are contract or freelance options available too?

    This posting is full-time, but Rex.zone may list related remote contract and freelance roles depending on program needs and hiring cycles.

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