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Remote STEM Engineer (India) — AI/ML Data Operations

Trust & Safety Jobs
Remote, India Posted Nov 8, 2026
RemoteUSD 30 - 50 / hour

About this role

Remote STEM Engineer (India) — AI/ML Data Operations

RemoExperts

6 hours ago

Full-time

Remote

India

$30 - $50 USD hourly

Engineer

About The Role

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 globally distributed teams to produce high-quality training data and improve model performance across NLP, computer vision, and content safety labeling workflows.

Key Responsibilities

  • Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks

  • Implement RLHF and prompt evaluation protocols using well-defined rubrics and calibration

  • Define and enforce annotation guidelines compliance; maintain edge-case documentation

  • Run QA evaluation audits, spot checks, inter-annotator agreement analysis, and error taxonomy tracking

  • Curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence

  • Use Python and data tooling to automate checks, sampling plans, reporting, and quality metrics

  • Required Qualifications

  • Mid-senior STEM/engineering background (CS, EE, math, physics, statistics, or related)

  • Strong Python skills; comfort with structured and unstructured data

  • Practical understanding of LLM evaluation, data labeling, and QA evaluation concepts

  • Experience with NLP tasks (e.g., NER, text classification, relevance ranking, summarization)

  • Ability to interpret guidelines, resolve ambiguity, and communicate asynchronously in a remote setting

  • Preferred Qualifications

  • Experience with RLHF pipelines, preference ranking, or rubric-based evaluation

  • Familiarity with computer vision annotation (bounding boxes, polygons, segmentation)

  • Experience building quality systems (sampling, audits, calibration sessions, disagreement resolution)

  • Exposure to content safety labeling or trust & safety workflows

Compensation

  • Competitive hourly base pay: $30–$50 per hour

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