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
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Design and execute annotation and evaluation workflows for NLP, computer vision, and multimodal tasks
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Implement RLHF and prompt evaluation protocols using well-defined rubrics and calibration
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Define and enforce annotation guidelines compliance; maintain edge-case documentation
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Run QA evaluation audits, spot checks, inter-annotator agreement analysis, and error taxonomy tracking
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Curate datasets for named entity recognition, classification, ranking, summarization, and safety policy adherence
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Use Python and data tooling to automate checks, sampling plans, reporting, and quality metrics
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Required Qualifications
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Mid-senior STEM/engineering background (CS, EE, math, physics, statistics, or related)
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Strong Python skills; comfort with structured and unstructured data
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Practical understanding of LLM evaluation, data labeling, and QA evaluation concepts
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Experience with NLP tasks (e.g., NER, text classification, relevance ranking, summarization)
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Ability to interpret guidelines, resolve ambiguity, and communicate asynchronously in a remote setting
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Preferred Qualifications
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Experience with RLHF pipelines, preference ranking, or rubric-based evaluation
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Familiarity with computer vision annotation (bounding boxes, polygons, segmentation)
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Experience building quality systems (sampling, audits, calibration sessions, disagreement resolution)
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Exposure to content safety labeling or trust & safety workflows
Compensation
- Competitive hourly base pay: $30–$50 per hour