Entry Level STEM

Entry Level STEM Jobs United States (Remote, US)

Support AI/ML engineering-adjacent workflows that improve LLM training pipelines through high‑quality data labeling, RLHF‑style evaluation, QA evaluation, and prompt evaluation. You will apply annotation guidelines compliance and structured documentation to strengthen training data quality and model performance.

• Execute data labeling across text, image, and multimodal datasets
• Perform QA evaluation using sampling plans, disagreement analysis, and error taxonomies
• Complete RLHF preference ranking and prompt evaluation aligned to rubrics
• Annotate NLP tasks (e.g., named entity recognition, intent classification) with consistent schemas
• Support computer vision annotation (bounding boxes, segmentation) as needed
• Apply content safety labeling policies for harmful or sensitive content
• Document edge cases and provide rationales to improve guidelines and training data quality
• Collaborate asynchronously with distributed engineering and ops partners

• US-based and available for remote, full-time work
• STEM background (degree, bootcamp, or equivalent experience) and quantitative reasoning
• Ability to learn and follow detailed annotation guidelines
• Strong written communication and attention to detail
• Familiarity with spreadsheets and basic Python or SQL for lightweight data checks

• Experience with LLM evaluation, RLHF, or prompt evaluation
• Exposure to NLP and/or computer vision annotation tools
• Understanding of content safety labeling and policy interpretation
• Experience with training data quality metrics or inter-annotator agreement

Hourly base pay range: $30–$50/hr
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Apply via Rex.zone and highlight STEM projects, Python/SQL, and any experience with data labeling, QA evaluation, RLHF, prompt evaluation, or annotation guidelines compliance.