Remote Data Labeling Miami

Rex.zone is hiring for full-time remote data labeling roles (Miami talent welcome) focused on producing high-quality training data for AI/ML systems, including LLM evaluation and RLHF workflows.

• Label and evaluate text and chat data for large language model evaluation, including preference ranking and rubric-based grading
• Perform named entity recognition (NER) and other NLP annotation tasks (classification, summarization, sentiment/toxicity)
• Annotate images/video for computer vision annotation (bounding boxes, polygons, keypoints, attribute tagging)
• Complete content safety labeling for moderation categories (hate, harassment, self-harm, sexual content, violence)
• Run QA evaluation checks, flag ambiguous items, and suggest guideline clarifications to improve consistency and training data quality
• Contribute to RLHF by producing high-signal comparisons and clear rationales

• Mid-to-senior experience in data labeling/data annotation, QA evaluation, or trust & safety operations
• Strong English comprehension and high attention to detail for rubric-based judgments
• Ability to follow detailed annotation guidelines compliance standards and maintain consistency
• Comfort using web-based labeling tools, review dashboards, and spreadsheets
• Ability to document edge cases, elevate conflicts, and incorporate reviewer feedback

Remote (US). Miami is included as a location modifier to help local candidates find fully remote opportunities.

Full-time

$30-50 per hour