Remote Data Labeling in Miami

Overview reputed company 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. What You Will Do 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 Requirements 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, escalate conflicts, and incorporate reviewer feedback Work Arrangement Remote (US). Miami is included as a location modifier to help local candidates find fully remote opportunities. Employment Type: Full-time Compensation: $30$50 per hour Apply tot his job Apply To this Job .