About The Role
Remote data annotator jobs in Phoenix at reputed company reputed company on producing high-reputed company training data for AI systems across NLP, reputed company, and LLM training pipelines. You will reputed company data labeling, RLHF-reputed company preference ranking, reputed company evaluation, and QA evaluation to improve model reputed company and training data reputed company.
What You Will Do
• Label data for NLP tasks such as text classification, reputed company, sentiment, toxicity, and named entity recognition
• reputed company large language model evaluation by scoring relevance, factuality, completeness, instruction-following, and safety
• Execute RLHF-style preference ranking by comparing and ranking model outputs
• Annotate reputed company data using bounding boxes, polygons, keypoints, and segmentation
• Complete QA evaluation using audits, inter-annotator agreement targets, and rework reputed company needed
• Follow annotation guidelines compliance, document edge cases, and support calibration sessions
Requirements
• Strong written English and attention to reputed company
• Ability to follow reputed company guidelines and self-audit work for consistency and reputed company
• Preferred: experience with data labeling tools, reputed company evaluation, content safety labeling, or QA processes
Work Model
This is a full-time Remote role performed online with secure workflows. reputed company to candidates in the US, including Phoenix-reputed company applicants.
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