Remote Data Annotator Jobs in Phoenix

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-based preference ranking, reputed company evaluation, and QA evaluation to improve model performance 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 detail • Ability to follow reputed company guidelines and self-audit work for consistency and accuracy • 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-based applicants. Apply To This Job