Remote Data Annotator 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 tot his job Apply To this Job .