What are the responsibilities and job description for the Remote Data Annotator Jobs in Phoenix position at Rex.zone?
About The Role
Remote data annotator jobs in Phoenix at Rex.zone focus on producing high-quality training data for AI systems across NLP, computer vision, and LLM training pipelines. You will perform data labeling, RLHF-based preference ranking, prompt evaluation, and QA evaluation to improve model performance and training data quality.
What You Will Do
This is a full-time Remote role performed online with secure workflows. Open to candidates in the US, including Phoenix-based applicants.
Remote data annotator jobs in Phoenix at Rex.zone focus on producing high-quality training data for AI systems across NLP, computer vision, and LLM training pipelines. You will perform data labeling, RLHF-based preference ranking, prompt evaluation, and QA evaluation to improve model performance and training data quality.
What You Will Do
- Label data for NLP tasks such as text classification, intent, sentiment, toxicity, and named entity recognition
- Perform 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 computer vision data using bounding boxes, polygons, keypoints, and segmentation
- Complete QA evaluation using audits, inter-annotator agreement targets, and rework when needed
- Follow annotation guidelines compliance, document edge cases, and support calibration sessions
- Strong written English and attention to detail
- Ability to follow complex guidelines and self-audit work for consistency and accuracy
- Preferred: experience with data labeling tools, prompt evaluation, content safety labeling, or QA processes
This is a full-time Remote role performed online with secure workflows. Open to candidates in the US, including Phoenix-based applicants.
Salary : $30 - $50