Remote Data Annotator Jobs in Charlotte
Remote Data Annotator Jobs in Charlotte (US Remote)
Join Rex.zone to create high-quality training data for real-world AI/ML and LLM training pipelines. You will label, rate, and review text, image, and multimodal content while following strict annotation guidelines and contributing to training data quality improvements.
Key Responsibilities
- Deliver accurate data annotation and data labeling across NLP and multimodal datasets
- Execute RLHF workflows including preference ranking, rubric-based scoring, and rationales
- Perform prompt evaluation and response grading for safety, factuality, and instruction-following
- Conduct QA evaluation by auditing samples, identifying recurring errors, and escalating guideline gaps
- Maintain annotation guidelines compliance and document edge cases clearly
What You Will Annotate
- NLP labeling: classification, intent, sentiment, toxicity, summarization quality, named entity recognition
- LLM evaluation: prompt evaluation, RLHF preference ranking, helpfulness/truthfulness/safety rubric scoring
- Computer vision annotation (project-dependent): bounding boxes, polygons, attributes, image QA
- Content safety labeling: policy-based categorization for sensitive or regulated content
Required Qualifications
- Mid-Senior experience in data annotation, data labeling, QA evaluation, or AI data operations
- Strong written reasoning skills using rubrics and annotation guidelines
- Familiarity with RLHF concepts and large language model evaluation methods
- Comfort working independently in a remote, high-throughput environment
How To Apply
Apply through Rex.zone by submitting your resume and completing any guideline-based assessment required for prompt evaluation, RLHF, or QA evaluation tasks.
