Rex.zone is hiring for Senior Data Labeling roles supporting AI/ML training workflows end to end, including data labeling, RLHF, prompt evaluation, QA evaluation, and training data quality audits for large language model evaluation and computer vision annotation. This is a full time, remote opportunity aligned with Ottawa talent.
What You Will Do
- Execute senior-level data labeling across text, image, and multimodal tasks with consistent decision-making and high accuracy
- Perform RLHF-style preference labeling/ranking using rubric-based guidelines
- Run prompt evaluation and QA evaluation to identify failure modes and policy gaps
- Audit training data quality via sampling, error categorization, and root-cause analysis
- Ensure annotation guidelines compliance; propose clarifications and edge-case examples
- Support NER/span labeling and content safety labeling as needed
- Resolve disagreements, calibrate annotators,
and stabilize inter-annotator agreement
- Document decisions and acceptance criteria for downstream model training teams
Core Workflows
- Gold set creation, consensus labeling, disagreement analysis