AI Data Reviewer & Evaluation Specialist (Remote)
Evaluated AI-generated outputs for accuracy, consistency, instruction adherence, and reasoning quality using rubric-based review guidelines and scoring frameworks. Identified subtle errors, inconsistencies, factual inaccuracies, and edge cases requiring escalation to support improved AI training and evaluation processes. Maintained high quality and consistency across repetitive large-scale review assignments while collaborating to resolve ambiguous evaluation scenarios. • Applied detailed review rubrics and guideline adherence checks • Performed human feedback assessment on model responses and rankings • Escalated nuanced issues and anomalies that affected training quality • Delivered structured written feedback to stakeholders and reviewers