AI Data Annotator — Appen by CrowdGen (Remote)
Provided structured evaluation feedback on AI model outputs to identify specific failure modes across tasks. Applied quality criteria to detect edge cases and inconsistencies that general review could miss. Worked independently across concurrent projects while maintaining accuracy and supporting remote team coordination. • Evaluated outputs across multiple modalities (structured feedback) • Defined and applied quality checks for edge cases and inconsistencies • Ensured accuracy without direct supervision across concurrent workstreams • Coordinated with distributed teams to meet deadlines and quality benchmarks