AI Trainer & Global Talent Acquisition (Flowmingo AI) — Review/evaluate AI tasks and annotate reasoning/evaluation details.
Reviewed and evaluated AI training tasks and scenarios for logical consistency, completeness, and realism. Defined expected agent behaviors as gold standards across diverse use cases. Annotated reasoning paths, cause–effect relationships, edge cases, and plausible alternative outcomes to improve evaluation quality. • Identify inconsistencies, missing assumptions, and unclear decision points in prompts, datasets, and evaluation materials. • Assess scenarios holistically to determine what is unrealistic, incomplete, or likely to fail. • Suggest refinements, edge-case coverage, and evaluation improvements in collaboration with QA and development teams. • Document findings in clear written English and support AI agent testing, scoring logic, and evaluation workflows.