AI Transcription Reviewer at Crowdgen (data labeling and AI output evaluation)
Performed detailed quality assessments of AI-generated transcriptions to evaluate accuracy and completeness against provided guidelines. Evaluated and labeled machine learning data from enterprise clients by following complex annotation instructions and quality check rules. Completed verification tasks within strict SLA deadlines and documented findings for continuous quality improvement. • Assessed transcription outputs for anomalies, inconsistencies, and output quality issues • Conducted post-process audits and wrote detailed error reports • Collaborated with Engineering and Product teams to resolve technical issues and meet weekly quality goals • Followed varied detection instructions to support fraud/anomaly identification in model outputs