Idayat Omotola Olaoye

Led a team of 100 professionals delivering image, text, audio, and video annotation and validation for proprietary AI model development and evaluation. Trained annotators on project goals, labeling guidelines, edge cases, and quality-control measures for an internal LLM data-quality initiative.

Managed project workflows, delivery schedules, milestones, performance metrics, documentation, and SLA adherence across AI data projects. Developed training materials and facilitated knowledge-sharing sessions to improve annotation consistency and data quality.

Led and coordinated teams of up to 50 professionals delivering multimodal annotation and validation work for proprietary AI model development. Managed project milestones, schedules, staffing, Weekly Business Reviews, documentation, client communications, and delivery reporting.

Audited annotated inspection imagery for misclassification, missed defects, and inaccurate bounding-box alignment. Provided feedback and targeted coaching to reduce recurring labeling errors and improve data quality.

Monitored annotation pipelines and implemented quality-assurance processes for machine-learning datasets. Trained production teams of more than 100 agents before project launch and coached reviewers and junior quality analysts on audit procedures.

Annotated and categorized proprietary image, video, text, and audio datasets for machine-learning workflows. Applied labeling and tagging guidelines while contributing to data-pipeline quality and delivery targets.

Pursued a Bachelor of Science in Insurance, completing the program in January 2020.