Shanique Smith

Led QA processes across multiple AI training workflows, ensuring accuracy, consistency, and adherence to project guidelines. Reviewed 25–30% of contributor outputs to evaluate reasoning quality, correctness, and alignment with task requirements. Conducted calibration sessions to maintain scoring consistency across evaluators. Analyzed QA trends and recurring errors to inform training updates and workflow improvements. Delivered structured coaching and feedback to improve contributor performance and data quality.

Supervised and coached over 100 direct and indirect contributors across AI training projects. Monitored performance metrics, resolved escalations, and ensured quality standards were consistently met. Supported onboarding and skill development through clear guidance, documentation, and feedback loops. Acted as a liaison between contributors and operations to maintain alignment on expectations and goals.

Evaluated up to 30% of contributor submissions to ensure compliance with quality standards and client guidelines. Trained and onboarded new QC team members, strengthening evaluation consistency and accuracy. Documented quality findings and contributed to SOP improvements. Supported continuous improvement by identifying common errors and improvement opportunities.