• Designed and delivered training programs for data annotators, ensuring high-quality data labeling for machine learning projects.• Developed training materials, including guidelines and best practices, to improve annotator efficiency and consistency.• Conducted training sessions and provided feedback to enhance performance and adherence to project requirements.• Monitored annotation quality, identifying areas for improvement and implementing corrective actions to meet deadlines and accuracy standards.

• Accurately labeled and annotated data for machine learning models, ensuring high-quality input.• Followed detailed guidelines and project requirements to maintain consistency and precision.• Reviewed and corrected annotations to meet quality standards.• Collaborated with teams to improve annotation processes and workflows.• Contributed to the training of new annotators.

• Evaluated AI-generated responses for accuracy, relevance, and clarity in alignment with project requirements.• Developed guidelines and metrics for assessing AI performance and response quality.• Provided detailed feedback to improve AI model outputs and ensure consistency.• Collaborated with teams to refine AI models based on assessment insights.