• Coordinate high-priority GenAI operations and data annotation projects, partnering with product managers, cross-functional engineering teams (XFNs), and vendors to define project scope, validate input datasets, and ensure AI training data quality for machine learning model development.

• Implement quality assurance protocols for AI training data, including spot checks, rater calibration sessions, guideline enforcement, and feedback loops, improving dataset consistency and model training reliability.

• Manage data ingestion workflows, including dataset cleansing, preprocessing, and preparation for internal machine learning tooling, ensuring readiness for AI model training pipelines.

• Lead end-to-end coordination of AI training and model evaluation projects, managing communications, task execution, and deliverables across distributed teams contributing to LLM training, prompt engineering, and reinforcement learning from human feedback (RLHF) programs.

• Oversee annotation quality assurance and expert task validation, auditing contributor submissions, identifying guideline deviations, enforcing rubric compliance, and delivering structured feedback to improve dataset accuracy, model performance, and training data reliability.

• Manage expert sourcing and workforce pipelines by reviewing candidate submissions, verifying credentials, screening for technical fit, and onboarding qualified contributors, strengthening project readiness and scaling expert capacity for AI data operations.

• Perform AI data annotation and model evaluation tasks, including audio transcription, dense video captioning, prompt evaluation, rubric creation and output grading, maintaining 98% quality accuracy and earning promotion to reviewer roles across multiple AI training projects.

• Follow precise directions to ensure high quality data annotation.

• Successfully deliver project deliverables under tight deadlines by effectively managing high-volume tasks and maintaining focus on project objectives.

• Led and managed a virtual Help Desk, providing live support and guidance to project teams on onboarding, tooling, task management, and project-related questions.

• Leveraged apps such as Airtable, Google Workspace and Loom to stay organized, create learning materials, schedules and track tickets to completion.

• Served as a primary point of contact for project queries, delivering timely, efficient, and friendly support via Slack and Zoom to ensure seamless project operations.