Job Description

Responsibilities

Strategic Leadership:

- Drive development, refinement, and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
- Establish comprehensive quality metrics (e.g., F1 score, inter-annotator agreement) aligned with business objectives and industry standards.
- Continuously review and improve annotation workflows to identify risks, enhance efficiency, and reduce errors.
- Serve as the subject matter expert on annotation quality; provide ongoing feedback, training, and support to annotators and project teams.

Analysis & Reporting:

- Lead in-depth data analysis to diagnose quality issues, evaluate quality strategies, and identify root causes of recurring errors.
- Develop and maintain dashboards providing real-time insights on quality metrics and project performance.




- Prepare and present strategic quality reports to senior management and clients, highlighting trends, risks, and improvement plans.
- Collaborate with operational management, engineering, and client services to align on project goals and quality initiatives.

Operational Leadership:

- Lead and mentor a team of Data Quality Analysts, fostering a culture of continuous improvement and accountability.
- Manage configuration and integration of annotation and quality control tools (e.g., Labelbox, Dataloop, Label Studio), ensuring optimal performance.
- Identify and implement cutting-edge quality control tools and automation technologies to streamline workflows and improve efficiency.

📌 AI Data Quality (Gurugram)
🏢 CAPTALENT HR
📍 Gurugram