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