AI Data Quality Systems Lead

Lead AI data quality systems at Encord from London, combining Python, SQL, and automated evaluation with operational audit leadership.
As Quality Systems Lead, you will own quality measurement for human data across image, video, documents, medical, LLM, and robotics workflows. You will build evaluation pipelines, apply sampling and agreement statistics, and manage an India-based audit team. Your work will establish standards, ground truth, and native platform capabilities for Encord customers.

Key Responsibilities:

Build model-assisted and LLM-based dataset quality evaluation
Detect agreement issues, anomalies, drift, and root causes
Hire, train, calibrate, and manage around ten auditors
Define rubrics, golden sets, thresholds, and acceptance criteria
Report quality KPIs and manage quality unit economics
Requirements:
Four-plus years owning technical and operational quality outcomes
Hands-on Python and SQL development experience
Practical model-assisted QA or automated evaluation experience
Sampling methodology and agreement statistics applied to production data
Experience managing distributed audit, review, or QA teams
Bring Python, SQL, statistical judgement, and audit leadership to Encord’s AI data quality platform.