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.

📌 AI Data Quality Systems Lead (London)
🏢 Sokoni Kwetu
📍 London