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