Data Annotation Lead

We're looking for a Data Annotation Lead to own annotation operations and scale the team behind it. Annotation is core to how our models improve, and demand is growing fast. You will scale the annotation workforce from 100s to 1,000s while raising the quality bar — designing the org, the training pipeline, the quality system, and the metrics that let it scale efficiently.

You will own the people and the operation: throughput, quality, cost, and delivery across every annotation type.

Own annotation operations end-to-end: throughput, quality, cost, and on-time delivery across all annotation types.

Scale the annotation workforce from 100s to 1,000s: workforce planning, org design, and the hiring and onboarding funnel.

Build and lead a multi-layer management structure; hire, develop, and manage managers and team leads.

Scale throughput with autolabeling and model-based annotation: design human-in-the-loop workflows where models pre-label and annotators review, correct, and escalate, so output grows faster than headcount.

Stand up the training and certification pipeline that brings new annotators and teams to the quality bar quickly and consistently.

Define and continuously raise the quality bar: rubrics, calibration, audit/QA loops, and quality-adjusted productivity.

Establish operational metrics and reporting (presence, throughput, acceptance/rejection, rework) and drive week-over-week improvement.

Run capacity planning and prioritization against competing demand; allocate teams to the highest-impact work.

Manage performance at scale with clear standards, feedback, and a fair improvement/exit process.

Partner with product and engineering to define annotation tooling that unlocks throughput and quality.

Partner with research and project leads to translate annotation needs into clear instructions, rubrics, and SLAs.

Own the in-house vs. vendor mix and manage external partners where used.