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Data Quality & Annotation Lead

Nimble Robotics

San Francisco, USA

Full-time

Mid · 3+ years experience

Onsite

USD 100000-120000 yearly / year

Discovered 2 weeks ago

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Responsibilities

Own episode acceptance criteria for every task family — translate research and engineering data needs into operational, auditable standards, and version them as model training needs evolve.
Take over the annotation and episode-review queue in your first weeks, then build the team and workflows that scale it far beyond yourself.
Stand up and manage a remote annotation team (likely Philippines-based; direct hires or vendor/BPO) with an overnight turnaround SLA — episodes collected today are reviewed and scored before the next shift starts.
Design and run a sampling-based QA audit program with explicit coverage targets, including inter-rater reliability checks that keep annotators and auditors calibrated.
Run the operator quality feedback loop: operator-level quality scorecards delivered to site supervisors within 24 hours. You own the standard and the signal; supervisors own the coaching and people decisions.
Instrument your function: define the quality metrics (episode acceptance rate, audit coverage, feedback latency, operator quality distribution, annotation throughput) and build the operational dashboards your team runs on, partnering with our analytics function, which independently owns org-wide reporting.
Own the certification bar for new operator onboarding — no one collects production data without meeting it — while site teams run the day-to-day training reps.
Drive a standing weekly loop with research and engineering on failure modes, task-spec drift, and what "good" needs to mean next.

Qualifications

3+ years in data operations, annotation/labeling operations, or data collection QA for ML systems — robotics, autonomy, or teleoperation data strongly preferred.
A track record of building quality standards from scratch — rubrics, SOPs, QC workflows — not just executing against existing ones. Be ready to walk us through one you built.
Experience managing annotation or review teams, including remote/offshore or vendor/BPO teams, and driving their performance against SLAs.

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Data Quality & Annotation Lead

Job Fit Check

Key Skills for This Role

Full Job Posting

Responsibilities

Qualifications

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