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YC-backed startup, metro Bangalore location creates moderate competition despite niche data-ops specialization.
Role demands annotation workforce operations experience, making skills less transferable across unrelated industries.
No explicit years or certifications and domain experience preferred but not mandatory, implying low strictness.
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Lead and manage end-to-end data annotation operations for robotics data, ensuring quality, throughput, and workforce performance across multiple simultaneous projects.
Recruit, evaluate, and allocate annotators; build dashboards and operating systems to track performance metrics and meet project targets.
Forecast staffing needs, resolve operational issues, manage team leads, and scale processes from hundreds to thousands of annotators.
Work Experience Required: Not explicitly mentioned in the JD; experience at data operations companies like Surge AI, Scale AI, Mercor, Turing, Outlier, or Remotasks is a strong advantage.
On-site location: Bangalore.
Must be highly organized and capable of managing multiple projects and workforce teams simultaneously.
Strong analytical skills with comfort in metrics, dashboards, and operational data tracking.
Experienced in fast-moving, high-volume data annotation or workforce operations, preferably within startup environments or companies like Surge AI, Scale AI, etc.
Proven ability to manage frontline teams with ownership over quality, throughput, and resource allocation.
Strong operational leadership with skills in forecasting, process scaling, incentive design, and urgent issue resolution.