Role Details
Estimated based on role seniority, company stage (Series B), and industry benchmarks. Actual compensation may vary.
How is this calculated?
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
Job Description
About 1X
We build humanoid robots that work alongside people to solve labor shortages.
The Role
You bridge AI research priorities with real-world data collection operations. You translate model needs into executable floor plans, navigate operational constraints, enforce rigorous quality standards, and shape the data strategy that scales from today’s studio to tomorrow’s customer fleet.
Responsibilities
Lead and manage a team of data operations and QA specialists
Align daily collection tasks with current training priorities
Triage failures with researchers and update floor plans same-day
Create, maintain, and continuously refine clear, concise documentation and SOPs; drive rollout and ensure adoption across data ops and research teams
Own 4–6 quarter data roadmap: studio scale-up, environment diversity, QA automation, transition to hybrid internal + customer data
Inspect, visualize, annotate, and reject episodes daily to set and maintain quality bar
Develop processes and tooling for <48h research ops feedback loop
Prevent garbage data from entering training
Ensure research intent aligns with real-world signals
About 1X
Building general-purpose humanoid robots designed to work alongside people in everyday environments.
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