21 час назад
Data Collection Lab Manager (Shift Leader) (AI/Robotics)
40 - 50$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Collection Lab Manager (Shift Leader) (AI/Robotics): Leading on-site data collection lab operations, teams, quality systems, inventory, and hardware supporting embodied AI and robotics model development with an accent on operational reliability, data quality, and scalable processes. Focus on managing shift execution, improving QA and reporting systems, resolving bottlenecks, and developing staff in a hands-on lab environment.
Location: On-site in Boston (Somerville), United States
Compensation: $40–$50
Company
develops embodied foundation models for dexterous general-purpose robots, combining AI, robotics, data, and hardware.
What you will do
- Own and improve day-to-day DataLab operations and ensure reliable, high-quality data delivery.
- Lead task rollout and retirement scheduling based on organizational priorities.
- Establish QA processes, investigate data issues, and improve operational quality.
- Identify bottlenecks and build scalable systems, trackers, reporting cadences, and documentation.
- Oversee devices, hardware, inventory, data custody, tracking, and reporting.
- Recruit, onboard, coach, and manage data collection staff and lab leads.
Requirements
- 5+ years of experience in high-performance operational environments with significant ownership and accountability.
- Experience managing teams in fast-moving or semi-structured organizations.
- Strong operational judgment, attention to detail, communication, interpersonal, and people leadership skills.
- Experience building processes and improving systems in ambiguous environments.
- Ability to use metrics, operational reporting, and process tracking to drive decisions.
- Comfort working in an on-site laboratory environment in Boston (Somerville).
Nice to have
- Experience managing physical operations, labs, logistics, or production environments.
- Experience with QA or operational quality systems.
- Startup experience.
- Familiarity with AI/ML data operations or human-in-the-loop workflows.
Culture & Benefits
- Hands-on operational role centered on ownership, reliability, accountability, and continuous improvement.
- Work alongside researchers, roboticists, and company builders from frontier AI and robotics organizations.
- Equal opportunity workplace.
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