Direct experience scaling data pipelines for robotics
Demonstrated ability to close strategic hardware partnerships
Toloka AI is seeking a VP of Physical AI to lead the design and development of generative AI solutions. The ideal candidate will have deep technical expertise in AI/ML, experience in building functions from early stages, and a strong understanding of the robotics ecosystem
Job Summary
This role involves defining and executing the Physical AI data roadmap across egocentric capture, humanoid robotics, and autonomous vehicles while owning the P&L of the emerging business.
The successful candidate will lead operational labs, establish QA standards integrating with agentic LLM-QA verification, and scale capacity against commercial commitments.
Toloka offers a competitive compensation package including base salary, bonus, ESOP, and full remote or hybrid work models depending on location.
Matching Summary
Match Score: 85
Toloka AI is seeking a VP of Physical AI to lead the design and development of generative AI solutions. The ideal candidate will have deep technical expertise in AI/ML, experience in building functions from early stages, and a strong understanding of the robotics ecosystem.
Salary
Base: Competitive; Bonus/Equity: Bonus and ESOP included; Benefits: Paid PTO and home office allowances vary by location
Skills & Requirements
Must-have
Track record building functions from early stage
Direct experience scaling data pipelines for robotics
Demonstrated ability to close strategic hardware partnerships
Familiarity with robotics sensors and embodied data constraints
Commercial fluency in scoping and negotiating complex engagements
Nice-to-have
Experience with egocentric or wearable data capture
Familiarity with RLHF/RLVR human feedback pipelines
Active relationships with key Physical AI labs
Background in data services or annotation platforms
Ties to academic robotics programs like CMU or MIT
Key Requirements
Proven leadership in early-stage function building
Deep technical expertise in physical AI and robotics data
Strong network within robotics hardware and research ecosystems