
Remote VP of Robotics Research — Applied Systems & Research
ActiveHired is expanding its remote specialist bench with a Remote VP of Robotics Research — Applied Systems & Research at $1,200,000 - $6,000,000/year. Contributors work asynchronously from home across major English-speaking countries, translating real-world workflows in Robotics Software, Robotics Data, Robotics Research into high-signal training examples and multi-step evaluation criteria for enterprise AI models.
Primary Responsibilities
- Set the Physical AI research agenda. Identify the highest-leverage problems across robotics, embodied agents, learning, data, evaluation, and physical-world automation.
- Build agents that act in the physical world. Develop systems that connect foundation models and agents to robots, machines, instruments, and other physical interfaces.
- Advance general-purpose robot learning. Lead research across vision-language-action models, imitation learning, reinforcement learning, world models, and multimodal policies.
- Develop a science of physical-world data. Study which demonstrations, trajectories, sensor streams, environments, and supervision signals best improve learning and generalization.
- Build scalable data-generation systems. Develop methods for generating high-quality interaction data through human demonstration, teleoperation, autonomous rollout, simulation, and hybrid human–agent workflows.
- Advance evaluation and generalization. Build rigorous benchmarks for manipulation, spatial reasoning, planning, tool use, robustness, safety, and transfer across tasks and embodiments.
- Bridge simulation and reality. Study how simulated and real-world experience should be combined and where sim-to-real transfer breaks down.
Skills & Experience Needed
- Master’s or PhD in Robotics, Computer Science, AI, Machine Learning, Engineering, or a related field.
- Research experience at a leading AI, robotics, or embodied intelligence organization.
- Strong publication record at venues such as CoRL, RSS, ICRA, IROS, NeurIPS, ICML, or CVPR, or equivalent high-impact technical work.
- Practical background using generalist robot policies, cross-embodiment learning, robot foundation models, or large-scale imitation and reinforcement learning.
- Hands-on experience with robotic platforms and frameworks such as ROS/ROS2, Isaac Lab, MuJoCo, ManiSkill, or equivalent systems.
- Experience building robotics benchmarks, simulation environments, teleoperation systems, safety evaluations, or physical-world data engines.
- Experience building agents for engineering, scientific, manufacturing, or laboratory workflows.
Remuneration & Remote Setup
- Compensation Rate: $1,200,000 - $6,000,000/year (contract specialist remuneration)
- Work Arrangement: 100% Remote / Work From Home
- Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
- Core Competencies: Robotics Software, Robotics Data, Robotics Research
- Hiring Agency: ActiveHired
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