Remote Robotics Data Research Engineer

HUD; San Francisco (CA); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Blue Shield medical, dental, vision

Lunch and dinner in office

Company-wide holiday break

Equinox membership

401k

Commuter benefits

Unlimited access to AI tokens

Job summary

Qualifications

• Experience in robotics, robot learning, embodied AI, or closely related multimodal research.
• Proficiency in Python and experience building data processing, analysis, or evaluation tools.
• Experience turning research questions into dataset specifications, experiments, and measurable quality criteria.
• Strong understanding of what makes robotics data useful for training or evaluation—and where it can be misleading.
• Attention to detail and the ability to spot subtle errors, coverage gaps, and failure modes in complex data.
• Experience building research tools or pipelines without a fully prescribed roadmap.

Responsibilities

• Research the data needs of robot learning and physical AI systems, and turn them into concrete dataset and evaluation specifications
• Define data schemas, annotations, ground truth, and quality standards across robotics data types
• Design collection and review protocols that external data providers can execute reliably
• Build tools and validation workflows to audit datasets, identify quality issues, and give providers actionable feedback
• Run experiments and analyze model behavior to understand how data quality, coverage, and structure affect performance
• Work with HUD’s research and engineering teams, and when needed with data vendors and buyers, to improve robotics data offerings

Skills

Robotics research

Python

Data processing

Experiment design

Data schemas

Quality assurance

Tools

Python

Job description