Project Coordinator, Data Quality

• Figure is an AI Robotics company autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. We are based in North San Jose, CA and require 5 days/week in-office collaboration. It’s time to build.
• Figure AI is building the data foundation that powers our humanoid robots. The Data Quality team owns the standards, guidelines
• audit infrastructure that ensure our training data meets the bar our AI systems require.
• As a Project Coordinator, you'll own a full project lifecycle within Data Quality — from defining review guidelines to running audit cycles to managing the analysts and vendors who execute the work. You'll be the primary point of contact between project-level execution and engineering, translating data quality requirements into guidelines a review team can act on
• feeding audit findings back into how the team works

Responsibilities

• Own review guidelines and acceptance criteria for your project; handle escalated edge cases that fall outside existing guidance.
• Contribute to golden set construction for your project type.
• Run project-level audit cycles and feed findings directly back into guideline updates.
• Coordinate analysts across projects within your scope.
• Write and maintain project-level SOPs; update them through post-project retros.
• Manage direct reports where applicable, including structured performance reviews.
• Design project-specific training materials and calibration exercises.
• Serve as the primary contact for project-level vendor coordination, including communicating SLA expectations.
• Translate quality requirements into actionable review guidelines; act as first point of contact for project-level clarifications

Requirements

• 4+ years of experience in data quality, data labeling operations, or content/data review roles, with demonstrated ownership of a project or workstream end-to-end.
• Experience writing review guidelines, acceptance criteria, or SOPs that other people executed against.
• Experience running audit or QA cycles and translating findings into process or guideline changes.
• Comfort working directly with engineering or ML stakeholders to translate technical requirements into operational guidance.
• Experience managing vendor relationships, including SLA communication.
• People management experience, or readiness to take on direct reports.
• Bonus Qualifications :
• Experience with golden set / ground truth construction.
• Background in robotics, autonomous systems, LLM or physical AI data.
• Experience designing training or calibration programs for review teams.
• The US base salary range for this full-time position is between $35 - $40 / hour.
• The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills
• experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.