Data Collection Quality Support - Pilot Support Team

Figure AI
San Jose, CA
On-siteCareer-pivot friendly

Who this role is best for

Geared toward detail-oriented candidates comfortable with reviewing data collection sessions and collaborating with AI and pilot teams.

Best fit for

  • Candidates with experience in QA or data review within tech or robotics environments
    — “Experience in QA, data review, or operations in a tech or robotics environment”
  • Individuals who can balance analytical rigor with cross-functional collaboration
    — “Collaborate with the AI and pilot teams to refine quality criteria over time”
  • Candidates who thrive in fast-paced environments and can prioritize multiple tasks
    — “Patient, quality-focused mindset with the ability to juggle multiple assignments”

Things to consider

  • This is a fixed-term role with a specific six-month duration, potentially extendable based on performance
    — “This is a six-month fixed-term agreement, with potential for longer-term opportunities”
  • Compensation varies based on individual factors, including experience and skills
    — “The pay offered for this position may vary based on several individual factors”

How to stand out

  • Highlight your ability to identify systemic issues in data collection workflows
    — “Track quality trends across shifts and flag systemic issues early”
  • Emphasize your track record of producing clear, actionable reports
    — “Produce qualitative assessment reports for team leaders to deliver to the pilot team”
  • Demonstrate your adaptability in learning and using new software tools quickly
    — “Comfortable navigating computer-based tools and quickly learning new software”
  • Showcase your experience in identifying edge-case scenarios and inconsistencies
    — “Identify and document issues including technique inconsistencies, incomplete sequences, and edge-case scenarios”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved data quality
  • enhanced pilot performance
Typical background
QA experiencedata review

Skills & requirements

Required

Data ReviewQuality AssuranceReport GenerationCollaboration

Preferred

RoboticsAI

About the role

Original posting from Figure AI via Greenhouse

Figure is an AI robotics company developing 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. Figure is headquartered in San Jose, CA.

Figure is an AI robotics company developing 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. Figure is headquartered in San Jose, CA.

We are looking for a Data Collection Quality Support specialist to help us maintain the standard of data our pilots collect. You will review data collection sessions, identify quality issues, and produce assessment reports that give team leaders clear, actionable insight into pilot performance. Your work directly shapes how the AI team trains our robots.

Responsibilities:

Review data collection sessions against established quality standards

Identify and document issues including technique inconsistencies, incomplete sequences, and edge-case scenarios

Produce qualitative assessment reports for team leaders to deliver to the pilot team

Collaborate with the AI and pilot teams to refine quality criteria over time

Track quality trends across shifts and flag systemic issues early

Maintain high throughput and consistent evaluation quality across large review batches

Contribute feedback on workflow improvements and tool enhancements

Requirements:

Strong attention to detail and ability to apply consistent evaluation logic across diverse scenarios

Clear written and verbal communication skills

Comfortable navigating computer-based tools and quickly learning new software

Patient, quality-focused mindset with the ability to juggle multiple assignments

Reliable, self-motivated work style and a collaborative spirit within a fast-paced environment

Bonus Qualifications:

Experience in QA, data review, or operations in a tech or robotics environment

Familiarity with video or motion data

A passion for helping scale the deployment of learning humanoid robots

This is a six-month fixed-term agreement, with potential for longer-term opportunities depending on your contributions and interests.

The US base salary range for this full-time position starts at $32/hr for day shift, $34/hr for night shift.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and 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.

Source: Figure AI careers (Greenhouse)

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