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dataroles

Data Quality Analyst

Figure figure.ai Open
San Jose Mid-level Data Architecture & Governance

At a glance

Mid-level Data Architecture & Governance role at Figure. San Jose · no salary stated · we estimate $99,650–$155,000 across the United States.

Estimated pay

Figure has not published a salary for this role. The figure below is our estimate, not theirs.

$99,650 – $155,000
What the middle half of mid-level data architecture & governance roles in the United States paid, among postings that did state a salary.
Worked out from 357 postings that stated pay, median $125,625. Last updated Nov 13, 2026.
RoleData Architecture & Governance
SeniorityMid-level
LocationSan Jose
PostedSep 5, 2025
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Label objects, poses and interactions in robot images and video using the annotation software
  • Work with ML engineers to sharpen labeling rules and make the annotation interface easier to use
  • Send unclear or unusual cases to the ML team for review
  • Keep large batches moving at a steady pace while maintaining accuracy and suggesting workflow or tool changes

What you bring

  • You communicate clearly in English, both in writing and conversation
  • You notice small details and apply consistent judgment across varied examples
  • You handle computer tools comfortably and learn unfamiliar software quickly

Who this fits

This role suits someone patient and quality-minded who can balance assignments and work reliably with others. The shift runs from 1:00pm to 9:30pm. The position is a six-month fixed-term agreement, with the possibility of continuing based on your work and interests.

From the employer

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 Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications. The schedule for this role with be from 1:00pm-9:30pm. Responsibilities:
  • Use proprietary annotation tools to label objects, poses, and interactions in images and video streams from our humanoid robots.

  • Collaborate with ML engineers to refine labeling guidelines and improve interface efficiency.

  • Identify and flag ambiguous or edge-case scenarios for review by the ML team.

  • Maintain high throughput and consistent quality across large annotation batches.

  • Contribute feedback on workflow improvements and tool enhancements.

Requirements:

  • Strong attention to detail and the ability to apply consistent logic across diverse scenarios.

  • Comfortable navigating computer-based tools and quickly learning new software.

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

  • Clear written and verbal communication skills.

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

  • Fluency in English required.

This is a six-month fixed-term agreement, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us.

The US base pay range for this full-time position is $30.00 per hour

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.
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Architecture & Governance

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Architecture & Governance work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.