Data Quality Analyst

Figure AI

San Jose, CA

On-siteCareer-pivot friendly

Who this role is best for

Best suited to detail-oriented individuals working in AI robotics and data annotation, with a focus on collaborative and consistent work practices in a US-based setting.

Best fit for

Detail-oriented individuals with experience in AI training data annotation and a collaborative mindset for refining tools with ML engineers.
— “Use proprietary annotation tools to label objects, poses, and interactions in images and video streams”
Candidates who thrive in fast-paced environments and can balance multiple tasks while maintaining quality.
— “Patient, quality-focused mindset with the ability to juggle multiple assignments”
People with strong communication skills and the ability to provide constructive feedback on workflow and tool improvements.
— “Clear written and verbal communication skills”

Things to consider

The role involves a non-traditional schedule from 1:00pm-9:30pm, which may impact work-life balance.
— “The schedule for this role will be from 1:00pm-9:30pm”
This is a fixed-term position with a potential for extension based on performance.
— “This is a six-month fixed-term agreement, with potential for longer-term opportunities”

How to stand out

Emphasize your ability to provide actionable feedback on improving annotation workflows.
— “Contribute feedback on workflow improvements and tool enhancements”
Demonstrate your capability to handle ambiguous scenarios and flag them for review with precision.
— “Identify and flag ambiguous or edge-case scenarios for review by the ML team”

Pace · SteadyCollaboration · MediumAutonomy · MediumDecision Impact · Individual

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

What success looks like

Label objects, poses, and interactions in images and video streams
Collaborate with ML engineers to refine labeling guidelines
Maintain high throughput and consistent quality across large annotation batches

Typical background

Strong attention to detail and the ability to apply consistent logic across diverse scenariosComfortable navigating computer-based tools and quickly learning new software

Skills & requirements

Required

Data AnnotationImage And Video LabelingML Engineering CollaborationQuality ControlWorkflow ImprovementTool Enhancement

Preferred

AI RoboticsHumanoid Robots

Stack & domain

Annotation ToolsLabeling GuidelinesWorkflow ImprovementsTool EnhancementsML EngineeringComputer-based ToolsAttention To DetailCommunicationSelf-motivationCollaborationAI Training ApplicationsHumanoid Robots

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.
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.

Source: Figure AI careers (Greenhouse)