Data Quality Analyst
TLDR
Annotate and label AI training data for autonomous humanoid robots, emphasizing high-throughput, quality, and collaboration within a six-month fixed-term engagement.
We are looking for Data Quality Analyst to help us in our efforts to annotate and label our data for AI training applications.
- 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
- 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 salary range for this full-time position starts at $30/hr.
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.Figure is an AI robotics company creating autonomous humanoid robots tailored for a range of tasks in both commercial and home environments. By aiming to achieve human-level intelligence in its robots, Figure addresses pressing labor shortages and fills roles that are often considered undesirable or unsafe.