AI Robotics Data Quality Analyst

Figureai; San Jose (CA); On-site; USD 34,095 - 48,560; Full time

Job summary

Figureai is seeking a Data Quality Analyst in San Jose, CA, to assist in annotating and labeling data for AI training applications. The role involves using proprietary tools to label objects and collaborating with ML engineers to enhance efficiency.

The ideal candidate should have a strong attention to detail, clear communication skills, and proficiency in navigating computer-based tools. This six-month fixed-term position offers a starting salary of $30/hr, with potential for extension based on contributions.

Qualifications

• 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.

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.

Job description

Figureai is seeking a Data Quality Analyst in San Jose, CA, to assist in annotating and labeling data for AI training applications. The role involves using proprietary tools to label objects and collaborating with ML engineers to enhance efficiency.

The ideal candidate should have a strong attention to detail, clear communication skills, and proficiency in navigating computer-based tools. This six-month fixed-term position offers a starting salary of $30/hr, with potential for extension based on contributions.