What are the responsibilities and job description for the QA Data Specialist position at Foundation Robotics Labs Inc.?
About Us
Foundation is developing the future of general purpose robotics with the goal to address the labor shortage.
Our mission is to create advanced robots that can operate in complex environments, reducing human risk in conflict zones and enhancing efficiency in labor-intensive industries.
We are on the lookout for extraordinary engineers and scientists to join our team. Your previous experience in robotics isn't a prerequisite — it's your talent and determination that truly count.
We expect that many of our team members will bring diverse perspectives from various industries and fields. We are looking for individuals with a proven record of exceptional ability and a history of creating things that work.
All positions are based in San Francisco.
Our Culture
We like to be frank and honest about who we are, so that people can decide for themselves if this is a culture they resonate with. Please read more about our culture here https://foundation.bot/culture.
Who should join:
- You like working in person with a team in San Francisco.
- You want to work 7 days a week.
- You deeply believe that this is the most important mission for humanity and needs to happen yesterday.
- You are highly technical - regardless of the role you are in. We are building technology; you need to understand technology well.
- You care about aesthetics and design inside out. If it's not the best product ever, it bothers you, and you need to “fix” it.
- You don't need someone to motivate you; you get things done.
Why We Are Hiring for This Role:
- Pilot new data annotation workflows, give direct input on annotation tooling and assist in creation of labeling documentation
- Train and QA vendor data labeling output and track trends for labeling quality and throughput.
- Work with auto-labeling owners to ensure quality of labels is aligned with expectation and provide active feedback on areas of improvement.
- Provide feedback to both labelers and engineering teams on data labeling successes, bottlenecks and failures.
- Work with data collection process, tag and verify collected video. This will involve trimming video for relevance, adding keyframes and tags, and then assigning video to labeling workflows for vendors and auto-labeling.
What Kind of Person We Are Looking For:
- Attention to detail with a strong understanding of data labeling techniques and tools.
- Experience in working with computer vision datasets, particularly in robotics or AI contexts.
- Ability to follow detailed guidelines and maintain high levels of accuracy across large datasets.
- Familiarity with tools/platforms like Labelbox, CVAT, ScaleAI, or similar data annotation platforms.
- Bachelor’s degree in a related field (preferred but not required).
Benefits
We provide market standard benefits (health, vision, dental, 401k, etc.). Join us for the culture and the mission, not for the benefits.
Salary
The annual compensation is expected to be between $60,000 - $1,000,000. Exact compensation may vary based on skills, experience, and location.
Salary : $60,000 - $1,000,000
