Summary
Written in English from the original postingInstawork is seeking a contract Robotics Data Engineer Consultant to collect, validate, and synchronize robotics sensor data for AI model training. The role involves building ROS data pipelines, camera calibration, and using tools such as .mcap, ZED SDK, Foxglove, or RViz. It requires Python or C++ and 3+ years of experience.
Job description
We are seeking a consultant to help with a new exciting Robotics initiative at Instawork. We are looking for someone who can start immediately and hit the ground running with our current projects.
Who You Are:
• Perfecting Robotics Data: You have an obsessive attention to detail when it comes to collecting and validating data from robotics sensors. You know how to use tools like ROS, .mcap, and the ZED SDK to ensure every data stream is perfectly synchronized, lossless, and ready for AI model training.
• Camera Calibration Wizard: You are a master of camera calibration, with a deep understanding of intrinsic and extrinsic parameters. You know how to use calibration patterns (like checkerboards) to achieve sub-millimeter accuracy and troubleshoot common calibration issues on the fly.
What Makes You Stand Out:
• You're an Expert in ROS: You don't just use ROS; you know how to build and maintain robust data pipelines with it. Experience with the ZED SDK is a huge plus.
• You See the Bigger Picture: You understand that your job isn't just about collecting data—it's about enabling a cutting-edge AI model. You know what makes a dataset good for machine learning and can proactively solve problems to prevent model bias.
• Tools of the Trade: You're fluent in Python or C++ and are comfortable using data visualization tools like Foxglove or RViz to debug and validate data quality.
- Job type: Contract
- Role: Robotics
- Salary: $50 - $300 / hourly
- Visa: US citizenship/visa not required
- Experience: 3+ years
About Instawork
Instawork is the on-demand staffing app for hospitality gigs. We quickly and reliably match businesses with nearby qualified workers. We’re excited to enable our Professionals, a new generation of the emerging, diverse workforce, to be a part of the growing gig economy.
We’ve been fortunate to be funded by some of the greatest investors in Silicon Valley: Benchmark (Bill Gurley), Y Combinator, SV Angel, Crunchfund, Steve Chen (co-founder of YouTube), Mike Vernal (VP of Product at Facebook), among many more.
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