On-Site Robotics AI Data Engineer (Austin)

Roboligent; Round Rock (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

Roboligent, an Austin-based robotics company, is building Robin, a force-controlled fast mobile manipulator for warehouse work. You will own the data loop that turns field data into training-ready material, and you will design evaluation protocols to quantify improvements on real robots in customer environments.

You are the accountable owner of data collection tooling and the pipeline, ensuring fast, reliable data generation by field engineers and operators.

Qualifications

• 3+ years of engineering experience with data from real robots.
• Direct experience with imitation learning or robot policy learning in a role where real-world performance was your problem.
• Clear technical writing — provide evaluation protocol, data-quality document, or experiment write-up.
• Real experience developing with AI coding agents as part of your workflow.
• Willing to be in the lab with the hardware — this role does not work remotely.
• Degrees are useful signal, not a requirement.

Responsibilities

• Own the data pipeline: ingestion, versioning, time sync, conventions, automated quality checks before data reaches a training run.
• Own evaluation: a real-robot evaluation protocol, regression tracking, failure taxonomies.
• Own collection tooling and operator enablement: make field engineers and customer operators productive at generating usable episodes.
• Own data-driven model work: fine-tunes and ablations that decide where collection effort goes.
• Own the contract with the fleet: what gets captured, what leaves the customer's building, in what shape.

Skills

Imitation learning

Robot policy learning

Technical writing

AI coding agents

Robotics with real hardware

Engineering experience

Lab presence

Job description

Roboligent, an Austin-based robotics company, is building Robin, a force-controlled fast mobile manipulator for warehouse work. You will own the data loop that turns field data into training-ready material, and you will design evaluation protocols to quantify improvements on real robots in customer environments.

You are the accountable owner of data collection tooling and the pipeline, ensuring fast, reliable data generation by field engineers and operators.