Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Sep 2, 2026. Π scores B on the Alion truth index.
Join our Data Operations team as a Software Engineer (Data Quality). In this role, you will be responsible for ensuring the quality and safety of externally sourced multimodal data used for training robot foundation models. You will build and run the end-to-end quality assurance process, define quality standards, and manage vendor quality loops. The ideal candidate will have at least 5 years of experience in building customer-facing software, vendor management experience, and a strong drive for operational excellence. Experience with robotics or multimodal sensor data is a plus.
Missions
- Own external data QA & audit: Build and run the end-to-end QA process for multimodal data ingested from third-party vendors and partners.
- Define quality standards: Partner with researchers to translate what "good data" means into concrete, measurable rubrics and acceptance criteria.
- Build the system: Build the software interfaces, tooling, and infrastructure to scale the system in an automated way.
Profil recherché
- Clear written and verbal communication across researchers, operations teams, and external partners- ~5 years of experience across building customer facing software
- Comfort being hands-on in the data: reviewing samples yourself, writing and refining rubrics, and spot-checking your own program's output
- Vendor management experience: working directly with third-party data providers, delivering actionable feedback, and measurably improving the quality of their output
- Strong ops acumen and drive - a bias to instrument, measure, and iterate quickly rather than crank hours at a broken process
- Experience with robotics, egocentric video, or other multimodal sensor data
- Experience defining requirements for QA/validation tooling or working with engineers on automated data quality checks

