Data Operations Engineer
US$110,000 – US$140,000 / yr base salary
Posted 23 Jul 2026
Advertised as “Senior Data Operations Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$110,000 – US$140,000 / yr |
|---|
FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
About the Role
Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics.
FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You’ll work directly with the Research Operations Partner to scale FAIRI’s in-house data function, and you’ll set the technical and operational bar the rest of the Data Operations Engineering team is built around.
What You’ll Do
Data Tooling & Infrastructure — 25%
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Build and maintain hardware sensor suites — sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).
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Write and maintain QA scripts for in-house and vendor data drops.
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Build and maintain annotation software and other internal data tooling.
Data Collection & Annotation — 25%
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Run motion capture, teleoperation, and human-subjects data collection sessions yourself — the fastest way to dogfood and stress-test tooling and protocols before handing them to the team.
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Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI’s evaluation framework.
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Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.
Team Management & Documentation — 25%
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Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.
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Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.
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Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.