Senior Data Operations Engineer

FieldAIBoston, MA
Onsite

About The Position

FieldAI 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.

Requirements

  • Soldering and cable assembly
  • Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU)
  • Data annotation for robotics or autonomous vehicles
  • QA for hardware and/or software
  • 3D scanning and 3D printing
  • Data collection and human subjects research (IRB/consent familiarity a plus)
  • AR/VR development or production
  • Python, Java, or equivalent scripting
  • LIDAR
  • Robotics (platforms, sensors, or control)
  • Linux command line
  • Blender or Unity
  • Film/TV production
  • Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off.
  • High ownership: you can take an open-ended ask (“troubleshoot why this data had issues ”) and run with it without much hand-holding.
  • Strong documentation habits: you leave SOPs and processes better than you found them.

Nice To Haves

  • Background in film/TV production, game development, data operations, or another field where wearing every hat is normal
  • Interest in humanoid robotics and how machines learn from human movement

Responsibilities

  • Build and maintain hardware sensor suites — sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).
  • Write and maintain QA scripts for in-house and vendor data drops.
  • Build and maintain annotation software and other internal data tooling.
  • 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.
  • Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI’s evaluation framework.
  • Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.
  • Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.
  • Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.
  • Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.
  • Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.
  • Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities.
  • Support demo planning and execution, coordinating with the Research Operations Partner
  • Help produce content showcasing FieldAI’s ability to deploy robots on dull, dirty, and dangerous jobs.
  • Troubleshoot hardware and software issues live during demos with important stakeholders.

Benefits

  • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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