Data Operations Lead
Brooklyn
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingTranslate model-training and evaluation priorities into concrete data requirements, task definitions, collection plans, and acceptance criteria.
Build internal tools and software to streamline and make our process more efficient
Own the roadmap and delivery plan for major robotics data programs.
From the employer’s posting
Operationalize the execution of the collection, annotation, validation, and management of our data Translate model-training and evaluation priorities into concrete data requirements, task definitions, collection plans, and acceptance criteria. Own the roadmap and delivery plan for major robotics data programs.
Continually improve our process around collecting data and running evals Build internal tools and software to streamline and make our process more efficient Who You Are
Translate model-training and evaluation priorities into concrete data requirements, task definitions, collection plans, and acceptance criteria. Own the roadmap and delivery plan for major robotics data programs. Continually improve our process around collecting data and running evals
What you’ll bring
All qualificationsCore experience
- Experience with robotics, autonomous vehicles, embodied AI, or multimodal ML.
- Experience with video, sensor, trajectory, or teleoperation datasets.
- Familiarity with SQL, Python, or direct dataset analysis.
- Experience designing annotation ontologies or evaluation datasets.
- Experience coordinating external data vendors or collection partners.
Qualification wording
Experience with robotics, autonomous vehicles, embodied AI, or multimodal ML.
Experience with video, sensor, trajectory, or teleoperation datasets.
Familiarity with SQL, Python, or direct dataset analysis.
Experience designing annotation ontologies or evaluation datasets.
Experience coordinating external data vendors or collection partners.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Experience with video, sensor, trajectory, or teleoperation datasets. - Familiarity with SQL, Python, or direct dataset analysis. - Experience designing annotation ontologies or evaluation datasets.
Job description
About the role
You will own the programs that turn research priorities into usable robotics datasets, working with ML researchers, robotics engineers, data engineers, and operations teams to determine what data we need, translate those requirements into collection and annotation programs, and ensure the resulting datasets are delivered with the required quality, coverage, and timing. This is a technically demanding program role. You will not directly build every tool or run every collection shift, but you will understand the complete data lifecycle and drive coordinated execution across the teams responsible for it.
What you’ll do
- Operationalize the execution of the collection, annotation, validation, and management of our data
- Translate model-training and evaluation priorities into concrete data requirements, task definitions, collection plans, and acceptance criteria.
- Own the roadmap and delivery plan for major robotics data programs.
- Continually improve our process around collecting data and running evals
- Build internal tools and software to streamline and make our process more efficient
Who You Are
- You have significant experience in technical program management, ML operations, robotics, autonomy, data platforms, or a related technical field.
- You have managed complex programs spanning research, software, hardware, and operations.
- You understand the fundamentals of ML training data, evaluation, dataset quality, and experimentation.
- You communicate clearly in technical specifications, program reviews, and executive updates.
- You thrive in an environment where requirements and priorities change quickly.
- You are comfortable getting your hands dirty, whether that means writing some scrappy code or hopping on a flight to get things done
Bonus Points
- Experience with robotics, autonomous vehicles, embodied AI, or multimodal ML.
- Experience with video, sensor, trajectory, or teleoperation datasets.
- Familiarity with SQL, Python, or direct dataset analysis.
- Experience designing annotation ontologies or evaluation datasets.
- Experience coordinating external data vendors or collection partners.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on jobs.gem.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Brooklyn
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 29, 2026
- Recorded sightings
- 26
- Last seen by us
- Sep 30, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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