About this role
Roboflow is hiring a full-time Member of Operations Staff to join the Roboflow Labs team in San Francisco. This in-person role suits an organized operator ready to manage complex datasets and delivery pipelines for leading artificial intelligence research labs.
Role Overview
As a Member of Operations Staff within the Frontier Data team, the individual takes charge of the entire delivery engine for datasets and environments shipped to prominent AI organizations. Every client engagement flows directly through this position, from initial intake and scope definition to process creation, execution, quality review, and final delivery. This person acts as the bridge between partner lab engineers and internal teams, turning vague project goals into clear specifications while partnering with software engineers to automate recurring tasks.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Roboflow builds the visual cortex for artificial intelligence, offering tools and resources used by millions of developers and Fortune 100 companies. The company builds open models, creates industry benchmarks, and partners with frontier labs to supply essential training data. Roboflow is backed by prominent investors including Google Ventures, Craft Ventures, Sam Altman, and Y Combinator, having raised over $100 million to date. The Roboflow Labs unit operates in person in San Francisco, bringing together talented teams to advance the physical economy using computer vision.
How to Apply
Interested candidates should visit the official Roboflow careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is located in San Francisco and works in-person as part of the Roboflow Labs team.
What is the salary range for the Member of Operations Staff role?
The target base salary ranges from $150,000 to $300,000 per year, based on experience, alongside company equity.
What are the primary responsibilities of this role?
The role involves owning the delivery of datasets and environments for AI labs, designing quality assurance processes, collaborating with external researchers, and managing capacity across contributor networks.
What benefits are offered with this position?
Benefits include up to 100% covered health insurance, unlimited PTO with a two-week minimum, 12 weeks of parental leave, stipends for travel and productivity, and company equity.
Is prior experience with machine learning required?
Candidates need practical experience with agents, evaluations, or reinforcement learning workflows, while exposure to data labeling or ML training data pipelines is considered a nice-to-have.