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WHO WE ARE
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WHO WE ARE Roboflow is building the visual cortex for AGI. Every day, millions of developers and half of the Fortune 100 use Roboflow to count cells https://blog.roboflow.com/cancer-research-computer-vision/ to accelerate cancer research, improve construction site safety https://blog.roboflow.com/preventing-accidents-on-construction-sites-with-computer-vision/, digitize floor plans https://blog.roboflow.com/floor-plan-analysis-computer-vision/, preserve coral reef populations https://blog.roboflow.com/reefos-supercharging-coral-reef-restoration-with-ai/, guide drone flight https://blog.roboflow.com/georeferencing-drone-videos/, and much more https://roboflow.com/templates. We have built the tools, community, and resources needed to make the world programmable with artificial intelligence. We're supported by great customers and investors, having raised over $100 million from Google Ventures, Craft Ventures, Sam Altman, Lachy Groom, Y Combinator, and more. Roboflow Labs is our applied research unit. We train our own open models (RF-DETR). We build our own benchmarks grounded in real enterprise use cases (RF100-VL). And we partner with frontier labs to deliver the training data they need to advance the capabilities that drive the most value back to our customers. Behind all of it is a global network of millions of Roboflow developers who have annotated billions of images and videos to date, as well as a proven enterprise business that is exploding as AI traverses the physical economy. WHAT YOU'LL DO As a Strategic Projects Lead on our Frontier Data team, you’ll own the delivery engine behind the datasets and environments we ship to leading AI labs. Every engagement runs through you: you take it in, scope it, stand up the process, run it, review the output, and ship it.
- Own delivery from intake through execution, review, and final shipment.
- Build processes that ensure quality is visible, measurable, and consistently enforced.
- Interface with researchers and engineers at leading AI labs to shape data products.
- Plan and manage capacity across contributor and reviewer networks. WHO YOU ARE You are a highly organized operator who thrives on ownership and who wants to be an important part of an exceptional team that focuses on using Roboflow’s computer vision platform to advance frontier model capabilities.. You have high agency and a bias toward action.
- Practical experience with agents, evaluations, or RL workflows.
- Outstanding organization, judgement, and communication skills.
- Nice to have: exposure to data labeling, annotation operations, evaluations, or ML training data pipelines. WHERE YOU'LL WORK Roboflow is a fully distributed company with hubs in San Francisco, New York City, Singapore, and Brazil. Roboflow Labs works in person in San Francisco. We host full company retreats twice per year. WHAT YOU'LL RECEIVE The target compensation for this role is $150,000 – $300,000 base salary commensurate with experience as well as equity in the company. Total cash comp is expected to scale significantly with growth of Roboflow Labs. In addition, we offer generous perks and benefits. Below are some of the highlights:
- Generous stipends covering travel, productivity, tools, meals, and office.
- Up to 100% of your health insurance costs covered.
- Unlimited PTO - with an annual 2 week minimum.
- 12 weeks parental leave NOT SURE IF THIS IS YOU? We want a diverse, global team with a broad range of experience and perspectives. We carefully consider every application and will either move forward with you, find another team that might be a better fit, keep in touch for future opportunities, or thank you for your time. LEARN MORE ABOUT US At Roboflow, we believe great ideas come from everywhere, and everyone. We’re proud to be an Equal Opportunity Employer committed to building a diverse and inclusive team. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other legally protected characteristics.
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