SuperAnnotate
The Research Engineer will independently define and execute research projects, from identifying relevant literature and benchmarks to building MVPs and delivering tangible outputs such as datasets, pilots, or publications. The role involves close collaboration with strategic and technical leads to translate ambiguous directions into concrete research plans and validate ideas through hands‑on implementation.
Headquarters
San Francisco, California, United States
Company Size
51-200 employees
Founded
2018
SuperAnnotate is a human-in-the-loop AI data platform that helps teams create, manage, and evaluate high-quality labeled datasets across vision, language, and multimodal use cases. It provides a customizable annotation builder, pipeline orchestration for CI/CD-style data workflows, and tools for agent evaluation and feedback-driven model-in-the-loop labeling. The platform emphasizes speed, scalability, collaboration, and auditability—offering integrations, analytics, and QA controls to accelerate model development and reliable deployment. SuperAnnotate is used by ML teams and enterprises to operationalize data pipelines for production AI systems.
SuperAnnotate snags $13M in funding to take on Scale AI and Surge AI
Jul 15, 2025
SuperAnnotate Secures $13M Series B Extension for AI Data Platform
Jul 16, 2025
We got an exclusive look the pitch deck that SuperAnnotate used to raise $3 million to help AI 'see' objects
Jun 11, 2020
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for SuperAnnotate.
77% above the average for this role
The Pitch: Does your AI know what's in the picture? SuperAnnotate can help it learn
May 13, 2019
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