Mistral AI
As a Code Data Annotation Quality Specialist, you will ensure the quality of code annotations for AI model training by reviewing and auditing data against strict rubrics. You will also build and maintain internal tools, scripts, and dashboards to streamline annotator workflows and troubleshoot technical environment issues. This role requires close collaboration with engineers and program managers to refine guidelines and improve data production processes.
Mistral AI builds frontier large language models and an enterprise AI platform that lets companies customize, fine‑tune, and deploy AI assistants, autonomous agents, and multimodal models. Their offering centers on open models, developer APIs, and professional services designed for secure, scalable integration into products and workflows. Mistral combines research-grade model development with tooling for building tailored assistants and autonomous agents for business use cases. They also publish research and consumer-facing apps that showcase their models in action.
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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 Mistral AI.
Mistral AI didn’t post a salary, so this is our estimate from similar listings.
28% below the average for this role
France's AI company Mistral buys cloud service startup Koyeb
3 weeks ago