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Mistral AI

Open-weight LLMs and enterprise AI deployment

Technical Program Manager - Human Data Annotation, Code

Program ManagementConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of relevant experience combining software engineering and technical program management.
  • A strong technical foundation in Python.
  • Strong project management skills and the ability to manage multiple projects simultaneously.
  • Experience leading a team.
  • Willingness to perform hands-on operational work in a fast-paced and dynamic environment.

Responsibilities

  • Partner with the code research team to develop data strategies and translate research needs into operationalizable human data annotation campaigns.
  • Drive human data annotation campaigns from scoping through delivery while balancing data needs, budget, and delivery timelines.
  • Manage a data quality assurance team that designs and implements rigorous, scalable quality control processes, including automated and manual checks, synthesis of actionable insights, and continuous improvement.
  • Establish and maintain relationships with annotation teams, contractors, and vendors across sourcing, contracts, onboarding and training, and performance monitoring.

Desired Qualifications

  • Proficiency in JavaScript and TypeScript and experience with modern web frameworks such as FastAPI, Django, and React.
  • Experience with operations involving data collection, annotation, and quality assurance.
  • Experience with vendor or contractor management.
  • Understanding of and interest in large language models.

About the Company

Mistral AI

Open-weight LLMs and enterprise AI deployment

Mistral AI builds open-weight large language models and the tools to run them, along with inference infrastructure and enterprise products that let organizations deploy AI with control over data residency, customization, and the underlying stack. Its platform provides open-model architectures and a deployment stack for inference, governance, and integration that can run on‑premises or in the cloud. This openness and modular stack differentiate it from single-vendor hyperscalers by prioritizing data locality and flexibility. The company aims to enable reliable, customizable AI deployment at scale for businesses and public-sector customers across many countries.

Company size
1,001-5,000
Company stage
Series D
Total funding
$7.2B
Headquarters
Paris, France
Founded
2023

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