Technical Program Manager, Human Data Annotation (Code)

Mistral AI is hiring a Technical Program Manager, Human Data Annotation (Code) for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting lists this role as remote.
Tools and skills the posting cites include Python, AI data labeling and program management.
Level classifies it as a senior role.
Level lists 234 other open roles at Mistral AI.

AI in this role

Lead and scale human data annotation operations and quality assurance for code-related AI research teams.

Python

ai-data-labelingprogram-managementdata-annotationquality-assurancecode-review

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

We are seeking a highly skilled and motivated Technical Program Manager to lead and scale human data annotation operations for our Code team. In this pivotal role, you will collaborate closely with researchers to define and drive data strategies. This role is a critical link between research, product, engineering, and annotation teams, and will be key in accelerating research at Mistral AI.

What will you do

Partner closely with 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, balancing data needs, budget, delivery timeline
Manage a data quality assurance team that designs and implements rigorous and scalable quality control processes, including running automated and manual checks, synthesizing actionable insights, and driving continuous improvement
Establish and maintain strong relationships with annotation teams (e.g. contractor, vendor) to generate high quality data, spanning phases across sourcing, contracts, onboarding / training, performance monitoring, etc.

What We're Looking For

5+ years of relevant experience, with a blend of software engineering and technical program management
Strong technical foundation in Python
Highly organized, detail-oriented, and able to work well under pressure - excellent project management skills, with the ability to successfully manage multiple projects simultaneously
Great communication skills, capable of engaging effectively with both technical and non-technical stakeholders
Autonomous and proactive problem-solver with a continuous improvement mindset
Experience leading a team, with a low ego and team spirit mindset
Embraces hands-on, operational work in a fast-paced and dynamic environment

Nice to have criteria/ would be ideal if you have/are:

Proficiency in JavaScript/TypeScript and experience in modern web frameworks (FastAPI, Django, React, …)
Experience with operations around data collection, annotation, and/or quality assurance
Experience with vendor and/or contractor management
Understanding of and interest in LLMs

What We Offer

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

How we rate this

Technical Program Manager, Human Data Annotation (Code) at Mistral AI rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Technical Program Manager, Human Data Annotation (Code) is an open job at Mistral AI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Paris and is marked remote.
The job was posted on July 29, 2026.
Seniority: senior.
Applications are handled by Mistral AI. Apply on Mistral AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI Data LabelingProgram ManagementData AnnotationQuality AssuranceCode ReviewPython

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where data annotation was part of your work. What did you do?
Tell me about a project where quality assurance was part of your work. What did you do?
Tell me about a project where code review was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Program Management, Data Annotation, Quality Assurance, and Code Review. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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