Code Data Annotation Quality Specialist

Mistral AI is hiring a Code Data Annotation Quality Specialist for a remote role open to applicants in France. Level rates it ; you can apply on Mistral AI.

Level's read on this job

Level rates this role 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, JavaScript and AI data labeling.
Level classifies it as a mid-level role.
Level lists 234 other open roles at Mistral AI.

AI in this role

Ensure code annotation quality and maintain internal tooling and automation for AI model training.

PythonJavaScript

ai-data-labelingcode-annotationtool-developmentcode-agentssoftware-engineering

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

As a Code Data Annotation Quality Specialist on the Human Data Annotation team, you will play a dual role in ensuring the quality of code annotations and maintaining the tools that support annotators. This role exists to uphold the highest standards for data used in training and evaluating AI models, while also improving the workflows and tools that enable efficient annotation. You will spend most of your time reviewing and auditing annotations against rubrics, with the remainder focused on building, maintaining, and troubleshooting internal tooling. Your collaboration with annotators, technical program managers, and engineers will help refine the guidelines and processes that shape how our data is produced.

What You Will Do

Generate and validate high-quality data annotations based on guidelines and continuous feedback.
Surface systemic issues, edge cases, and gaps in guidelines to annotation operations and technical stakeholders.
Produce annotations yourself to model the quality bar expected of the team.
Build and maintain internal tools and automation to streamline annotator workflows, such as dashboards, scripts, and utilities.
Troubleshoot environment, tooling, and version control issues for annotators, liaising with IT and engineering as needed.
Collaborate with stakeholders to refine guidelines and processes for data production.

What We're Looking For

A degree in computer science, engineering, or a related field, or 2 to 5 years of professional experience in software engineering, technical support, or tool development.
Hands-on experience using code agents in your development workflow and a genuine interest in their evolution.
Proficiency in at least one programming language (e.g., Python, JavaScript), with the ability to read and reason about code across multiple languages.
Ability to apply consistent judgment against a rubric and identify edge cases, ambiguities, or gaps in guidelines.
Sustained focus and accuracy for detail-oriented, high-volume review work.
Comfort working in a Unix-like terminal, including shell basics, package managers, environment setup, and version control workflows.
Ability to troubleshoot local development environment issues across common operating systems.
Professional proficiency in English, with strong writing and comprehension skills.

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

Code Data Annotation Quality Specialist at Mistral AI rates 70 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

Code Data Annotation Quality Specialist 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 5, 2026.
Seniority: mid.
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 LabelingCode AnnotationTool DevelopmentCode AgentsSoftware EngineeringPythonJavaScript

Questions you could be asked

How do you keep labeling instructions consistent across a large annotation team?
Tell me about a project where code annotation was part of your work. What did you do?
Tell me about a project where tool development was part of your work. What did you do?
Tell me about a project where code agents was part of your work. What did you do?
Tell me about a project where software engineering was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Data Labeling, Code Annotation, Tool Development, Code Agents, and Software Engineering. 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.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker