AI Data Quality & Annotation Specialist

Mistral; Paris; Hybride; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Lunch vouchers

Gym subscription

Mobility pass

Health insurance

Parental leave policy

Visa sponsorship

Résumé du poste

Mistral is hiring a Data Quality Specialist to join the Human Data Annotation team. You will review and audit code annotations against rubrics to ensure training data quality for AI models, while also building and maintaining internal tools used by annotators.

You will collaborate with annotators, PMs, and engineers to improve guidelines and workflows. The role is hybrid, with focus on data quality review and tooling to support scalable annotation, and requires strong analytical skills,

Qualifications

• A degree in computer science, engineering, or a related field. Alternatively, 2 to 5 years of professional experience in software engineering, technical support, or developing tools.
• Hands-on experience using code agents (e.g. Mistral’s vibe) in your own development workflow, and genuine interest in how they're evolving.
• Proficient in at least one programming language (e.g. Python, JavaScript, or similar), with enough breadth to read and reason about code across a few core languages.
• Able to apply consistent judgment against a rubric and surface edge cases, ambiguities, or gaps in guidelines.
• Sustained focus and accuracy on detail-oriented, high-volume review work.
• Comfortable working in a Unix-like terminal: shell basics, package managers, environment setup, and git workflows (branches, merges, resolving conflicts).
• Able to troubleshoot local development environment issues across common operating systems.
• Professional proficiency in English, with strong writing and comprehension skills.

Responsabilités

• Generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models.
• Surface systemic issues, edge cases, and gaps in guidelines back to annotation operations and technical stakeholders.
• Produce annotations yourself when needed, modeling the quality bar expected of the team.
• Build and maintain internal tools and automation that streamline annotator workflows such as visualization dashboards, batch configuration scripts, output management utilities.
• Troubleshoot environment, tooling, and CLI/git issues for annotators on their local machines, liaising with IT and engineering as needed.

Connaissances

Programming experience

Unix-like workflows

English proficiency

Attention to detail

Rubric-based evaluation

Team collaboration

Formation

CS/Engineering degree

2–5 years software/tools experience

Outils

Python

JavaScript

Code agents (Mistral vibe)

Description du poste

Mistral is hiring a Data Quality Specialist to join the Human Data Annotation team. You will review and audit code annotations against rubrics to ensure training data quality for AI models, while also building and maintaining internal tools used by annotators.

You will collaborate with annotators, PMs, and engineers to improve guidelines and workflows. The role is hybrid, with focus on data quality review and tooling to support scalable annotation, and requires strong analytical skills,