Code Data Annotation Quality Specialist
Mistral AI · Paris · London
CHECKED 8H AGO
Frontier labremotemid-level
At a glance
Highlights
- Review and audit code annotations to uphold quality for AI model training.
- Build dashboards and automation that streamline annotator workflows and tooling.
- Model the quality bar by producing annotations and refining data guidelines.
What they offer
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal and transportation allowances
Ideal candidate
Detail-oriented software-minded reviewer who cares about data quality for AI and enjoys code agents. Collaborative and low-ego, you thrive on high-volume review work while improving tools and guidelines.
Requirements
- Degree in computer science, engineering, or 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 development workflow and interest in their evolution
- Proficiency in at least one programming language with ability to read and reason about code across multiple languages
- Ability to apply consistent judgment against a rubric and identify edge cases and 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
- Ability to troubleshoot local development environment issues across common operating systems
- Professional proficiency in English with strong writing and comprehension skills
Lab profile
About Mistral AI
Provides full-stack AI solutions from frontier models to tools, applications, and compute.
What they build
- Frontier AI models
- Developer tools
- AI applications
Known for
- Full-stack AI development
- Enterprise co-creation and deployment
- Customizable systems that run on customer terms
- Focus on finance, manufacturing, defense, healthcare and public sector