A hybrid role at Mistral AI.
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Original listing text, shown exactly as published by the company.
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Generate and validate high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models
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Surface systemic issues, edge cases, and gaps in guidelines back to annotation operations and technical stakeholders
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Produce annotations yourself when needed, modeling the quality bar expected of the team
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Build and maintain internal tools and automation that streamline annotator workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar
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Troubleshoot environment, tooling, and CLI/git issues for annotators on their local machines, liaising with IT and engineering as needed
About you
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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
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Hands-on experience using code agents (e.g. Mistral’s vibe) in your own development workflow, and genuine interest in how they're evolving
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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
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Able to apply consistent judgment against a rubric and surface edge cases, ambiguities, or gaps in guidelines
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Sustained focus and accuracy on detail-oriented, high-volume review work
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Comfortable working in a Unix-like terminal: shell basics, package managers, environment setup, and git workflows (branches, merges, resolving conflicts)
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Able to troubleshoot local development environment issues (dependencies, virtual environments, paths, permissions) across common operating systems
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Professional proficiency in English, with strong writing and comprehension skills
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Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data
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Experience building an annotation team through interviews and training
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Experience supporting technical users or troubleshooting developer environments (internal tools support, DevRel, teaching assistant for coding courses, etc.)
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Fluency across multiple programming languages, or domain depth in one of: frontend, backend, DevOps, MLOps, data engineering
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Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data…
Mistral AI
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Mistral AI SAS is a French artificial intelligence (AI) company, headquartered in Paris. Founded in 2023, it has open-weight large language models (LLMs), with both open-source and proprietary AI models. As of 2025 the company has a valuation of more than US$14 billion.
Source: Wikipedia
