At a Glance
- Tasks: Ensure high-quality code annotations and improve annotation tools for AI projects.
- Company: Join a dynamic team at Mistral, leading in AI solutions across various industries.
- Benefits: Comprehensive benefits package including healthcare, wellness programs, and work-life balance support.
- Other info: Work in a creative, low-ego environment with excellent growth opportunities.
- Why this job: Make a real impact on AI development while collaborating with innovative minds.
- Qualifications: Degree in computer science or related field, or relevant experience in software engineering.
The predicted salary is between 45000 - 55000 £ per year.
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, Java Script), 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.
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Code Data Annotation Quality Specialist employer: Mistral
Mistral is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation thrives and every voice is valued. With a strong commitment to employee growth, we offer comprehensive benefits tailored to support your well-being and work-life balance, alongside opportunities for mentorship and professional development in the rapidly evolving field of AI. Join us in our EMEA location to be part of a diverse team dedicated to transforming industries through cutting-edge AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Code Data Annotation Quality Specialist
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We think you need these skills to ace Code Data Annotation Quality Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mistral, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mistral. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mistral
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mistral!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
