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: Opportunity for growth in a creative, low-ego environment with global collaboration.
- Why this job: Make a real impact on AI development while collaborating with a passionate team.
- Qualifications: Degree in computer science or related field, or relevant experience in software engineering.
The predicted salary is between 60000 - 80000 £ 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 in London employer: mistral
Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.
StudySmarter Expert Advice🤫
We think this is how you could land Code Data Annotation Quality Specialist in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at mistral or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to mistral.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like mistral.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like mistral that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Code Data Annotation Quality Specialist in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at mistral.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at mistral and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at mistral
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If mistral uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
