Data Annotation Quality Specialist

Data Annotation Quality Specialist

Full-Time 30000 - 40000 £ / year (est.) No working from home possible
Mistral AI

At a Glance

  • Tasks: Create and audit high-quality data annotations for AI model development.
  • Company: Join Mistral, a dynamic team on a mission to democratise AI.
  • Benefits: Competitive salary, equity, lunch vouchers, gym pass, health insurance, and generous parental leave.
  • Other info: Dynamic work environment with opportunities for growth and innovation.
  • Why this job: Be part of a transformative AI journey and enhance your analytical skills.
  • Qualifications: Background in STEM, strong English skills, and a passion for learning.

The predicted salary is between 30000 - 40000 £ per year.

About Mistral

At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. 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, with teams distributed between Europe, the USA and Asia. We develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way businesses operate and which can integrate into our daily lives. All while releasing frontier models open‑source for everyone to try and benefit.

Role Summary

We’re seeking highly motivated Data Quality Specialists with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. In this role, you will contribute to and audit human data annotations, upholding the highest standards of quality and efficiency.

Key Responsibilities

  • Create high‑quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models.
  • In collaboration with the technical team, review and audit annotations to clarify requirements and share insights that improve annotation processes, tools, and guidelines.

About You

  • Relevant academic background (science, technology, engineering, mathematics).
  • Professional proficiency in English, with strong writing and comprehension skills.
  • Outstanding research and analytical skills.
  • Exercises great judgement with complex instructions, limited data, and/or multiple information sources.
  • Excellent communication, interpersonal, and organizational abilities.
  • Adapts easily to dynamic environments and changing requirements.
  • Appetite for operational work and high tolerance for repetitive tasks.
  • Passionate about and committed to learning new tools and technologies.

Nice to have

  • Proven track record working with data.
  • Fluency in multiple languages.
  • Experience with code.

Benefits (France)

  • Competitive cash salary and equity.
  • Daily lunch vouchers.
  • Monthly contribution to a Gympass subscription.
  • Monthly contribution to a mobility pass.
  • Full health insurance for you and your family.
  • Generous parental leave policy.
  • Visa sponsorship.

Data Annotation Quality Specialist employer: Mistral AI

At Mistral, we pride ourselves on being an exceptional employer, fostering a dynamic and collaborative work culture that thrives on innovation and diversity. Our commitment to employee growth is evident through competitive salaries, comprehensive health benefits, and opportunities for professional development in the rapidly evolving field of AI. Located in France, we offer unique advantages such as daily lunch vouchers and contributions to fitness and mobility, ensuring our team members are well-supported both personally and professionally.

Mistral AI

Contact Details:

Mistral AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Annotation Quality Specialist

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Tip Number 2

Prepare for interviews by researching Mistral and its mission. Understand their focus on AI and how your skills as a Data Annotation Quality Specialist can contribute. We want to see your passion for the role shine through!

Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online platforms. We recommend focusing on common questions related to data quality and analytical skills to boost your confidence.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Data Annotation Quality Specialist

Analytical Skills
Attention to Detail
Data Annotation
Quality Assurance
Research Skills
Communication Skills
Interpersonal Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Annotation Quality Specialist role. Highlight any relevant projects or roles where you've demonstrated strong analytical skills and attention to detail.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background fits with our mission at Mistral. Share specific examples of your work that showcase your ability to create high-quality data annotations.

Showcase Your Communication Skills:Since this role requires excellent communication, make sure your application is clear and well-structured. Use concise language and avoid jargon to demonstrate your writing proficiency.

Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves and you can easily keep track of your application status.

How to prepare for a job interview at Mistral AI

Know Your Data

Before the interview, brush up on your knowledge of data annotation and quality standards. Familiarise yourself with common tools and techniques used in the industry. This will not only show your enthusiasm but also demonstrate that you’re ready to hit the ground running.

Showcase Your Analytical Skills

Prepare examples from your past experiences where you’ve successfully analysed data or improved processes. Be ready to discuss how you approached complex instructions and what judgement calls you made. This will highlight your analytical prowess, which is crucial for the role.

Communicate Clearly

Since strong communication skills are key, practice articulating your thoughts clearly and concisely. During the interview, make sure to listen actively and respond thoughtfully. This will help you connect with the interviewers and showcase your interpersonal abilities.

Embrace Feedback

Mistral values continuous improvement, so be prepared to discuss how you handle feedback. Share instances where you’ve adapted your work based on constructive criticism. This shows that you’re open to learning and evolving, which is essential in a dynamic environment.