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- Tasks: Create and audit high-quality data annotations for AI model development.
- Company: Join Mistral, a pioneering company on a mission to democratise AI.
- Benefits: Competitive salary, equity, daily lunch vouchers, gym contributions, and full health insurance.
- Other info: Opportunities for learning new tools and technologies in a collaborative environment.
- Why this job: Be part of a dynamic team shaping the future of AI with innovative projects.
- Qualifications: Strong analytical skills, relevant academic background, and excellent communication abilities.
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 are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI.
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/audit annotations in order 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:
- 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.
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Data Annotation Quality Specialist in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Annotation Quality Specialist in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and data annotation fields on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data annotation work or any relevant projects. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data quality and annotation processes. We recommend practising with a friend or even in front of the mirror 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 by the right people. Plus, it shows you're genuinely interested in joining our team at Mistral.
We think you need these skills to ace Data Annotation Quality Specialist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Annotation Quality Specialist role. Highlight your analytical skills and any relevant experience in data quality or annotation. We want to see how you fit into our mission at Mistral!
Show Off Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples from your past experiences that showcase your attention to detail and ability to work with complex instructions. This is your chance to shine, so let us see what you've got!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Make sure your passion for AI and commitment to quality come through without overwhelming us with too much information.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure we receive your details and can review them promptly. Plus, it shows you’re keen on joining our dynamic team at Mistral!
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 your analytical skills and attention to detail.
✨Showcase Your Communication Skills
Since this role involves collaboration with technical teams, be prepared to discuss how you effectively communicate complex ideas. Think of examples where you've successfully shared insights or clarified requirements in previous roles. This will highlight your interpersonal abilities.
✨Prepare for Scenario Questions
Expect questions that assess your judgement and problem-solving skills. Prepare for scenarios where you might need to make decisions based on limited data or complex instructions. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Demonstrate Your Passion for AI
Mistral is all about innovation in AI, so express your enthusiasm for the field. Share any relevant projects or experiences that showcase your commitment to learning new tools and technologies. This will resonate well with the team spirit they value.