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- Tasks: Review data annotations for AI models and enhance internal tools.
- Company: Mistral AI, a leading player in the tech industry.
- Benefits: Competitive salary, pension plan, transport reimbursement, and gym membership allowances.
- Other info: Hybrid role offering a vibrant work culture and growth opportunities.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in computer science or similar, with strong analytical and software engineering skills.
The predicted salary is between 50000 - 65000 £ per year.
Mistral AI in Greater London is seeking a Data Quality Specialist to join their Human Data Annotation team. The ideal candidate will have strong analytical skills, a degree in computer science or similar, and hands-on experience in software engineering. This hybrid role involves reviewing data annotations for AI models and improving internal tooling.
Benefits include:
- Competitive salary
- Pension plan
- Transportation reimbursement
- Gym membership allowances
AI Data Quality Specialist & Annotation Tools in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Quality Specialist & Annotation Tools in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data quality space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects or any software engineering work. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data quality challenges and solutions. We want you to impress them with your knowledge and passion for the field!
✨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 at Mistral AI.
We think you need these skills to ace AI Data Quality Specialist & Annotation Tools in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and any relevant experience in software engineering. We want to see how your background aligns with the role of an AI Data Quality Specialist!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data quality and AI. Share specific examples of your past work that demonstrate your skills and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention any tools or technologies you’ve worked with that are relevant to data annotation and quality assurance. We love seeing hands-on experience, so let us know what you've got!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Mistral AI
✨Know Your Data Inside Out
Make sure you brush up on your understanding of data quality and annotation processes. Familiarise yourself with common pitfalls in data annotation and be ready to discuss how you would address them. This shows that you’re not just knowledgeable but also proactive about improving data quality.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical skills during the interview. Bring examples from your past experiences where you successfully identified and resolved data issues. Use specific metrics or outcomes to highlight your impact, as this will resonate well with the hiring team.
✨Get Comfortable with Tools
Since the role involves improving internal tooling, it’s crucial to be familiar with the tools used in data annotation and quality assurance. If you’ve worked with any relevant software or programming languages, be ready to discuss your experience and how you can leverage these tools to enhance their processes.
✨Ask Insightful Questions
Prepare a few thoughtful questions about Mistral AI's current projects or challenges they face in data quality. This not only shows your genuine interest in the role but also gives you a chance to demonstrate your critical thinking skills. It’s a great way to engage with the interviewers and leave a lasting impression.