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- Tasks: Evaluate AI-generated content and improve model performance through data analysis.
- Company: Join a leading global tech company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact on generative models.
- Qualifications: Experience in data analysis and familiarity with Python or SQL required.
- Other info: Fast-paced environment with exciting challenges and career advancement potential.
The predicted salary is between 40000 - 52000 £ per year.
10 month contract | London (Hybrid – 3 days onsite) £47,000–£52,000
We’re hiring an AI Evaluation and Data Analyst for a large global tech company to support a high-impact team building and assessing generative image and video AI models used at global scale. This role focuses on evaluating AI outputs, identifying quality gaps, and improving model performance through data and human judgement, working closely with engineers in a fast-moving product environment.
What you’ll do:
- Evaluate AI-generated images and videos across quality, realism, and prompt accuracy
- Support human and semi-automated evaluation frameworks for generative models
- Identify model weaknesses and clearly communicate findings to ML engineers
- Use Python and SQL to explore data and support evaluations
- Help identify data gaps and contribute to training data improvements
What we’re looking for:
- Experience in data analysis, QA, AI evaluation, or product-focused analytical roles
- Strong attention to detail, especially with visual or unstructured data
- Working knowledge of Python and/or SQL
- Exposure to AI, machine learning, computer vision, or generative models
- STEM background or equivalent practical experience
Apply today - this role will move fast!
AI Evaluation and Data Analyst in London employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Evaluation and Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working with AI and data analysis. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially any work related to AI evaluation. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past roles, and maybe even tackle a coding challenge or two during the interview.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Evaluation and Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Evaluation and Data Analyst role. Highlight your experience in data analysis, QA, and any relevant projects that showcase your skills in Python and SQL. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI evaluation and how your background aligns with the job description. We love seeing enthusiasm and a clear understanding of the role.
Showcase Relevant Skills: Don’t forget to emphasise your attention to detail and any experience with visual or unstructured data. If you've worked with generative models or have a STEM background, make sure to mention it! We’re looking for candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Principle
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI evaluation and generative models. Be ready to discuss specific examples of how you've evaluated AI outputs in the past, especially focusing on quality and realism. This will show that you understand the nuances of the role.
✨Show Off Your Data Skills
Since this role involves using Python and SQL, be prepared to talk about your experience with these tools. Bring examples of projects where you've used data analysis to identify gaps or improve performance. If you can, even practice a few coding problems beforehand to feel confident!
✨Attention to Detail is Key
Highlight your strong attention to detail, especially when it comes to visual or unstructured data. You might be asked to evaluate some AI-generated content during the interview, so be ready to articulate what you notice and how you would communicate those findings to engineers.
✨Ask Smart Questions
Prepare thoughtful questions about the team and the projects you'll be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Ask about the challenges they face in AI evaluation and how you can contribute to overcoming them.
