Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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 global projects.
- Qualifications: Experience in data analysis and familiarity with Python or SQL required.
- Other info: Fast-paced environment with exciting career advancement opportunities.
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 Slough employer: Principle
Contact Detail:
Principle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Evaluation and Data Analyst in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving AI or machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI evaluation and data analysis. Practise explaining your thought process when evaluating AI outputs – clarity is key!
✨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, we love seeing candidates who take that extra step.
We think you need these skills to ace AI Evaluation and Data Analyst in Slough
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 Your Attention to Detail: Since this role requires a strong attention to detail, consider including examples in your application that demonstrate this skill. Whether it's a project where you identified quality gaps or improved model performance, we want to know how you excel in this area!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows 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.
✨Show Off Your Data Skills
Since this role involves using Python and SQL, be prepared to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges related to data analysis beforehand.
✨Communicate Clearly
You'll need to communicate findings to ML engineers, so practice explaining complex concepts in simple terms. Think about how you can convey your insights effectively, especially when discussing model weaknesses and improvements.
✨Attention to Detail is Key
This role requires a strong attention to detail, particularly with visual data. Bring examples of your work that showcase your ability to identify quality gaps and improvements in AI outputs, and be ready to discuss them during the interview.
