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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 global projects.
- Qualifications: Experience in data analysis and a strong attention to detail required.
- Other info: Fast-paced environment with exciting career advancement opportunities.
The predicted salary is between 40000 - 52000 £ per year.
We are 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, quality analysis, 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, as this role will move quickly!
AI Evaluation and Data Analyst employer: Principle HR
Contact Detail:
Principle HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Evaluation and Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in 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 with Python or SQL. This will give 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. Practice 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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Evaluation and Data Analyst
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, quality analysis, and any relevant projects that showcase your skills in Python and SQL.
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 makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Attention to Detail: Since this role requires a strong attention to detail, consider including examples in your application that demonstrate your ability to spot inconsistencies or quality gaps in data or outputs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Principle HR
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI evaluation and generative models. Familiarise yourself with the latest trends in AI, especially around image and video generation. Being able to discuss recent advancements or challenges in the field will show your passion and expertise.
✨Showcase Your Data Skills
Since this role involves using Python and SQL, be prepared to discuss your experience with these tools. Bring examples of past projects where you've used data analysis to drive decisions or improve processes. If you can, demonstrate your problem-solving skills with a quick coding challenge or data scenario.
✨Attention to Detail is Key
This position requires a strong focus on quality and detail, especially when evaluating AI outputs. Prepare to discuss how you've ensured quality in your previous work. You might even want to bring a portfolio of your evaluations or analyses to showcase your meticulous approach.
✨Communicate Clearly
You'll need to communicate findings effectively to ML engineers, so practice articulating complex ideas in simple terms. Think about how you would explain a technical concept to someone without a technical background. Clear communication can set you apart from other candidates.
