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- Tasks: Evaluate AI-generated images and videos, supporting quality assessments.
- Company: Join a large global tech company with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for growth.
- Why this job: Be part of a high-impact team working on cutting-edge generative AI models.
- Qualifications: Experience in data analysis, attention to detail, and knowledge of Python and SQL.
- Other info: Fast-paced environment with exciting challenges and career advancement.
The predicted salary is between 47000 - 52000 £ per year.
A large global tech company is seeking an AI Evaluation and Data Analyst for a hybrid role in London, paying £47,000-£52,000. The successful candidate will evaluate AI-generated images and videos, supporting quality assessments and communicating findings to ML engineers.
Ideal applicants will have experience in data and quality analysis, with strong attention to detail, and knowledge of Python and SQL. This is a fast-paced opportunity within a high-impact team focusing on generative AI models.
AI Model Evaluator & Data Analyst — Hybrid (London) employer: Principle HR
Contact Detail:
Principle HR Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Model Evaluator & Data Analyst — Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to AI evaluation and data analysis. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with Python and SQL, along with any relevant projects. This will give you an edge and demonstrate your capabilities to potential employers.
✨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 are proactive about their job search.
We think you need these skills to ace AI Model Evaluator & Data Analyst — Hybrid (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Model Evaluator & Data Analyst role. Highlight your experience in data and quality analysis, and don’t forget to mention your skills in Python and SQL. We want to see how you fit into our fast-paced team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about generative AI and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Attention to Detail: Since attention to detail is key for this position, make sure your application is free from typos and errors. We appreciate candidates who take the time to present their work neatly and accurately—it's a good sign of how you'll handle data!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Principle HR
✨Know Your AI Models
Make sure you brush up on the latest trends in generative AI models. Understand how they work and be ready to discuss your insights during the interview. This shows your passion for the field and helps you connect with the interviewers.
✨Showcase Your Data Skills
Prepare to demonstrate your experience with data analysis, especially using Python and SQL. Bring examples of past projects where you've evaluated data quality or analysed results. This will highlight your technical skills and attention to detail.
✨Communicate Clearly
Since you'll be communicating findings to ML engineers, practice explaining complex concepts in simple terms. Use clear, concise language and be ready to answer questions about your thought process. Good communication is key in a fast-paced environment.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions prepared. Ask about the team’s current projects or challenges they face with AI evaluation. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
