AI Evaluation Analyst - Quality Metrics & Data
AI Evaluation Analyst - Quality Metrics & Data

AI Evaluation Analyst - Quality Metrics & Data

Entry level 30000 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Prototype evaluation protocols and conduct in-house ratings for generative models.
  • Company: Leading recruitment agency in Greater London with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
  • Why this job: Join a dynamic team and shape the future of AI evaluation.
  • Qualifications: Associate's degree in STEM and basic knowledge of Python, Unix, and SQL.
  • Other info: Ideal for problem solvers who thrive in collaborative environments.

The predicted salary is between 30000 - 42000 £ per year.

A leading recruitment agency is looking for additional data analysts in Greater London, focused on developing manual and automatic evaluations for generative models.

Responsibilities include:

  • Prototyping evaluation protocols
  • Conducting in-house ratings
  • Collaborating with engineers to identify model gaps

Candidates should have an Associate's degree in a STEM field and basic knowledge of Python, Unix, and SQL. Strong communication and problem-solving skills are essential for this role.

AI Evaluation Analyst - Quality Metrics & Data employer: Morgan McKinley

As a leading recruitment agency in Greater London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive training programmes, opportunities for professional growth, and a supportive environment that values diverse perspectives. Join us to be part of a forward-thinking team where your contributions directly impact the development of cutting-edge AI technologies.
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Contact Detail:

Morgan McKinley Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Evaluation Analyst - Quality Metrics & Data

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Unix, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common questions related to data analysis and generative models. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

✨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 often have exclusive listings that you won’t find anywhere else.

We think you need these skills to ace AI Evaluation Analyst - Quality Metrics & Data

Data Analysis
Python
Unix
SQL
Communication Skills
Problem-Solving Skills
Evaluation Protocols Development
Collaboration with Engineers

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant skills and experiences that match the job description. We want to see how your background in STEM and any experience with Python, Unix, or SQL can contribute 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 problem-solving skills can help us improve our generative models. Keep it engaging and personal!

Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application reflects your ability to convey complex ideas clearly. Whether it's in your CV or cover letter, we want to see how you articulate your thoughts.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Morgan McKinley

✨Know Your Tech

Brush up on your Python, Unix, and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework. This will show that you’re not just familiar with the basics but can apply them effectively.

✨Understand Evaluation Protocols

Familiarise yourself with both manual and automatic evaluation methods for generative models. Think of examples where you’ve had to evaluate data or models, and be prepared to share your thought process during the interview.

✨Communicate Clearly

Strong communication skills are a must for this role. Practice explaining complex concepts in simple terms, as you may need to collaborate with engineers who might not have a data background. Clear communication can set you apart from other candidates.

✨Problem-Solving Mindset

Prepare to showcase your problem-solving skills. Think of specific challenges you’ve faced in your studies or previous roles and how you overcame them. This will demonstrate your analytical thinking and ability to tackle model gaps effectively.

AI Evaluation Analyst - Quality Metrics & Data
Morgan McKinley
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  • AI Evaluation Analyst - Quality Metrics & Data

    Entry level
    30000 - 42000 £ / year (est.)
  • M

    Morgan McKinley

    200-500
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