Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Evaluate AI models and create engaging problem sets to boost performance.
- Company: Join Mercor, a forward-thinking company at the forefront of AI technology.
- Benefits: Earn $72–$80 per hour, with flexible remote work and weekly pay.
- Other info: Commit to 20 hours a week in a dynamic, innovative environment.
- Why this job: Make a real difference in AI development while utilising your maths expertise.
- Qualifications: PhD in Mathematics or relevant experience; tutoring skills are a plus.
The predicted salary is between 36 - 40 £ per hour.
Mercor is seeking a Mathematics Expert to work remotely in evaluating AI models through technical tasks related to mathematics. The ideal candidate should have a PhD in Mathematics, or an MS with experience, or a BS with significant tutoring experience.
Responsibilities include:
- Authoring problem sets
- Providing structured feedback to enhance AI model performance
Compensation is hourly at £72–£80, with a commitment of 20 hours per week and paid weekly.
Mathematics AI Evaluation Specialist — Remote Contractor in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Mathematics AI Evaluation Specialist — Remote Contractor in London
✨Tip Number 1
Network like a pro! Reach out to fellow mathematicians or AI enthusiasts on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your problem sets or any relevant projects. This gives potential employers a taste of what you can bring to the table, especially for a role focused on evaluating AI models.
✨Tip Number 3
Prepare for interviews by brushing up on common mathematical concepts and AI evaluation techniques. We recommend practising with mock interviews to boost your confidence and refine your answers.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Mathematics AI Evaluation Specialist — Remote Contractor in London
Some tips for your application 🫡
Show Off Your Maths Skills: Make sure to highlight your qualifications and experience in mathematics. Whether it's your PhD, MS, or BS, let us know how your background makes you the perfect fit for evaluating AI models.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific responsibilities mentioned in the job description. We love seeing how you can contribute to our mission!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Mercor
✨Know Your Maths Inside Out
Make sure you brush up on your mathematical concepts and theories. Be prepared to discuss your PhD research or any relevant experience in detail, as they might ask you to explain complex ideas or solve problems on the spot.
✨Familiarise Yourself with AI Models
Since the role involves evaluating AI models, it’s crucial to understand how these models work. Do some research on common AI algorithms and their mathematical foundations. This will help you articulate your thoughts clearly during the interview.
✨Prepare Problem Sets
Think about how you would author problem sets for AI evaluation. Bring examples of problems you've created in the past or draft a few new ones that could be relevant. This shows your proactive approach and understanding of the role's responsibilities.
✨Structured Feedback is Key
Be ready to discuss how you would provide structured feedback to enhance AI model performance. Think of specific examples from your past experiences where your feedback led to improvements, and be prepared to share those insights.