At a Glance
- Tasks: Design challenging math problems for AI training and evaluation.
- Company: Innovative AI-focused company shaping the future of technology.
- Benefits: Competitive pay, flexible remote work, and potential for project extension.
- Other info: Part-time role with 20 hours per week commitment and immediate start.
- Why this job: Make a real impact on AI by testing its reasoning with your math expertise.
- Qualifications: Master’s or PhD in Mathematics; strong Python skills required.
The predicted salary is between 30 - 44 £ per hour.
Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models.
Location: Remote
Type: Contract / Part-time
Commitment: 20 hours per week
Compensation: Up to 40 USD / hr
Project duration: 2 months, with potential extension
Availability: Immediate start
About the role
We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains.
We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution.
What you’ll do
- Design advanced mathematical problems for frontier AI training and evaluation
- Create deterministic problems with exactly one correct answer
- Write complete, verified solutions and clearly document the reasoning process
- Develop problems that test deep mathematical reasoning, not just memorization
- Where relevant, use Python or specialized tools to build computational workflows
- Ensure all outputs are technically precise, reproducible, and well-written in English
What we’re looking for
- Master’s or PhD in Mathematics or a closely related field
- Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics
- Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar
- Solid grasp of algorithms, numerical methods, and computational approaches
- Ability to design original, difficult problems that mirror real mathematical workflows
- Excellent attention to detail and technical writing skills in English
Nice to have
- Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software
- Background in olympiad-level, graduate-level, or research-level problem design
- Experience evaluating model reasoning, benchmarking, or technical assessment design
Mathematics Expert (UK) employer: Anyone AI
Join a forward-thinking company that values innovation and expertise in the field of mathematics. As a Mathematics Expert, you'll enjoy the flexibility of remote work while contributing to groundbreaking AI projects that shape the future of technology. With a commitment to employee growth and a collaborative culture, this role offers a unique opportunity to engage with cutting-edge models and make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Mathematics Expert (UK)
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Anyone AI.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Anyone AI and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Mathematics Expert (UK)
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Anyone AI aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Anyone AI
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Anyone AI.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Anyone AI.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Anyone AI, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Anyone AI will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
