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- Tasks: Help fine-tune AI models to solve complex maths problems remotely.
- Company: Join Turing, a leading AI company transforming the future of technology.
- Benefits: Flexible remote work, collaborate with global experts, and gain cutting-edge experience.
- Why this job: Make a real impact on AI performance in mathematics while working independently.
- Qualifications: Must be pursuing or have completed a PhD in Mathematics or related fields.
- Other info: Commit to at least 20 hours per week with flexible scheduling options.
The predicted salary is between 36000 - 60000 £ per year.
Turing Cambridge, England, United Kingdom
Remote Maths AI Trainer (PhD) – 34877
Turing Cambridge, England, United Kingdom
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
We are seeking researchers with strong mathematical and analytical backgrounds to assist in fine-tuning and evaluating large language models (LLMs). Your work will help LLMs improve their ability to understand and solve complex math problems, such as multi-step algebra or logic questions.
Research Objectives:
As a contributor to this research-focused initiative, you may be asked to complete the following or similar tasks:
- Determine the number of real 5×55 \\times 55×5 symmetric matrices of rank 2 whose entries are only 0 or 1.
- How many subsets of a 10-element set exist such that the characteristic vector of each subset has Hamming weight exactly 3?
- How many distinct 10-digit numbers exist where the sum of the digits is divisible by 3, and each digit is either 0 or 1?
These tasks are designed to find model weaknesses and improve training and evaluation workflows.
Candidate Profile:
- Academic Background: Enrolled in or completed a PhD/Postdoc in Mathematics, Applied Mathematics, Statistics, or a related field.
- Analytical Skills: Strong ability to solve advanced math problems with clear and structured reasoning.
- Communication Skills: Clarity in explaining complex topics and providing feedback with precision.
- Research Independence: Ability to work independently in a remote research environment and participate actively in team discussions..
- Technical Setup: Access to a reliable computer and internet setup to participate in remote assignments.
Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered.
Time Commitment & Contract Details:
- Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week)
- Engagement type: Contractor assignment/freelancer (no medical/paid leave)
- Duration of contract: 1 month; [expected start date is next week]
Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload.
About Turing:
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Why work with Turing?
- Work on research that directly impacts the future of language model performance in mathematics and STEM.
- Collaborate with a global network of experts shaping next-generation AI benchmarks.
- Gain exposure to cutting-edge model evaluation strategies in an academic–industry hybrid setting.
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Remote Maths AI Trainer (PhD) - 34877 employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Maths AI Trainer (PhD) - 34877
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models (LLMs) and their applications in mathematics. Understanding how these models work will not only help you during the interview but also demonstrate your genuine interest in the role.
✨Tip Number 2
Prepare to discuss specific mathematical problems similar to those mentioned in the job description. Practising how to articulate your thought process when solving complex problems will showcase your analytical skills effectively.
✨Tip Number 3
Engage with online communities or forums related to AI and mathematics. Networking with professionals in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Be ready to demonstrate your research independence. Prepare examples from your academic experience where you successfully worked independently on a project, as this is a key requirement for the remote nature of the position.
We think you need these skills to ace Remote Maths AI Trainer (PhD) - 34877
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your academic background, particularly if you have a PhD or are currently pursuing one in Mathematics or a related field. Detail any relevant research or projects that showcase your analytical skills and experience with complex mathematical problems.
Demonstrate Communication Skills: Since the role requires clarity in explaining complex topics, include examples of how you've effectively communicated intricate ideas in previous roles or during your studies. This could be through presentations, publications, or collaborative projects.
Showcase Research Independence: Illustrate your ability to work independently in a remote setting. Mention any past experiences where you successfully managed your own research or projects without direct supervision, highlighting your self-motivation and organisational skills.
Tailor Your Application: Customise your CV and cover letter to align with the specific requirements of the Remote Maths AI Trainer position. Use keywords from the job description to demonstrate that you understand the role and are a suitable candidate.
How to prepare for a job interview at Turing
✨Showcase Your Analytical Skills
Prepare to demonstrate your strong mathematical and analytical abilities during the interview. Be ready to discuss complex problems you've solved in the past, and consider bringing examples of your work that highlight your structured reasoning.
✨Communicate Clearly
Since the role requires clarity in explaining complex topics, practice articulating your thoughts on advanced mathematical concepts. Use simple language to explain your reasoning, as this will show your ability to communicate effectively with both technical and non-technical audiences.
✨Familiarise Yourself with LLMs
Research large language models and their applications in mathematics. Understanding how these models work and their limitations will help you engage in meaningful discussions during the interview and demonstrate your genuine interest in the role.
✨Prepare for Task-Based Assessments
Since the selection process includes task-based assessments, practice solving similar mathematical problems that may be presented. This will not only boost your confidence but also showcase your problem-solving skills directly related to the job.
