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- Tasks: Help improve AI's math skills by solving complex problems and providing feedback.
- Company: Join Turing, a leading AI company shaping the future of technology.
- Benefits: Enjoy remote work flexibility and collaborate with global experts in AI.
- Why this job: Make a real impact on AI performance while gaining valuable research experience.
- Qualifications: Must be pursuing or have completed a PhD in Mathematics or related fields.
- Other info: Contract position with flexible hours; ideal for independent researchers.
The predicted salary is between 30000 - 42000 £ per year.
6 days ago Be among the first 25 applicants
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 in the role but also impress us during discussions.
✨Tip Number 2
Brush up on your problem-solving skills by tackling complex mathematical problems similar to those mentioned in the job description. This will prepare you for the task-based assessment and demonstrate your analytical capabilities.
✨Tip Number 3
Engage with online communities or forums related to AI and mathematics. Networking with professionals in the field can provide insights and potentially lead to referrals, increasing your chances of landing the job.
✨Tip Number 4
Prepare to discuss your research experience and how it relates to the role. Be ready to explain your thought process clearly, as communication skills are crucial for this position and will be evaluated during the selection process.
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 any previous research or teaching experience in mathematics, especially if it relates to advanced topics. Mention specific projects or tasks that demonstrate your analytical skills and ability to solve complex problems.
Tailor Your CV: Customise your CV to reflect the requirements of the Remote Maths AI Trainer position. Include your academic background, particularly your PhD or Postdoc status, and any relevant coursework or publications that showcase your expertise in mathematics.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in this role and how your skills align with the company's objectives. Be sure to mention your ability to work independently in a remote setting and your communication skills.
Prepare for Task-Based Assessment: Since the selection process includes a task-based assessment, practice solving advanced mathematical problems similar to those mentioned in the job description. This will help you demonstrate your problem-solving abilities effectively during the assessment.
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 solve complex problems on the spot, as this role requires a deep understanding of advanced mathematics.
✨Communicate Clearly
Since the position involves explaining complex topics, practice articulating your thoughts clearly and concisely. Use examples from your research or previous experiences to illustrate your points effectively.
✨Familiarise Yourself with LLMs
Research large language models (LLMs) and their applications in mathematics. Understanding how these models work and their limitations will help you engage in meaningful discussions during the interview.
✨Prepare for Task-Based Assessments
Expect task-based assessments as part of the selection process. Practice solving similar mathematical problems that may be presented, and think about how you would approach evaluating and fine-tuning LLMs.
