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- Tasks: Help improve AI's math skills by solving complex problems and evaluating models.
- Company: Join Turing, a leading AI company transforming 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: Strong maths background and analytical skills are essential; clear communication is a plus.
- Other info: Contract role with flexible hours; start next week!
Overview
Turing Greater London, England, United Kingdom
Remote Maths AI Trainer – 34877
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.
Responsibilities
- Determine the number of real 5×55 × 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: Strong background 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.
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 - 34877 employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Maths AI Trainer - 34877
✨Tip Number 1
Familiarise yourself with the latest advancements in large language models and their applications in mathematics. Understanding how these models work will help you engage more effectively during discussions and assessments.
✨Tip Number 2
Brush up on your problem-solving skills, especially in advanced mathematics. Practising complex problems similar to those mentioned in the job description will prepare you for the task-based assessment.
✨Tip Number 3
Showcase your ability to communicate complex mathematical concepts clearly. During any interviews or discussions, focus on articulating your thought process and reasoning in a structured manner.
✨Tip Number 4
Ensure your technical setup is reliable for remote work. Test your internet connection and computer performance ahead of time to avoid any disruptions during assessments or meetings.
We think you need these skills to ace Remote Maths AI Trainer - 34877
Some tips for your application 🫡
Highlight Your Mathematical Background: Make sure to emphasise your strong background in Mathematics, Applied Mathematics, or Statistics in your CV and cover letter. Provide specific examples of advanced math problems you have solved to demonstrate your analytical skills.
Showcase Communication Skills: Since the role requires clarity in explaining complex topics, include instances where you have successfully communicated intricate mathematical concepts. This could be through teaching, tutoring, or presenting research findings.
Detail Your Research Independence: Illustrate your ability to work independently in a remote environment. Mention any previous remote work experiences or projects where you had to manage your time effectively and contribute to team discussions.
Prepare for Task-Based Assessment: Anticipate the task-based assessment by reviewing relevant mathematical concepts and problem-solving techniques. Practice solving similar problems to those mentioned in the job description to showcase your skills effectively.
How to prepare for a job interview at Turing
✨Showcase Your Mathematical Skills
Be prepared to demonstrate your strong mathematical background. Brush up on advanced topics like algebra and logic, as you may be asked to solve complex problems during the interview.
✨Communicate Clearly
Since the role requires explaining complex topics, practice articulating your thought process clearly and concisely. Use examples to illustrate your points and ensure you can provide feedback with precision.
✨Demonstrate Research Independence
Highlight your ability to work independently in a remote setting. Share experiences where you successfully managed projects or tasks without direct supervision, showcasing your self-motivation and organisational skills.
✨Prepare for Task-Based Assessments
Expect task-based assessments as part of the selection process. Familiarise yourself with potential tasks related to evaluating language models and think about how you would approach these challenges methodically.
