Maths STEM Expert at Turing

Maths STEM Expert | Contractor | Worldwide Remote

Turing is seeking highly skilled mathematicians with strong command of intermediate to advanced mathematical concepts to help train and improve the world's leading large language models (LLMs). Whether you hold an undergraduate degree or a masters/PhD in Mathematics, this is a unique opportunity to apply deep mathematical reasoning to cutting-edge AI development.

Key Responsibilities

• Develop and apply advanced mathematical models and computational techniques to solve complex problems across various mathematical domains.
• Collaborate with multidisciplinary teams to contribute mathematical insight and expertise to research projects.
• Engage with the latest mathematical literature, including cutting-edge research papers.
• Support the advancement of LLM mathematical proficiency through problem-solving and model evaluation tasks.

Required Skills

You must demonstrate strong proficiency in at least 4 of the following 7 areas:

• Computable Functions & Mathematical Logic: Theory of computation, decision problems, and function inference from inputs/outputs.
• Algebra & Number Theory: Quadratic forms, prime numbers, Eisenstein series, and algebraic structures.
• Linear Algebra & Matrix Theory: Bases, symmetric matrices, diagonalization, and rank conditions.
• Topology & Geometry: Vector bundles, cohomology, fundamental groups, and geometric proofs.
• Real Analysis: Function properties, convergence types, and continuity.
• Probability & Statistics: Probability theory, statistical inference, and methods such as ANOVA.
• Applied Mathematics: Practical problem-solving using mathematical reasoning and logic.

Qualifications

• Bachelor's, Master's, or PhD in Mathematics or a closely related field.
• Demonstrated ability to solve complex mathematical problems through research, publications, or projects.
• Excellent analytical and critical thinking skills with strong attention to detail.
• Strong communication skills — able to convey complex concepts to both technical and non-technical audiences.
• Experience working in multidisciplinary, collaborative environments.
• Python and data analysis skills are a plus but not required.

Engagement Details

• Type: Contractor
• Hours: Minimum 4 hours/day, up to 40 hours/week with at least 4 hours overlap with PST.

Evaluation Process

1. Shortlisted candidates will receive a Job Interest Form.
2. Following profile review, a timed assessment must be completed within 24 hours.
3. Successful candidates will be contacted to schedule an interview.