Scientific Coding - Maths and Python

About Turing:

Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L

Role Overview:

We are seeking highly specialized Subject Matter Experts (SMEs) in Physics, Chemistry,  Mathematics, and Biology to join an intensive scientific coding project. The primary objective is to  create computationally intensive task prompts designed to rigorously evaluate and challenge the  capabilities of advanced AI models, specifically Claude Opus 4.5.

This is a high-impact project where experts will craft complex scientific problems that require the AI  model to generate Python code capable of producing precise, verifiable numerical results. The goal  is to push the boundaries of what AI can accomplish in scientific computing and identify areas  where current models fall short.

Responsibilities:

As a Scientific Computing SME, you will create advanced task prompts that challenge AI models to  write scientific Python code. The workflow is as follows:

1. Select a Domain: Choose from Physics, Chemistry, Mathematics, or Biology based on your  expertise

2. Select a Subdomain: Narrow down to a specific area within your chosen domain (e.g.,  Quantum Mechanics, Organic Chemistry, Numerical Analysis, Genomics)

3. Create a Task Prompt: Write a detailed, computationally intensive problem that requires the  AI to generate Python code to solve it

4. Define Ground Truth: Specify the expected numerical answer with precision (up to 3  significant digits or 3 decimal places)

5. Ensure Diversity: Create questions across different topics—repetition of similar problems is  not allowed

Every task prompt you create must meet these criteria:

• Computationally Intensive: Problems should require significant computational effort— numerical simulations, iterative algorithms, complex calculations, or large-scale data  processing

• Python Code Output: The AI model must write Python code as the solution, using scientific  libraries (NumPy, SciPy, SymPy, etc.)

• Precise Ground Truth: The final answer must be a specific numerical value expressed to 3  significant digits or 3 decimal places (e.g., "The final energy is 2.47 × 10⁻³ J" or "The  concentration is 0.0342 M")

• Model-Breaking Difficulty: Questions should be challenging enough to potentially "break"  or expose limitations in Claude Opus 4.5

• Self-Contained: All necessary constants, parameters, boundary conditions, and constraints  must be provided within the prompt

• Verifiable: The solution must be objectively verifiable against the ground truth answer

Required Qualifications:

• PhD in  Mathematics or a closely related field (Preferred) • Master's Degree with a minimum of 2 years of research or industry experience in  computational/scientific work may be considered
• Strong proficiency in Python for scientific computing
• Experience with scientific libraries: NumPy, SciPy, SymPy, Pandas, Matplotlib • Understanding of numerical methods, algorithms, and computational complexity • Ability to design problems with precise, verifiable numerical outcomes

Perks of Freelancing With Turing:

• Work in a fully remote environment.
• Opportunity to work on cutting-edge AI projects with leading LLM companies.
• Potential for contract extension based on performance and project needs.

Offer Details:

• Commitments Required : At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours 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 : 5 weeks; [expected start date is next week]