Remote Mathematics Expert

Turing is a rapidly growing AI company focused on advancing and deploying powerful AI systems. The company collaborates with leading AI labs to push the boundaries of model capabilities in areas such as reasoning, coding, multimodality, multilinguality, STEM, and frontier knowledge. These advancements are then applied to develop real-world AI solutions that address critical business challenges. This role offers an exciting opportunity to work on fine-tuning large language models by applying strong analytical and mathematical skills. The ideal candidate will have a solid foundation in mathematics, ranging from advanced engineering entrance concepts to graduate and PhD-level topics, and the ability to deconstruct complex problems into clear, logical steps. You will contribute directly to identifying model limitations and gain hands-on experience with cutting-edge AI tools to enhance your career prospects.

Key Responsibilities:
- Problem Creation & Solutioning: Design and solve challenging physics problems that push the limits of large language models.
- Authoring Gold-Standard Data: Develop clear, high-quality, step-by-step solutions with detailed reasoning to serve as benchmark data.
- Research Collaboration: Partner with LLM researchers to align task designs with evaluation objectives, focusing on areas where models typically struggle, such as symbolic manipulation, abstraction, and multi-step reasoning.
- Benchmark Definition: Assist in defining and building new evaluation benchmarks covering physics curricula from early undergraduate to PhD-level topics.

Required Qualifications:
- Strong analytical, research, and problem-solving skills with excellent English comprehension.
- Exceptional structured written communication skills, capable of providing constructive feedback and detailed annotations in a remote work environment.
- Ability to think laterally and creatively to construct novel scenarios and evaluate complex reasoning pathways.
- Self-motivated and able to work independently in a fast-paced, remote-first setting.
- Access to a personal desktop or laptop with a stable, high-speed internet connection.
- Educational background or Doctorate in Mathematics or an equivalent technical field.

Preferred Qualifications and Benefits:
- Experience in AI evaluation, data annotation, content review, quality assurance, or related analytical roles is preferred but not mandatory.
- The role requires a commitment of at least 4 hours per day, up to 40 hours per week, with a minimum of 4 hours overlapping with Pacific Standard Time (PST).
- This is a contractor position with an engagement length of 12 weeks.

Evaluation Process:
Shortlisted candidates will receive a Job Interest Form to complete. Those selected for final consideration will be contacted with further steps, including onboarding details.

This position offers a unique chance to contribute to the forefront of AI research while developing expertise in evaluating and enhancing large language models within the domain of advanced physical sciences.