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 the opportunity to work on cutting-edge projects aimed at fine-tuning large language models, leveraging strong analytical and mathematical expertise. 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 break down complex problems into clear, logical steps. This position involves probing model limitations and utilizing frontier AI tools to build a future-proof career.

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, well-articulated reasoning.
- Research Collaboration: Partner with LLM researchers to align task designs with evaluation goals, focusing on areas where models face difficulties, such as symbolic manipulation, abstraction, and multi-step reasoning.
- Benchmark Definition: Assist in defining and building new evaluation benchmarks across physics curricula, covering topics from early undergraduate to PhD levels.

Required Qualifications:
- Strong analytical, research, and problem-solving skills, coupled with excellent English comprehension.
- Exceptional structured written communication skills, with the ability to provide constructive feedback and detailed annotations in a remote work environment.
- Strong lateral thinking abilities to create novel scenarios and evaluate complex reasoning pathways.
- Self-motivated and capable of working independently in a fast-paced, remote-first setup.
- 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.
- 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).
- Engagement type is contractor-based, with a contract length of 12 weeks.
- The evaluation process includes submission of a Job Interest Form for shortlisted candidates, followed by communication of next steps and onboarding details for final selections.

This role is ideal for individuals passionate about advancing AI capabilities in physical sciences and eager to contribute to pioneering research and development in a dynamic, remote work environment.