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.
In this role, you will engage in cutting-edge projects aimed at fine-tuning large language models by applying your strong analytical skills and deep understanding of mathematics. The ideal candidate will have a solid foundation in mathematics, ranging from advanced engineering entrance levels to graduate and PhD-level concepts. You will be responsible for breaking down complex phenomena into clear, step-by-step reasoning, directly contributing to identifying model limitations and leveraging advanced AI tools to enhance your expertise and future-proof your 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 and well-articulated reasoning.
- Research Collaboration: Partner with LLM researchers to ensure task designs align 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 with excellent English comprehension.
- Exceptional structured written communication skills, including the ability to provide constructive feedback and detailed annotations in a remote work environment.
- Strong lateral thinking and creative problem-solving abilities to develop novel scenarios and evaluate complex reasoning pathways.
- Self-motivated and capable of working independently in a fast-paced, remote-first setup.
- 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.
- Flexible commitment of at least 4 hours per day, up to 40 hours per week, with a requirement of 4 hours overlap with Pacific Standard Time (PST).
- Engagement type is contractor-based with a duration of 12 weeks.
Evaluation Process:
Shortlisted candidates will be invited to complete a Job Interest Form. Those selected for final consideration will be contacted with further steps, including onboarding procedures.
This position offers a unique opportunity to work at the forefront of AI research and development, contributing to the advancement of AI capabilities in physical sciences while developing your own expertise in a dynamic, remote work environment.