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 pioneering projects that involve fine-tuning large language models, utilizing strong analytical skills and deep expertise in physics. The ideal candidate will have a solid foundation in physics, ranging from advanced engineering entrance concepts to graduate and PhD-level knowledge, with the ability to simplify complex phenomena through clear, step-by-step reasoning. This position plays a key role in identifying model limitations while gaining experience with cutting-edge AI tools to enhance career growth.
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:
- Educational background or Doctorate in Physics, Applied Physics, or a closely related technical field.
- Strong analytical, research, and problem-solving skills combined with excellent English comprehension.
- Exceptional structured written communication skills, with the ability to provide constructive feedback and detailed annotations in a remote work environment.
- Demonstrated 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 setting.
- Access to a personal desktop or laptop with a stable, high-speed internet connection.
Preferred Qualifications and Benefits:
- Experience in AI evaluation, data annotation, content review, quality assurance, or related analytical roles is advantageous but not mandatory.
- Commitment of at least 4 hours per day, up to 40 hours per week, with 4 hours overlapping Pacific Standard Time (PST).
- Engagement type is contractor-based with a duration of 12 weeks.
Candidates who are shortlisted will receive a Job Interest Form as the next step in the evaluation process. Final selected candidates will be contacted with further instructions, including onboarding details. This role provides a unique opportunity to contribute to setting new standards in AI capabilities within the physical sciences domain while working remotely with a global team.