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, 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 involving the fine-tuning of large language models, utilizing strong analytical skills and a deep understanding of mathematics. The ideal candidate will have a solid foundation in mathematics, ranging from advanced engineering entrance levels to graduate and PhD concepts, and the ability to deconstruct complex problems into clear, logical steps. This position involves probing model limitations and leveraging state-of-the-art AI tools, providing a unique chance to future-proof your career in the AI domain.
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 and articulation.
- 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 covering physics curricula from early undergraduate to PhD-level topics.
Required Qualifications:
- Strong analytical, research, and problem-solving skills with excellent English comprehension.
- Exceptional written communication skills, capable of providing structured, constructive feedback and detailed annotations in a remote work environment.
- Advanced lateral thinking abilities to create 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 in Mathematics or an equivalent technical field, preferably at the graduate or doctoral level.
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.
- The role offers exposure to frontier AI research and the chance to contribute directly to setting benchmarks in advanced physical sciences.
Candidates who are shortlisted will receive a Job Interest Form as the initial step in the evaluation process. Final selected candidates will be contacted with further instructions, including onboarding details. This opportunity is ideal for individuals seeking to apply their mathematical expertise in a dynamic AI environment while contributing to pioneering advancements in large language model capabilities.