Turing, headquartered in San Francisco, California, is a leading research accelerator for frontier AI laboratories and a trusted partner for global enterprises deploying advanced AI systems. The company supports its customers by accelerating cutting-edge research through high-quality data, advanced training pipelines, and a team of top AI researchers specializing in coding, reasoning, STEM, multilinguality, multimodality, and agents. Additionally, Turing helps enterprises transition AI from proof of concept into reliable, proprietary intelligence systems that deliver measurable business impact and lasting results.
Key Responsibilities:
- Design original and challenging mathematics problems that push the reasoning capabilities of large language models, focusing on multi-step, abstract, and proof-based settings.
- Independently solve complex problems and produce detailed, logically structured solutions with clear justifications.
- Review model-generated solutions to identify mathematical errors or missing arguments, providing precise feedback, annotations, and corrections.
- Contribute to the development of new evaluation benchmarks aligned with Mathematics curricula ranging from early undergraduate to PhD-level topics.
- Develop and validate Python-based solutions for computational tasks using approved scientific libraries.
- Work on theorem-prover tasks using Lean, including translating mathematical problems and proofs into formal language and verifying that formal proofs compile correctly.
- Apply advanced mathematical reasoning, problem-solving, computational thinking, and clear written communication to improve and evaluate large language models.
- Design precise, closed-ended prompts, write reliable Python code, verify numerical answers, and provide clear rationales.
- Leverage AI tools to enhance analytical skills and future-proof your career in an AI-driven world.
Required Qualifications:
- Strong foundation in mathematics, at a level comparable to engineering entrance exams and graduate or PhD-level programs.
- Excellent research and analytical skills with the ability to provide constructive feedback and detailed annotations.
- Creative and lateral thinking abilities to approach problems innovatively.
- Exceptional structured communication and collaboration skills, especially in a remote work environment.
- Self-motivated and capable of working independently with a reliable desktop or laptop and a stable internet connection.
Preferred Qualifications and Benefits:
- Candidates pursuing or holding a Master’s, PhD, or Postdoctoral degree in Mathematics, Applied Mathematics, Statistics, or related fields are encouraged to apply.
- Ability to analyze and solve complex mathematical problems using a structured and logical approach.
- Skill in explaining mathematical concepts clearly using simple language, visuals, and examples.
Freelancing Perks:
- Fully remote work environment offering flexibility and autonomy.
- Opportunity to engage with cutting-edge AI projects alongside leading large language model companies.
- Potential for contract extension based on performance and project requirements.
Offer Details:
- Commitment of at least 4 hours per day and a minimum of 20 hours per week, with a required 4-hour overlap with Pacific Standard Time (PST). Options for 20, 30, or 40 hours per week are available.
- Engagement as a contractor/freelancer without medical or paid leave benefits.
This role offers a unique opportunity to contribute to frontier AI research while developing your expertise in mathematics and computational problem-solving within a dynamic, remote-first environment.