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Role OverviewRemote contract for PhDs in Mathematics, Statistics, or related fields. Work on cutting-edge projects with top AI labs while earning upto $150/hr, fully remote, with flexible weekly hours.We seek mathematics researchers with advanced analytical skills to design, test, and refine math problem sets for evaluating and improving large language models (LLMs). Your work directly enhances how AI solves multi-step reasoning and logic problems.ResponsibilitiesCreate advanced math challenges (e.g., combinatorics, linear algebra, logic reasoning)Evaluate AI-generated solutions for accuracy and reasoning qualityRefine benchmarks in collaboration with global math researchersPrepare reports and publish results in academic venuesCandidate ProfilePhD (pursuing or completed) in Mathematics, Applied Mathematics, Statistics, or relatedStrong mathematical reasoning and problem-solving skillsExperience in academic research and technical writingClear, concise communicationable to give structured feedbackCompensation & ContractCompensation: $50$150 per hour, based on skills and experience. (paid once every two weeks).Duration: 1 week to 3 months (project-based; extension possible).Hours: Up to 30 hrs/week.Time Zone: 25 hrs/day overlap with UTC-8 (America/Los_Angeles), confirmed near onboarding.The evaluation and onboarding process takes just 8090 minsWhy Work with Turing?Collaboration: Work alongside global experts and leading AI labs.Remote: Remote-first role with weekly hour options tailored to your schedule.Career Growth: Gain exposure to cutting-edge AI research and future-proof your career at the intersection of physics and artificial intelligence.Opportunity: High-performing contributors may receive contract extensions and invitations to additional AI research projects.About TuringTuring is one of the worlds fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.Turing helps customers in two ways: Working with the worlds leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. #J-18808-Ljbffr