This opportunity is shared as part of a referral program
Mercor is hiring mathematicians on behalf of a leading AI Lab developing advanced agents AI systems capable of complex reasoning, planning, and autonomous problem-solving. This is a unique opportunity to work directly with world-class AI researchers and engineers, contributing the mathematical foundations that power next-generation intelligent agents.
Responsibilities
* Develop rigorous mathematical tasks, proofs, and structured reasoning datasets used to train and evaluate agentic AI models.
* Analyze model reasoning steps to identify logical weaknesses, conceptual gaps, and opportunities for improved mathematical understanding.
* Collaborate closely with research teams to design multi-step problem-solving pipelines, evaluation benchmarks, and reasoning curricula.
* Create high-quality annotations, explanations, and walkthroughs that teach models how to solve mathematical problems step-by-step.
* Support model training efforts by constructing mathematical tests for generalisation, abstraction, deductive reasoning, and symbolic manipulation.
* Work with engineers to integrate mathematical constraints, verification tools, and logic-based checks into agent workflows.
* Participate in synchronous collaboration sessions (4-hour windows, 2–3 times per week) to refine reasoning approaches, review agent outputs, and iterate on dataset improvements.
Requirements
* Strong background in Mathematics, Applied Mathematics, Theoretical Computer Science, or a closely related quantitative discipline.
* Deep understanding of core mathematical fields: algebra, calculus, probability, combinatorics, optimization, logic, or number theory.
* Demonstrated problem-solving ability through research, olympiads/competitions, teaching, or advanced coursework.
* Ability to break complex problems into clear, structured steps suitable for model learning and reasoning supervision.
* Familiarity with AI reasoning models, LLMs, or agentic AI concepts is a strong plus.
* Comfort working with Python for inspecting model outputs, running experiments, or generating mathematical datasets.
* Excellent collaboration and communication skills.
* Ability to commit 20–30 hours per week, including required synchronous collaboration sessions.
Why Join
* Work directly with a world-class AI research lab building the reasoning capabilities behind tomorrow’s autonomous agent ecosystems.
* Influence how advanced AI systems learn mathematics, apply logic, and develop reliable multi-step reasoning abilities.
* Enjoy schedule flexibility — select your own 4-hour collaboration windows and manage your 20–30 hour work week.
* Be engaged as an hourly contractor through Mercor, giving you autonomy while contributing to mission-critical agent reasoning projects.
* Collaborate with top mathematicians, researchers, and AI developers working at the intersection of formal reasoning and advanced intelligence.
* Join a global network of technical experts shaping how the next generation of AI agents think, solve problems, and evolve at scale.