Mathematicians

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.