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
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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 23 times per week) to refine reasoning approaches review agent outputs and iterate on dataset improvements.
Requirements
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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 2030 hours per week including required synchronous collaboration sessions.
Why Join
-
Work directly with a world-class AI research lab building the reasoning capabilities behind tomorrows 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 2030 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.
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 foundati...
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 23 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 2030 hours per week including required synchronous collaboration sessions.
Why Join
-
Work directly with a world-class AI research lab building the reasoning capabilities behind tomorrows 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 2030 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.
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