Mathematics Subject Matter Expert (AI Training)

- Review, solve, and evaluate advanced mathematical problems across pure and applied mathematics. - Develop accurate, well-structured mathematical proofs, derivations, technical explanations, and analytical solutions. - Ensure mathematical rigor, precision, and logical consistency in all deliverables.

- Assess AI-generated mathematical solutions for correctness, clarity, completeness, and logical reasoning. - Identify errors, inconsistencies, or gaps in AI outputs and provide actionable feedback to improve model performance. - Validate mathematical reasoning against established theories and best practices.

- Create high-quality mathematical datasets, annotations, and domain-specific training content for AI model development. - Produce clear technical documentation and structured explanations covering a wide range of mathematical concepts. - Contribute to benchmark datasets used for evaluating AI reasoning capabilities.

- Collaborate remotely with cross-functional teams and subject matter experts across various mathematical disciplines. - Communicate complex mathematical concepts effectively to both technical and non-technical audiences. - Document methodologies, findings, and recommendations in a clear and organized manner.

- Bachelor's, Master's, or PhD in Mathematics, Applied Mathematics , or a closely related discipline. - Strong knowledge of pure and applied mathematics. - Experience writing mathematical proofs, research papers, technical reports, or analytical documentation. - Ability to evaluate mathematical reasoning with a high degree of accuracy and rigor. - Excellent analytical, critical thinking, and problem-solving skills. - Strong written and verbal communication skills with attention to detail. - Ability to work independently in a fully remote environment while managing deliverables effectively.

- Experience reviewing or critiquing mathematical proofs, computational methods, or technical analyses. - Familiarity with current research trends, emerging applications, or open problems in mathematics. - Experience translating complex mathematical concepts into clear, understandable explanations for diverse audiences. - Exposure to mathematical modeling, computational mathematics, or applied research is an advantage.

- Mathematics - Mathematical Reasoning - Problem Solving - Technical Writing

- Applied Mathematics - Research & Publications - Mathematical Proofs - Data Annotation - Analytical Thinking - Remote Collaboration Key Responsibilities

• Review, solve, and evaluate advanced mathematical problems across pure and applied mathematics.
• Develop accurate, well-structured mathematical proofs, derivations, technical explanations, and analytical solutions.
• Ensure mathematical rigor, precision, and logical consistency in all deliverables.

• Assess AI-generated mathematical solutions for correctness, clarity, completeness, and logical reasoning.
• Identify errors, inconsistencies, or gaps in AI outputs and provide actionable feedback to improve model performance.
• Validate mathematical reasoning against established theories and best practices.

• Create high-quality mathematical datasets, annotations, and domain-specific training content for AI model development.
• Produce clear technical documentation and structured explanations covering a wide range of mathematical concepts.
• Contribute to benchmark datasets used for evaluating AI reasoning capabilities.

• Collaborate remotely with cross-functional teams and subject matter experts across various mathematical disciplines.
• Communicate complex mathematical concepts effectively to both technical and non-technical audiences.
• Document methodologies, findings, and recommendations in a clear and organized manner.

• Bachelor's, Master's, or PhD in Mathematics, Applied Mathematics , or a closely related discipline.
• Strong knowledge of pure and applied mathematics.
• Experience writing mathematical proofs, research papers, technical reports, or analytical documentation.
• Ability to evaluate mathematical reasoning with a high degree of accuracy and rigor.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills with attention to detail.
• Ability to work independently in a fully remote environment while managing deliverables effectively.

• Experience reviewing or critiquing mathematical proofs, computational methods, or technical analyses.
• Familiarity with current research trends, emerging applications, or open problems in mathematics.
• Experience translating complex mathematical concepts into clear, understandable explanations for diverse audiences.
• Exposure to mathematical modeling, computational mathematics, or applied research is an advantage.

• Mathematics
• Mathematical Reasoning
• Problem Solving
• Technical Writing

• Applied Mathematics
• Research & Publications
• Mathematical Proofs
• Data Annotation
• Analytical Thinking
• Remote Collaboration This role is for one of our clients

Role Title: Mathematics Subject Matter Expert (AI Training) Role Type: Contractor Location: Remote

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.