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Mathematics Subject Matter Expert (AI Training)

Role overview

Qualifications

  • 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.

Responsibilities

  • Review, solve, and evaluate advanced mathematical problems across pure and applied mathematics.
  • Assess AI-generated mathematical solutions for correctness, clarity, completeness, and logical reasoning.
  • Create high-quality mathematical datasets, annotations, and domain-specific training content for AI model development.
  • Collaborate remotely with cross-functional teams and subject matter experts across various mathematical disciplines.

Key facts

  • Remote from: India
  • Fixed term
  • 0
  • English

Other skills

  • Mathematics
  • Problem Solving
  • Research
  • Analytical Thinking
  • Virtual Collaboration
  • Communication
  • Collaboration

About the company

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Weekday (YC W21)

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Company details

Company size11 - 50

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Job description

This role is for one of our clients

$20 - $40/hourpay

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.

Requirements

Key Responsibilities

Mathematical Analysis & Problem Solving

  • 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.

AI Model Evaluation

  • 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.

Content Development

  • 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.

Collaboration & Knowledge Sharing

  • 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.

Required Skills & Qualifications

  • 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.

Preferred Qualifications

  • 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.

Must-Have Skills

  • Mathematics
  • Mathematical Reasoning
  • Problem Solving
  • Technical Writing

Good-to-Have Skills

  • Applied Mathematics
  • Research & Publications
  • Mathematical Proofs
  • Data Annotation
  • Analytical Thinking
  • Remote Collaboration

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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