Design and validate rigorous, multi-step computational life sciences tasks that test whether AI agents can inspect scientific data, write and run code, troubleshoot workflows, and produce verifiable results.
Mathematics Subject Matter Expert (AI Training)
📜 Description
- Solve and evaluate advanced problems across pure and applied mathematics.
- Write rigorous proofs, derivations, technical explanations, and analytical solutions.
- Assess AI-generated solutions for correctness, clarity, completeness, and logical reasoning.
- Identify errors in AI outputs and provide actionable feedback to improve model performance.
- Create mathematical datasets, annotations, training content, and benchmark materials.
- Document methodologies and communicate mathematical concepts to technical and non-technical audiences.
🛠️ Requirements
- 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.
Full 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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