Remote contractor role to create and evaluate mathematical problems, proofs, and datasets to train and improve AI models. Assess AI-generated solutions for correctness, produce technical documentation, and collaborate with cross-functional teams to develop benchmark datasets and provide actionable feedback to improve model reasoning.
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.
RequirementsKey ResponsibilitiesMathematical 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.
- 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
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Develop and maintain statistical and ML forecasting models for SKU-level demand using Python/PySpark and Databricks; analyze model performance (MAPE/bias), post-process outputs, collaborate with demand planners for explainability, produce dashboards and KPIs, and drive continuous improvement in forecasting and data models.
Top Skills:
DatabricksGoogle AdwordsGoogle AnalyticsGoogle Cloud PlatformGoogle Tag ManagerJuliaExcelPower BIPysparkPythonRSASSQLTableau
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead the Help Center product roadmap to increase automation rate and CSAT by building AI-powered search, personalized article experiences, and self-service workflows. Partner with ML, engineering, CX ops, content, and data science to maintain global knowledge, define funnel metrics, and integrate chat/agent tooling and third-party vendors to deflect contacts and proactively resolve issues.
Top Skills:
Ai/MlCmsContentfulFreshdeskGenerative AiLlmRagSalesforceZendesk
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage a portfolio of mid-market customers in India: develop and execute account/territory plans, identify and qualify opportunities, expand usage and cross-sell, run demos, build strong client relationships, coordinate internal teams and channel partners, report progress, provide product feedback, and travel occasionally for client and team events.
Top Skills:
ConfluenceCRMJira Service ManagementJira Software
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


.png)
