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
Artificial Intelligence • Cloud • Software
Own end-to-end statutory accounting for international entities, lead monthly/quarterly close, ensure statutory compliance and audit readiness, implement SOX-aligned controls, drive process improvements and automation, mentor accounting staff, support M&A, treasury, FX, and cross-functional initiatives.
Top Skills:
AIErpNetSuite
Artificial Intelligence • Cloud • Software
Lead day-to-day bookkeeping and ledger maintenance for international entities in NetSuite; prepare monthly journals, reconciliations, payroll and intercompany entries; support AP/AR, tax (WHT), audit preparation, and statutory/US GAAP reporting; own key schedules (accruals, fixed assets, leases, FX); drive process improvements and AI-led automation for close, reconciliations, and audit support.
Top Skills:
AIExcelNetSuite
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead a 4–7 person engineering team to build AI-first GTM systems including LLM orchestration, agentic pipelines, Salesforce integrations, and AWS event-driven services. Hands-on manager contributing to architecture, code reviews, hiring, career development, reliability, observability, responsible AI practices, and cross-functional GTM partnerships to turn business needs into scalable engineering roadmaps.
Top Skills:
Anthropic ApiApi GatewayAuroraAws LambdaCloudwatchEventbridgeIamJavaScriptLangchainLanggraphLlm FrameworksModel Context ProtocolMulesoftNode.jsOpenai ApiPythonRdsReactS3Salesforce Bulk ApiSalesforce Cpq (Steelbrick)Salesforce FlowSalesforce Platform EventsSalesforce Rest ApiSalesforce Streaming ApiSlack ApiSnsSOQLSqsTypescriptWorkato
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute


