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
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Own the technical evolution and architecture of Jira Data Management, leading enterprise-scale data movement, governance, resilience, and data health initiatives. Define long-term platform roadmaps, lead major architectural programs, and improve reliability, performance, observability, security, and operational excellence. Provide hands-on technical leadership through design reviews, investigations, incident reviews, and complex problem solving while mentoring senior and principal engineers.
Top Skills:
AWSGCPGoJavaJavaScriptJIRAPython
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead full-cycle recruiting for senior technical and GTM roles in India, partner with senior leaders to design data-driven sourcing strategies, adopt AI-powered tools, manage hiring metrics, negotiate offers, and support regional APAC initiatives.
Top Skills:
Advanced Automation ToolsAi-Driven Sourcing PlatformsAi-Powered ToolsAWSDynatraceDynatrace IntelligenceGenerative AiGCPMicrosoft
.png){kind=logo}
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Leads global paid media strategy, budgeting, campaign execution, audience targeting, attribution, incrementality testing, and marketing mix modeling. Manages agency and platform relationships, affiliate programs, performance reporting, experimentation, and emerging ad formats. Builds and mentors a remote team while partnering with Data, Engineering, Product, Finance, and Legal to optimize CAC, ROAS, LTV, and profitability.
Top Skills:
A/B TestingApple Search AdsAttributionDv360Ga4Google AdsIncrementality TestingLookerMarketing Mix ModelingMeta AdsPmaxTiktok Ads ManagerUac
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
