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
Build and evolve Atlassian’s central Micros platform services, improving reliability, observability, deployment, operations, and developer experience at massive scale. Support the transition from AWS to multi-cloud infrastructure involving GCP and Kubernetes. Collaborate with platform and product teams across Australia and India and contribute to major platform engineering initiatives across Core Engineering.
Top Skills:
AWSCloud InfrastructureGCPKubernetesMicroservicesMulti-CloudPlatform-As-A-Service (Paas)
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a distributed engineering team within Atlassian’s Jira Service Management IT Operations organization. Drive high-quality software delivery, architecture, reliability, and customer-facing product development for large-scale cloud services. Partner with Product and Design on roadmaps and outcomes, remove blockers, establish goals and metrics, and coach engineers and emerging leaders while fostering an inclusive, high-performing culture.
Top Skills:
Agentic WorkflowsAutomated TestingCloud ComputingDistributed SystemsItomItsmJira Service ManagementMicroservicesSaaS
Cloud • Information Technology • Security • Software
Lead complex, cross-functional software engineering initiatives for JumpCloud’s device management platform. Responsibilities include architecture, technical strategy, solution design, development of highly available and performant services, requirements discovery, collaboration with product and UX teams, mentoring engineers, and driving projects across multiple teams. The role requires deep expertise in device management across major operating systems, cloud platforms, distributed systems, microservices, databases, Kubernetes, and CI/CD.
Top Skills:
AndroidApple Push Notification ServiceAWSAzureCi/CdDatabasesDistributed SystemsGCPGithub ActionsGoiOSJavaKubernetesLinuxmacOSMicroservicesSaaSTypescriptWindows
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
