Weekday, Inc. Logo

Weekday, Inc.

Mathematics Subject Matter Expert (AI Training)

Reposted 12 Days Ago
Remote
Hiring Remotely in United States
20-40 Hourly
Mid level
Remote
Hiring Remotely in United States
20-40 Hourly
Mid level
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.
The summary above was generated by AI

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.
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

Similar Jobs

3 Hours Ago
Remote
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead equipment engineering for assembly manufacturing to improve safety, quality, reliability, productivity and cost. Drive equipment strategy, lifecycle management, automation, Lean/Six Sigma improvements, and AI-enabled predictive maintenance and analytics. Build team capability, deploy Industry 4.0 solutions, and partner across functions to meet OEE, downtime, and productivity targets.
Top Skills: AIApcCopilot TechnologiesData AnalyticsDigital TwinFdcGenerative AiIndustry 4.0Intelligent AutomationIotMachine LearningManufacturing IntelligenceMesPredictive MaintenanceSpcStatistical Process Control
9 Hours Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Leads end-to-end QA and testing for global o9 EOP and enterprise transformation programs. Owns test strategy, governance, SIT, UAT, regression, performance testing, automation, defect management, reporting, UAT sign-offs, and go-live readiness. Uses Selenium and TOSCA to build reusable automated testing assets, coordinates distributed stakeholders and vendors, manages risk-based coverage, and mentors testing teams across regional deployments.
Top Skills: Azure DevopsCi/CdDevsecopsHp AlmJIRAO9 Enterprise Operations PlanningSAPSap IbpSap S/4HanaSeleniumTricentis ToscaZephyr
18 Hours Ago
In-Office or Remote
Senior level
Senior level
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

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account