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AI Training Mathematics Expert - Job Opportunity at Outlier AI

Remote, United States
Contract
Senior
Posted: March 20, 2025
Remote
USD 30-50 per hour

Benefits

Flexible remote work arrangements
Performance-based incentive opportunities
Exposure to cutting-edge AI development
Collaboration with industry leaders like OpenAI and Meta
Professional development through AI training experience

Key Responsibilities

Evaluate and validate AI-generated mathematical content for accuracy and relevance
Develop comprehensive mathematics training materials and test cases for AI models
Assess AI response quality using scientific methodology and mathematical rigor
Contribute to advancing AI understanding of complex mathematical concepts
Participate in iterative model improvement processes

Requirements

Education

Master's degree or higher (PhD preferred) in Mathematics or related field

Experience

Research experience with peer-reviewed publications preferred

Required Skills

Advanced mathematics expertise Scientific writing proficiency English language fluency Research methodology Critical analysis Technical documentation
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Sauge AI Market Intelligence

Industry Trends

The AI training data market is experiencing rapid growth, with increasing demand for specialized mathematical expertise to improve model accuracy. There is a growing trend of AI companies seeking academic experts to validate and improve their models' mathematical reasoning capabilities. The intersection of mathematics and AI is becoming a critical focus area as models tackle more complex analytical tasks.

Salary Evaluation

USD 80,000-120,000 annually (based on full-time equivalent)

Role Significance

Likely part of a distributed team of 5-10 subject matter experts working on specialized mathematical content
Senior individual contributor role with significant impact on AI model development and accuracy

Key Projects

AI model training for advanced mathematical reasoning Development of mathematical validation frameworks Creation of specialized training datasets for mathematical problems Quality assurance for AI-generated mathematical content

Success Factors

Deep understanding of both theoretical and applied mathematics Ability to break down complex mathematical concepts for AI training Strong attention to detail in validation and verification Effective communication of mathematical concepts Adaptability to evolving AI capabilities

Market Demand

High and increasing, particularly as AI models expand into more complex mathematical reasoning tasks

Important Skills

Critical Skills

Advanced mathematics expertise is fundamental for ensuring AI model accuracy and reliability Research experience provides necessary methodological rigor Clear communication skills are essential for effective knowledge transfer to AI systems

Beneficial Skills

Understanding of AI/ML concepts enhances contribution effectiveness Experience with technical documentation improves training material quality Knowledge of educational pedagogy can improve AI learning outcomes

Unique Aspects

Direct involvement in shaping advanced AI capabilities
Intersection of academic mathematics and practical AI applications
Opportunity to influence major AI models' mathematical reasoning
Flexible work arrangement with leading tech companies

Career Growth

12-24 months for advancement to team lead or specialized roles

Potential Next Roles

AI Training Team Lead Mathematical AI Specialist AI Model Validation Manager AI Research Scientist

Company Overview

Outlier AI

Outlier AI has positioned itself as a crucial bridge between academic expertise and commercial AI development, with a significant network of over 100,000 contributors

Leading position in expert-driven AI training with partnerships with major tech companies
Global remote workforce with strong US market focus
Remote-first environment emphasizing academic expertise and professional collaboration
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