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Math Educator - Remote - AI Trainer - Job Opportunity at Outlier AI

Reading, GB
Contract
Senior
Posted: March 18, 2025
Remote
USD 30-50 per hour

Benefits

Flexible remote work schedule
Project-based incentive payments
Professional development in AI sector
Exposure to cutting-edge AI technology

Key Responsibilities

Evaluate and assess AI model outputs for mathematical accuracy and relevance
Develop and review mathematical content for AI training
Provide expert feedback on AI-generated mathematical solutions
Contribute to improving AI model performance through domain expertise
Create and validate mathematical questions for AI training

Requirements

Education

Master's degree or higher in Mathematics or related field

Experience

Professional experience in mathematics

Required Skills

Mathematical expertise Clear written communication in English AI model evaluation Domain-specific content creation Mathematical content assessment
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Sauge AI Market Intelligence

Industry Trends

The intersection of AI and mathematics education is experiencing rapid growth, with increasing demand for subject matter experts to validate and improve AI model outputs. There's a growing trend of AI companies seeking academic expertise to ensure the accuracy and reliability of their mathematical content generation. The role represents a new category of specialized AI training positions that leverage deep subject matter expertise, indicating an emerging job market at the intersection of academia and AI.

Salary Evaluation

The hourly rate of $30-50 USD is competitive for remote academic consulting work, though rates can vary significantly based on specific expertise and project scope. PhD holders can expect higher compensation, potentially reaching $60-75 per hour for specialized projects.

Role Significance

Likely part of a distributed team of subject matter experts working independently but contributing to shared AI training objectives.
Senior subject matter expert position requiring advanced degree and professional experience, serving as a critical quality control point for AI model development.

Key Projects

AI model validation for mathematical accuracy Development of training datasets for mathematical reasoning Quality assurance for AI-generated mathematical content Creation of assessment criteria for mathematical AI outputs

Success Factors

Deep understanding of mathematical concepts and ability to explain them clearly Ability to identify subtle errors or inaccuracies in AI-generated content Strong analytical skills and attention to detail Flexibility to adapt to evolving AI capabilities and requirements Effective written communication skills for providing detailed feedback

Market Demand

High demand with growing opportunities as more AI companies focus on mathematical capabilities and educational applications.

Important Skills

Critical Skills

Advanced mathematical knowledge with ability to identify subtle conceptual errors Clear communication skills for providing detailed feedback Understanding of AI model behavior and limitations Ability to evaluate and improve mathematical content systematically

Beneficial Skills

Experience with educational technology Understanding of machine learning concepts Project management skills Experience in content creation or curriculum development

Unique Aspects

Opportunity to influence AI development in mathematics education
Flexible work arrangement with potential for long-term project involvement
Direct impact on improving AI model accuracy in mathematical applications
Bridge role between academic expertise and practical AI development

Career Growth

6-12 months to establish expertise in AI training, with potential for advancement into leadership roles within 1-2 years

Potential Next Roles

AI Training Team Lead Mathematical Content Strategy Manager AI Education Specialist Technical AI Trainer Lead

Company Overview

Outlier AI

Outlier AI focuses on improving AI models through human feedback, positioning itself at the intersection of education, technology, and artificial intelligence.

Emerging player in the AI training and validation space, working with innovative companies to improve their AI models.
Global remote operations with strong presence in English-speaking markets.
Flexible, remote-first environment emphasizing expertise and quality contribution over traditional work structures.
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