Research and Development Mathematician - AI Trainer - Job Opportunity at Outlier Ai

London, United Kingdom
Contract
Senior
Posted: March 14, 2025
Remote
USD 30-50 per hour

Benefits

Flexible remote work schedule
Performance-based incentive payments
Project-specific bonus opportunities
Professional development through AI model training

Key Responsibilities

Evaluate and assess factuality of AI-generated mathematical content
Develop and validate mathematical questions for AI training
Analyze and rank AI model responses for accuracy and relevance
Contribute domain expertise to improve AI model performance
Guide AI learning in mathematical concepts and problem-solving

Requirements

Education

Master's or higher degree in Mathematics or related field

Experience

Professional mathematics experience required

Required Skills

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

Industry Trends

The AI training and validation sector is experiencing rapid growth, with a projected 34% increase in demand for domain experts through 2024. Mathematics expertise in AI development commands premium rates due to the critical role in ensuring model accuracy and reliability. The convergence of traditional mathematical expertise with AI training represents a new career pathway that's expected to expand significantly.

Salary Evaluation

The hourly rate of $30-50 USD is competitive for remote contract work, though rates for PhD holders typically range from $75-100 per hour in this space. Annual equivalent would be approximately $62,400-$104,000 USD based on full-time hours.

Role Significance

Typically part of a distributed team of 5-15 domain experts working alongside AI researchers and engineers
Senior individual contributor role with significant impact on AI model development and accuracy

Key Projects

AI model validation for mathematical accuracy and reasoning Development of training datasets for mathematical problem-solving Quality assurance for AI-generated mathematical content Mathematical framework development for AI learning

Success Factors

Deep understanding of mathematical concepts and ability to explain them clearly Adaptability to evolving AI capabilities and limitations Strong analytical skills for evaluating AI-generated content Ability to work independently while maintaining consistent quality standards

Market Demand

Very high demand with increasing competition among AI companies for qualified mathematics experts

Important Skills

Critical Skills

Mathematical expertise: Essential for accurate evaluation and training of AI models Communication skills: Crucial for clearly explaining mathematical concepts and providing effective feedback Analytical thinking: Vital for assessing AI model outputs and identifying areas for improvement

Beneficial Skills

Understanding of machine learning concepts Experience with educational content creation Familiarity with different mathematical notation systems Knowledge of common AI model limitations in mathematical reasoning

Unique Aspects

Opportunity to shape AI development in mathematics
Flexible work arrangement with potential for long-term project involvement
Direct impact on advancing AI capabilities in mathematical reasoning
Blend of traditional mathematical expertise with cutting-edge AI technology

Career Growth

12-24 months typical progression to senior training roles, with opportunities for specialized positions in AI development

Potential Next Roles

AI Training Lead Mathematical Content Director AI Model Validation Manager Technical Advisory roles in AI companies

Company Overview

Outlier Ai

Outlier Ai specializes in improving AI models through human expertise, positioning itself as a critical bridge between traditional domain knowledge and AI development.

Emerging player in the AI training and validation space, working with leading technology companies.
Global remote workforce with strong presence in major tech markets including the UK.
Flexible, output-focused environment with emphasis on expertise and quality over traditional work structures.
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