Research and Development Mathematician - AI Trainer - Job Opportunity at Outlier Ai
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
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Sauge AI Market Intelligence
Industry Trends
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
Success Factors
Market Demand
Very high demand with increasing competition among AI companies for qualified mathematics experts
Important Skills
Critical Skills
Beneficial Skills
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
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.
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