Academic Research Assistant (Mathematics) - AI Trainer - Job Opportunity at Outlier AI
USD 30-50 per hour
Benefits
Flexible remote work schedule
Performance-based incentive payments
Project-based 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
Provide expert review of AI model outputs
Contribute to improving AI model accuracy in mathematical reasoning
Rating and ranking AI-generated mathematical responses
Requirements
Education
Master's degree or higher in Mathematics or related field
Experience
Professional experience in mathematics
Required Skills
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Sauge AI Market Intelligence
Industry Trends
Salary Evaluation
The offered rate of $30-50 per hour aligns with market rates for specialized AI training roles, though rates can vary significantly based on expertise level and project complexity. PhD holders in mathematics could command higher rates, potentially up to $75-100 per hour for specialized projects.
Role Significance
Likely part of a distributed team of subject matter experts working alongside AI researchers and engineers
Senior subject matter expert position requiring advanced degree and professional experience, indicating high-level input into AI model development
Key Projects
Success Factors
Market Demand
High demand with growing trajectory as AI companies increasingly focus on improving mathematical reasoning capabilities in their models
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Opportunity to influence AI development in mathematics
Flexible work arrangement with project-based compensation
Direct impact on improving AI mathematical reasoning capabilities
Blend of academic expertise with practical AI applications
Career Growth
6-12 months to establish expertise in AI training, with potential for long-term project leadership roles within 1-2 years
Potential Next Roles
Company Overview
Outlier AI
Outlier AI specializes in improving AI models through human feedback, positioning itself at the intersection of academic expertise and artificial intelligence development
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