Quantitative Analyst Masters Degree or PHD - AI Trainer - Job Opportunity at Outlier Ai
USD 30-50 per hour
Benefits
Flexible remote work schedule
Project-based incentive payments
Professional development through AI model training
Location-independent compensation structure
Key Responsibilities
Assess factuality and relevance of AI-generated mathematical content
Create and solve mathematical problems for AI training
Evaluate and rank AI model responses for accuracy
Contribute domain expertise to improve AI model performance
Provide specialized mathematical validation and verification
Requirements
Education
Bachelor's degree or higher in Mathematics or related field
Experience
Professional experience in mathematics or technical/analytical field
Required Skills
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Sauge AI Market Intelligence
Industry Trends
Salary Evaluation
The hourly rate of $30-50 USD aligns with market standards for freelance AI training roles, though PhD holders can command higher rates up to $75-100 per hour. Annual equivalent ranges from $62,400-$104,000 based on full-time hours.
Role Significance
Likely part of a distributed team of domain experts working independently on specialized validation tasks
Senior individual contributor role with significant impact on AI model development and accuracy
Key Projects
Success Factors
Market Demand
High demand with growing opportunities as AI companies increasingly recognize the need for expert mathematical validation
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Opportunity to directly influence AI model development
Flexible work arrangement that accommodates academic schedules
Direct application of advanced mathematical knowledge to cutting-edge AI technology
Position at the intersection of theoretical mathematics and practical AI applications
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
Company Overview
Outlier Ai
Outlier Ai specializes in improving AI models through human expertise, positioning itself as a critical bridge between academic knowledge and practical AI applications
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