Quantitative Analyst Masters Degree or PHD - AI Trainer - Job Opportunity at Outlier Ai

Casper, United States
Contract
Senior
Posted: March 10, 2025
Remote
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

Advanced mathematics expertise Clear technical writing ability Fluent English communication AI model evaluation capabilities
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Sauge AI Market Intelligence

Industry Trends

The intersection of mathematics and AI is experiencing unprecedented growth, with increasing demand for domain experts to validate and improve AI model outputs. The freelance AI training market is expanding rapidly as companies seek to improve their AI models' mathematical accuracy and reliability. There's a growing trend of leveraging PhD-level expertise in mathematical model validation, particularly in the AI sector.

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

AI model training and validation for mathematical accuracy Development of mathematical test cases and evaluation criteria Quality assurance for AI-generated mathematical content Mathematical content generation and verification for AI training

Success Factors

Deep understanding of both theoretical and applied mathematics Ability to identify subtle mathematical errors in AI-generated content Strong analytical thinking and problem-solving capabilities Effective communication of complex mathematical concepts Adaptability to evolving AI technologies and methodologies

Market Demand

High demand with growing opportunities as AI companies increasingly recognize the need for expert mathematical validation

Important Skills

Critical Skills

Advanced mathematical expertise for accurate model validation Analytical thinking for identifying subtle mathematical errors Clear communication skills for explaining complex concepts Understanding of AI model behavior and limitations

Beneficial Skills

Experience with machine learning concepts Knowledge of mathematical education principles Familiarity with AI training methodologies Background in computational mathematics

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

AI Model Training Lead Mathematical Content Strategy Director AI Validation Team Manager Senior AI Quality Assurance Specialist

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

Emerging player in the AI training and validation space, focusing on quality improvement of AI models
Location-independent operation with global reach, enabling access to international talent pool
Flexible, remote-first environment emphasizing expertise and independent contribution
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