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

Dover, United States
Contract
Senior
Posted: March 12, 2025
Remote
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

Assess and validate AI model outputs for mathematical accuracy and relevance
Develop and evaluate domain-specific mathematical questions and solutions
Provide expert review of AI-generated mathematical content
Contribute to AI model training and improvement processes
Evaluate and rank mathematical responses for accuracy and clarity

Requirements

Education

Masters Degree or PhD in Mathematics or related field

Experience

Professional experience in mathematics or technical/analytical field

Required Skills

Advanced mathematical expertise Clear technical writing ability Fluent English communication AI model evaluation capabilities Domain-specific mathematical knowledge
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Sauge AI Market Intelligence

Industry Trends

The intersection of mathematics and AI is experiencing unprecedented growth, with increasing demand for human expertise in model validation and training There's a significant shift towards incorporating domain expert feedback in AI development, particularly in mathematical applications The gig economy is expanding in the AI sector, creating new opportunities for academic experts to contribute to commercial applications

Salary Evaluation

The hourly rate of $30-50 is competitive for remote contract work, though PhD holders in mathematics could command $75-100 per hour in similar roles. Annual equivalent ranges from $62,400 to $104,000 based on full-time hours.

Role Significance

Likely part of a distributed network of subject matter experts, working alongside AI developers and data scientists
Senior technical advisor position requiring advanced domain expertise and independent judgment in AI model evaluation

Key Projects

AI model validation for mathematical accuracy Development of training datasets for mathematical AI applications Quality assurance for AI-generated mathematical content Mathematical framework development for AI systems

Success Factors

Deep understanding of both theoretical and applied mathematics Ability to bridge academic mathematical concepts with practical AI applications Strong analytical thinking and attention to detail Effective communication of complex mathematical concepts Adaptability to evolving AI technologies

Market Demand

Very high demand, driven by the exponential growth in AI applications requiring mathematical validation and the limited pool of qualified experts

Important Skills

Critical Skills

Advanced mathematical knowledge: Essential for validating AI model outputs and ensuring mathematical accuracy Technical writing: Crucial for providing clear, precise feedback on AI model performance Analytical thinking: Fundamental for evaluating and improving AI model responses

Beneficial Skills

Machine learning fundamentals: Helpful for understanding AI model behavior Programming skills: Valuable for interacting with AI systems Project management: Useful for handling multiple evaluation tasks

Unique Aspects

Rare opportunity to directly influence AI model development through mathematical expertise
Flexible work arrangement unusual for high-level mathematical positions
Direct application of advanced mathematical knowledge to cutting-edge AI development
Combination of academic expertise with practical AI applications

Career Growth

6-12 months to establish expertise in AI training, 1-2 years for advancement to lead roles

Potential Next Roles

AI Research Scientist Lead AI Model Trainer Mathematical AI Consultant AI Quality Assurance Lead

Company Overview

Outlier Ai

Outlier Ai specializes in improving AI models through human expert feedback, positioning itself at the crucial intersection of academic expertise and practical AI development

Emerging player in the AI quality assurance and training space, focusing on expert-driven model improvement
Remote-first company with global reach, allowing access to international talent pool
Flexible, output-driven environment emphasizing expertise and independent work
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