Health Data Analyst - AI Trainer

Overview

We seek experienced quantitative professionals to collaborate with cutting-edge AI systems aimed at enhancing AI-generated quantitative analyses. This role includes tasks such as evaluating AI outputs, troubleshooting technical challenges, and giving detailed feedback that influences AI reasoning about data and scientific problems. Candidates from diverse quantitative backgrounds—including data science, astrophysics, economics, biostatistics, and operations research—who think critically about data and models are encouraged to apply. The role can either complement a full-time position or serve as the main professional engagement.

Application Process

Prospective candidates must create an account and complete a brief assessment, functioning as an interview alternative. Successful candidates will be contacted via email and offered paid assignments through the platform.

Benefits of Contracting

• Flexibility to select projects and set personal schedules
• Work remotely on personal computers, enjoying the comfort of home-based engagement
• Competitive hourly payment starting from $50 to over $100, with additional bonus pay on certain projects

Key Responsibilities

• Critically assess AI-generated work involving statistical analysis, predictive models, scientific logic, and data insights for accuracy and practical relevance
• Develop and solve quantitative problems spanning forecasting, experiment analysis, optimization, and statistical inference to train and evaluate AI systems
• Compose clear, technical documentation and create well-structured analytical code
• Offer constructive feedback influencing future development of AI models focused on quantitative reasoning

Required Qualifications

• A minimum of 3 years of practical experience in a quantitative research or professional context such as data science, statistics, economics, finance, physics, or related disciplines
• Proficiency in writing and reviewing analytical code
• Applied knowledge in statistical techniques, predictive modeling, and experimental design methodologies, including hypothesis testing, A/B tests, regression, classification, and time-series prediction
• Fluent English at native or bilingual level combined with excellent writing skills
• Bachelor’s degree in a quantitative domain like Statistics, Computer Science, Mathematics, or Engineering, with advanced degrees viewed favorably
• Preferred credentials include Kaggle competition placements or ML certifications from cloud platforms such as AWS or GCP

Additional Information

Compensation will be processed through PayPal, with no fees required from applicants. PayPal handles currency conversion from USD. This independent contractor role is limited to applicants residing in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.