Physicist - AI Trainer

About the Role

We seek skilled quantitative professionals to assist in training artificial intelligence models. This position involves working with advanced AI systems on tasks such as assessing AI-generated quantitative analyses, resolving technical challenges, and providing feedback that influences AI reasoning related to data, models, and scientific questions. Candidates with expertise in fields such as data science, astrophysics, economics, biostatistics, or operations research who apply rigorous data and model evaluation will find their skills highly relevant here. Team members may engage in this work alongside other full-time roles or focus on it solely.

How to Begin

Applicants must create an account and complete a brief assessment, serving as an interview alternative. Successful candidates will receive email confirmation and gain access to paid projects on the platform.

Benefits of Working With Us

• Select the projects you prefer and set your own work schedule.
• Work remotely using your personal computer from a comfortable environment.
• Earn competitive hourly rates starting at $50 to $100 or higher, with possible bonuses for certain projects.

Key Responsibilities

• Assess AI-produced quantitative work, including statistical analyses, predictive models, scientific reasoning, and data insights, ensuring technical correctness and practical applicability.
• Create and solve quantitative problems to train and evaluate AI models, covering areas such as forecasting, experimental analysis, optimization, and statistical inference.
• Produce clear technical documentation and well-structured analytical code.
• Give feedback that shapes the development of next-generation AI systems aimed at quantitative problem solving.

Qualifications

• At least three years of experience in a quantitative or research role, including domains like data science, statistics, economics, finance, physics, biology, epidemiology, or operations research.
• Proficiency in coding with the ability to write and evaluate analytical scripts thoroughly.
• Hands-on experience with statistical techniques, predictive modeling, and experiment design such as A/B testing, hypothesis testing, regression, classification, or time-series forecasting.
• Strong command of English, with excellent writing skills at a native or bilingual level.
• A bachelor's degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Engineering) is preferred; advanced degrees like Master's or PhD enhance candidacy.
• Additional credentials are advantageous, including rankings in Kaggle competitions or certifications in AWS/GCP machine learning or related expertise.

Additional Information

This opportunity is open exclusively to candidates residing in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand. Payments will be processed through PayPal, including currency conversions. This role is categorized as an independent contractor position, and no fees are required from applicants at any stage.