Computational Neuroscientist - AI Trainer

About the role

This opportunity is for experienced quantitative professionals who want to help improve AI systems. You will collaborate with advanced AI models on work such as checking AI-produced quantitative analysis, tackling technical challenges, and giving feedback that helps shape how these models handle data, modeling, and scientific reasoning.

People from a wide range of quantitative backgrounds can fit this role, including data science, astrophysics, economics, biostatistics, operations research, and similar fields. The key requirement is a strong analytical mindset and the ability to reason carefully about data and models.

Some contributors use this alongside a full-time job, while others make it their main work.

How selection works

After creating an account, you will complete a brief assessment that serves as the hiring step. If you are successful, you will receive confirmation by email and paid work will be made available through the platform.

What the contract offers

• You can decide which projects to take on and when to work.
• The work can be done on your own schedule, on your own computer, from home.
• Pay starts at USD 50 to USD 100+ per hour, and some projects include bonus rates.

Responsibilities

• Review AI-generated quantitative outputs for correctness, including statistical analysis, predictive modeling, scientific logic, and data-based conclusions.
• Create and solve quantitative tasks used to train and evaluate AI systems, covering forecasting, experimental analysis, optimization, and statistical inference.
• Prepare concise technical explanations and maintain well-structured analytical code.
• Share feedback that helps improve the next generation of AI models focused on quantitative reasoning.

Requirements

• At least 2 years of practical experience in a quantitative role or research setting, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or a related area.
• Basic coding ability, including comfort with writing and reviewing analytical code from start to finish.
• Practical knowledge of statistical techniques, predictive modeling, and experiment design, such as A/B testing, hypothesis testing, regression, classification, and time-series forecasting.
• Strong English fluency at a native or bilingual level, along with excellent writing skills.
• A bachelor's degree in a quantitative discipline is preferred, such as Statistics, Computer Science, Mathematics, Engineering, or a similar field; a master's degree or PhD is an added advantage.
• Additional credentials are beneficial, such as a Kaggle competition ranking, AWS or GCP machine learning certifications, or equivalent proven expertise.
• Only applicants based in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand will be considered.
• This is an independent contractor engagement.
• Payments are made through PayPal, which will also handle any currency conversion from USD.
• No payment or fee is required from applicants at any stage.

Additional information

The role may be performed from home on your own computer, but it is listed as onsite in the source data. Applicants can choose projects and hours with flexibility.

Other notes

The job is tied to quantitative AI training work, even though the title references computational neuroscience. The source does not specify a fixed start date, application deadline, or vacancy count.