Remote AI research project focused on understanding real retail-investor behavior. We’re looking for active traders and experienced retail investors who can provide high-quality insights into how everyday investors analyze markets, manage portfolios, and make trading decisions. You’ll contribute judgment, structured reasoning, and hands-on domain context while also supporting data-annotation and evaluation tasks that help train financial AI systems.

You’ll review trading-related content, investor communications, and platform activity; categorize and label data with consistency; and help refine how AI models reason about equities, ETFs, crypto, and broader market behavior. Candidates should be up-to-date on current market trends, familiar with major brokerage platforms, and comfortable explaining how real investors think through risk, conviction, and execution.

Ideal candidates actively use platforms such as Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull, and bring practical experience trading stocks, ETFs, crypto, or derivatives. Strong analytical judgment, clear written communication, and comfort with structured labeling work are essential.

This is a fully remote contract role with flexible hours, where you’ll directly impact how frontier AI systems understand retail trading behavior and investment decision-making.

$30 – $45 an hour