Job Description

Mercor is hiring on behalf of an AI lab for experienced retail investors and active traders who regularly use platforms such as Wealth simple, Robinhood, Charles Schwab, eToro, Interactive Brokers, or similar. This role is for individuals who are deeply engaged in personal investment management, equity and ETF trading, or crypto markets, and can provide practical insights into how independent investors think, trade, and make decisions. In addition to sharing domain expertise, you'll contribute to data annotation and model training work, helping the AI lab improve systems that understand retail trading behavior and investment decision-making.
Responsibilities:
Provide detailed insights into how retail investors analyze markets, execute trades, and manage portfolios.
Contribute to data annotation, evaluation, and prompt-based labeling to help train AI models for financial understanding.
Review and categorize trading-related content, investor communications, or platform data for machine learning applications.
Collaborate with research teams to refine AI model behavior in investment analysis, portfolio reasoning, and financial data interpretation.
Test and provide structured feedback on investment tools, portfolio dashboards, and retail investor interfaces.
Ideal Background:
Active or experienced retail investor using one or more platforms: Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull.
Hands-on experience trading stocks, ETFs, crypto, or derivatives.
Strong understanding of retail investor psychology, risk assessment, and market behavior.
Comfortable labeling and categorizing financial or trading data with precision and consistency.
Bonus: Experience contributing to online investor communities (e.g., r/wallstreetbets, FinTok, finance Twitter, or Discord trading groups).
Compensation & Engagement:
Type: Hourly contractor on Mercor
Hours: ~20-30 hours per week
Payment: Weekly via Stripe
Location: Fully remote / flexible

Skills Required