Job descriptionMercor is hiring on behalf of an AI labforexperienced retail investors and active traderswho regularly use platforms such asWealth simple, Robinhood, Charles Schwab, eToro, Interactive Brokers, or similar. This role is for individuals who are deeply engaged inpersonal investment managementequity and ETF trading, orcrypto markets, and can provide practical insights into how independent investors think, trade, and make decisions. In addition to sharing domain expertise, you’ll contribute todata annotation and model training work, helping the AI lab improve systems that understand retail trading behavior and investment decision-making.###Responsibilities :Provide detailed insights intohow retail investors analyze markets, execute trades, and manage portfolios. - Contribute todata annotationevaluation, andprompt-based labelingto 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 ininvestment analysisportfolio reasoning, andfinancial data interpretation. - Test and provide structured feedback oninvestment 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 tradingstocks, ETFs, crypto, or derivatives. - Strong understanding ofretail investor psychologyrisk assessment, andmarket behavior. - Comfortable labeling and categorizing financial or trading data with precision and consistency. - Bonus : Experience contributing to online investor communities (e.g.,r / wallstreetbetsFinTokfinance Twitter, orDiscord trading groups).###Compensation & Engagement :Type :Hourly contractor onMercorHours :~20–30 hours per week -Payment :Weekly viaStripeLocation :Fully remote / flexible