Retail Investors at Mercor

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 addition to sharing domain expertise youll 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: 2030 hours per week Payment: Weekly via Stripe Location: Fully remote / flexible Key Skills Electrical,Accomodation,Corporate Sales,AC Maintenance,Barista,ITI Employment Type : Full Time Experience: years Vacancy: 1