Alignerr · 8 hours ago
Retail Trader AI Training
Alignerr is focused on an AI research project aimed at understanding retail-investor behavior. They are seeking active traders and experienced retail investors to provide insights into market analysis, portfolio management, and trading decisions, while also supporting data-annotation and evaluation tasks for financial AI systems.
Computer Software
Responsibilities
Contribute judgment, structured reasoning, and hands-on domain context while supporting data-annotation and evaluation tasks
Review trading-related content, investor communications, and platform activity
Categorize and label data with consistency
Help refine how AI models reason about equities, ETFs, crypto, and broader market behavior
Qualification
Required
Active traders and experienced retail investors
Ability to provide high-quality insights into how everyday investors analyze markets, manage portfolios, and make trading decisions
Contribute judgment, structured reasoning, and hands-on domain context
Support data-annotation and evaluation tasks
Review trading-related content, investor communications, and platform activity
Categorize and label data with consistency
Help refine how AI models reason about equities, ETFs, crypto, and broader market behavior
Up-to-date on current market trends
Familiar with major brokerage platforms
Comfortable explaining how real investors think through risk, conviction, and execution
Practical experience trading stocks, ETFs, crypto, or derivatives
Strong analytical judgment
Clear written communication
Comfort with structured labeling work
Preferred
Experience using platforms such as Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull
Company
Alignerr
We're looking for experts to help train better AI.
Funding
Current Stage
Early StageCompany data provided by crunchbase