Retail Trader
- Pay
- $30–$45/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 14, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
Retail Trader — AI Training Contributor
About the Role
We're looking for active retail investors and everyday traders to contribute their real-world market knowledge to a cutting-edge AI research project. If you actively trade stocks, ETFs, crypto, or derivatives and know your way around a brokerage platform, your experience is exactly what we need.
This is a fully remote, flexible contract role where your trading instincts and investment judgment directly shape how frontier AI systems understand retail investor behavior.
What You'll Do
- Review and evaluate trading-related content, investor communications, and platform activity for accuracy and relevance
- Label and annotate financial data with consistency and precision to support AI model training
- Apply your real-world trading knowledge to assess how AI reasons about equities, ETFs, crypto, and broader market behavior
- Provide structured written explanations of how retail investors approach risk, conviction, and trade execution
- Help refine AI understanding of portfolio management strategies and market analysis techniques
- Complete task-based assignments independently and on your own schedule
Who You Are
- An active retail investor or trader with hands-on experience in stocks, ETFs, crypto, or derivatives
- Familiar with major brokerage platforms such as Robinhood, Wealthsimple, Charles Schwab, Fidelity, eToro, Interactive Brokers, SoFi, or Webull
- Up-to-date on current market trends and comfortable discussing how real investors think
- Strong analytical judgment with the ability to explain your reasoning clearly in writing
- Detail-oriented and able to follow structured labeling and annotation guidelines
- Self-motivated and reliable when working independently
- No prior AI or data annotation experience required
Nice to Have
- Experience with options, futures, or other derivatives
- Background in personal finance, investment research, or financial analysis
- Familiarity with technical or fundamental analysis methodologies
- Experience across multiple asset classes or international markets
Why Join Us
- Work on cutting-edge AI projects that are shaping the future of financial technology
- Fully remote and flexible — work on your own schedule, on your terms
- Freelance perks: autonomy, variety, and the ability to work from anywhere
- Put your trading knowledge to work in a meaningful new way
- Potential for ongoing work and contract extension
