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