Venture Capitalist

Overview
Models love a founder's story and can't tell a real market from a rounded-up one: a TAM built by multiplying optimism, traction metrics that don't cohort, a moat that's really just a feature. Someone has to separate the venture-scale bet from the nice small business, and that someone is you.
As a Venture Capitalist you'll evaluate AI-built startup diligence and market analysis, check the sizing and the signal, and write the judgments that teach models how early-stage bets are really made.
What you’ll actually do

• Evaluate AI startup diligence : the market, the team, the product, and whether the opportunity is venture-scale at all.

• Break down the market math : TAM built bottom-up, unit economics, and traction that actually cohorts.

- Write the investment memo when the model falls short, honest about the risk and the reason to fund anyway.
Roles this fits
Common backgrounds: Venture Capital Associate, Investment Analyst.
What we look for

• Experience in venture capital, startup operating roles, or early-stage investing.

• A feel for markets, product, and what separates a venture bet from a small business.

• Clear written English: your explanations are the training signal.

- No degree required. We care about what you can do, not where you learned it.
How it works
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Work & get paid

Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
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