Portfolio Manager

Overview
Models can recommend a portfolio that reads well and quietly breaks every rule that matters: concentrated bets dressed as diversification, a Sharpe ratio computed on overlapping exposures, position sizing that ignores liquidity and drawdown. Someone has to see the risk the model can't, and that someone is you.
As a Portfolio Manager you'll evaluate AI-built investment theses and allocations, check the risk and construction behind them, and write the judgments that teach models how capital is actually put to work.
What you’ll actually do

• Evaluate AI investment theses on real names: the catalyst, the valuation, and whether the thesis has an edge or just a story.

• Interrogate the construction : position sizing, correlation, liquidity, and the risk the model waves away.

- Write the sharper call when the model falls short, with the conviction and risk framing a real book demands.
Roles this fits
Common backgrounds: Portfolio Manager, Buy-Side Analyst, Hedge Fund Analyst.
What we look for

• Buy-side experience: portfolio management, hedge fund, or asset-management research.

• Fluency with portfolio construction, risk, and security analysis.

• 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
Apply

Qualify

Work & get paid

Compensation
Up to $40 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
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