
AI Portfolio Manager
About the role
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 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.
Requirements
- 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
About DataAnnotation.tech
US-based platform connecting contractors to AI companies needing human feedback for training data. Paid out $20M+ to contractors since launch.
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