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 $75 – $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.