Portfolio Manager (AI Training)

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.

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.

Apply now

Hourly rate up to $125+ / hour

Commitment Flexible hours

Type Independent contractor

Payouts Weekly

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Where you can work

This role is 100% remote, for applicants located in these 6 countries: Australia, Canada, United Kingdom, Ireland, New Zealand and United States.