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Building an expert profile that gets approved

How professionals — engineers, clinicians, lawyers, scientists — position themselves for $50+/hr expert AI work.

7 min readUpdated

On this page
  1. What expert platforms look for
  2. Write your headline and summary
  3. Evidence that helps
  4. Choose the right platforms
  5. Tips for experienced contributors

What expert platforms look for

Expert projects pay well because they need judgement that few people have. Reviewers look for three things: verifiable credentials, depth in a specific area, and the ability to explain reasoning clearly in writing.

General seniority is not enough. 'Ten years in software' says less than 'eight years building payment systems in Go and Python; led migration of a 40-service platform'.

Write your headline and summary

Your headline should name your field and specialism in one line. Your summary should list the specific areas where you can judge an answer as right or wrong with confidence.

Keep it honest. Overstating expertise leads to failed assessments, and some platforms verify credentials.

Checklist

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Evidence that helps

Where platforms allow it, link evidence: publications, a GitHub profile with real work, a professional registry entry. Do not upload confidential employer material.

Choose the right platforms

Expert work is spread across several platforms, each with a different process — AI interviews, credential checks, paid trials. Use your Corridoor matches to find where your field is in demand now, and check the live feed for open specialist projects.

Check your employment contract. Some employers restrict outside work or work in the same field.

Tips for experienced contributors

Prepare for the assessment like a professional exam, not a quiz. Expect to write detailed critiques of model outputs in your field and to justify each point.

Track your effective hourly rate honestly. Expert projects can involve unpaid onboarding time.

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