What to put on your resume
For AI training roles, use the resume you would send for a senior job in your own profession. Platforms are buying domain depth, so years of practice, tools, scale and specific outcomes matter more than anything AI-flavoured.
The most common self-inflicted mistake is rewriting a strong professional resume to sound AI-adjacent, which replaces evidence of expertise with generic language.
What to include
- A one-line specialism. "Structural engineer, 9 years, high-rise concrete design" beats "experienced engineer".
- Years and seniority stated plainly for each role.
- Tools and systems you actually use daily.
- Scale. Team size, transaction value, users served, throughput — whatever your field measures.
- Outcomes with numbers. Not responsibilities. What changed because you were there.
- Qualifications and licences in full, including jurisdiction where relevant.
- Languages with honest proficiency levels. These are separately recruited.
What hurts
- Adding "AI" everywhere. It reads as padding and displaces real evidence.
- Removing depth to fit one page. Depth is the product here.
- Generic summaries. "Results-driven professional" tells a matching system nothing.
- Claims you cannot defend in an interview. Consistency is checked against what you say.
- Hiding gaps or career changes. Both are fine; unexplained inconsistency is not.
Why specificity matters mechanically
These platforms match you to a named domain before a project ever reaches you. A profile that could belong to any professional in your field cannot be matched to a project that needs someone specific. The narrower and more evidenced your specialism, the more matchable you are.
Next: preparing for the interview →
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Common questions
Should I write a different resume for AI training jobs?
No — use your standard senior professional resume. Platforms screen for domain depth, so the resume that best evidences your expertise in your own field is the right one.
Should I mention AI tools I have used?
Mention them honestly if you genuinely use them, in the tools section. Do not build the resume around them, since that displaces the domain evidence platforms are actually screening for.
How long should the resume be?
Long enough to evidence depth. Two pages is normal for an experienced professional, and cutting real detail to reach one page works against you here.