How to Humanize a Job Description After ChatGPT
ChatGPT job descriptions list twelve "required" skills and call everyone a rock star. Lock real must-haves, cut bias mush, and humanize the narrative once—not the compliance sections.
Hiring managers ask ChatGPT for a job description when the req is due tomorrow. The draft comes back complete and useless: twelve required skills, three "nice to haves" that are also required, and a culture paragraph that could post to any startup in any city.
Candidates are not fooled. Neither is your ATS when every bullet is a keyword sponge. The fix is not hiding AI use. It is writing a description a qualified person can self-select into—or out of—honestly.
Related: Humanize Performance Reviews and Feedback, Humanize Resume and Cover Letter, ethical AI use.
What AI job descriptions get wrong
| They produce | Candidates hear |
|---|---|
| "5+ years" on tools the team does not use | I should not apply |
| Every soft skill listed as required | Nobody qualifies |
| "Fast-paced environment" with no detail | Vague risk |
| Identical bullets across open roles | Template shop |
| "Competitive salary" with no range | Waste of time |
Bias mush shows up as "cultural fit" language without observable behaviors, gendered adjectives, and degree requirements that gatekeep jobs the team would train.
Lock must-haves before any model
Write these with the hiring manager. Do not let ChatGPT fill blanks:
- Outcome the hire owns in the first 90 days
- Three skills that are truly non-negotiable
- Nice-to-haves that are actually optional
- Level (IC vs manager, scope, budget if any)
- Location / travel / visa facts HR already approved
| Must-have (real) | Mush (cut) |
|---|---|
| Ship production Python services | "Passion for excellence" |
| Own on-call rotation one week per month | "Self-starter" |
| Present quarterly metrics to leadership | "Rock star communicator" |
If (1) is empty, you are not ready to publish. You are ready for a intake meeting.
Structure that recruits and filters
| Section | Content |
|---|---|
| Role summary | Two sentences: team, outcome, who thrives |
| Responsibilities | 5–7 bullets, verbs first, no duplicate skills |
| Requirements | Split required vs preferred—max 5 required |
| Team context | What they will actually do Tuesday |
| Comp / benefits | What legal allows in your jurisdiction |
| EEO / accommodations | HR boilerplate, unedited |
Paste verified bullets into ChatGPT for ordering only. Ban new requirements.
Where Human Writes helps
| Section | Humanize? |
|---|---|
| EEO / visa / comp tables | No |
| Required skills list | No—accuracy over voice |
| Role summary / team story | Yes, one pass |
| "About us" if generic | Yes, after real facts |
Paste stiff narrative into Human Writes once. Put back proper nouns, product names, and metrics. Re-read for accidental requirement inflation—humanizers love adding adjectives.
Before and after
AI draft:
We are seeking a dynamic, results-driven professional to join our fast-paced team. The ideal candidate is a self-starter with excellent communication skills and a passion for innovation.
After your facts + one humanize pass:
You will own the billing migration (Stripe → internal ledger) through Q2. Required: production Go, SQL you can explain in an interview, and comfort presenting blockers in a weekly eng review. Preferred: prior fintech, not required—we will pair you with a domain lead.
Second version lets the wrong person opt out early.
Bias and compliance (do not outsource to AI)
- Degree requirements: justify or drop; many roles do not need them
- "Native English": often discriminatory; specify communication need instead
- Age-coded words: "digital native," "energetic," "recent graduate" for senior roles
- Physical requirements: only if job-related and consistent with ADA/process in your region
- Internal tools: use names candidates can map to resumes
Company policy first. Some employers restrict HR text in consumer AI. Use the approved tenant when required.
What not to do
- Publish twelve "required" skills when the manager named three
- Humanize until years-of-experience numbers drift
- Copy another company's description with find-replace
- Promise "undetectable" or keyword-stuffed prose for ATS games
- Skip the conversation with HR on comp transparency laws
Workflow
- Intake with hiring manager: five lines above.
- Draft structure in ChatGPT with those lines pasted and a ban on new requirements.
- Cut every sentence that could describe any job on the careers page.
- One Human Writes pass on summary and team context.
- HR review on legal blocks and comp language.
- Post. Track apply quality, not vanity apply volume.
Related articles
- Humanize Performance Reviews and Feedback
- Humanize Resume and Cover Letter
- Checklist for Writing Human-Like Emails
- Checklist for Ethical AI Use
Candidates trust descriptions with real must-haves. Try Human Writes for one voice pass after the facts are locked.