---
title: How to Write Job Descriptions With AI | Remqa
url: https://remqa.com/blog/ai-job-description-workflow
updated: 2026-10-25
---

[Home](https://remqa.com/) / [Blog](https://remqa.com/blog) / How to Write Job Descriptions With AI

Recruiting AI

# How to write job descriptions with AI from a real hiring brief

Build an AI job description workflow around a hiring brief, essential duties, clear requirements and human review before anything reaches your ATS.

Remqa · October 25, 2026 · 5 min read

**Short answer:** To write a job description with AI, start with an approved hiring brief that separates actual duties, required skills and optional experience. Ask the model to draft only from those inputs, flag missing facts and return every new requirement for human review before publishing.

- Agree the work before asking AI to describe it
- Keep required skills separate from preferences and training opportunities
- Make missing inputs visible instead of letting AI fill them in
- Approve one version before sending it to the ATS or job boards

By the Remqa engineering team · Last updated October 25, 2026

A polished job description can still describe the wrong job. Give AI a title and an old advert, and you have not told it what this hire will own, what the team can teach or what a good result looks like. The workflow should start before the writing prompt. Agree the role, collect the missing decisions and make someone responsible for the final text.

This guide is a recommended operating process for recruiters and hiring managers. Use AI to organize approved facts and expose gaps. Keep decisions about qualifications, working conditions and publication with the people who own them.

## Start with a hiring brief, not a previous advert

Ask the manager to describe the work in plain words. What problem is this person joining to solve? What will they produce? Who will review that work? Which decisions can they make without asking someone else? A role title is not enough to answer those questions.

Write the brief as fields that can be checked. If the manager cannot confirm a field, mark it as unknown. Do not turn a missing reporting line into an invented team structure or a missing location policy into a promise of remote work.

| Brief field | What to record | Who confirms it |
| --- | --- | --- |
| Role purpose | The problem this hire owns | Hiring manager |
| Actual duties | Work the person will perform | Manager and role expert |
| Required skills | Skills needed to perform those duties | Manager and HR |
| Optional experience | Useful background that is not a rejection rule | Hiring manager |
| Working terms | Approved location, schedule and compensation text | Authorized owner |
| Open questions | Facts that must be resolved before publication | Named decision owner |

## Separate actual duties from a wish list

Keep a distinct list of the tasks the person must perform. Then connect each qualification to a task. If a requirement has no clear connection, ask why it is there. The answer may be valid, but it should come from the role owner rather than a model trying to make the advert sound complete.

For US roles, the ADA regulations define essential functions as fundamental job duties, excluding marginal functions. They list evidence such as employer judgment, written descriptions prepared before advertising or interviews, time spent on the function and work experience in the role. That is a reason to describe the real work carefully. It is not a reason to label every bullet essential.

O*NET OnLine offers task statements for occupations and a Job Duties Custom List feature. Use it as a question list when your brief feels thin. Ask whether a relevant task belongs in this specific job. Write the result in your own words. An occupation profile does not know your team or its division of work.

## Give AI a narrow drafting task

Request a draft based only on the approved brief. Specify the sections you want, the reading audience and the terms that must remain unchanged. Ask for a separate list of missing facts and proposed additions. That keeps suggestions from quietly becoming requirements.

> **Unknown means unresolved.** Tell the model not to invent salary, benefits, location flexibility, credentials, team size or technology choices. Keep an unresolved field out of the public advert until its owner confirms it.

A useful instruction is to connect each requirement to an approved duty and identify anything that lacks support. Ask for concrete verbs and clear objects. For example, a hypothetical support role might investigate customer reports and document reproduction steps. Do not replace that work with a vague promise to drive customer success.

## Review requirements before polishing the tone

Read the qualifications as hiring rules. Separate what must be present on entry from what the team can teach and what would simply be helpful. Do not let a preferred tool become mandatory because it appeared in a draft template.

Ask the manager to explain each credential or experience threshold. If the reasoning is missing, return the requirement for a decision. Do not have AI invent a business justification after the fact. Keep a short note of the decision so screening and interviewing use the same standard.

Review how duties are described with your HR owner, including any physical or schedule requirements and accommodation language. This workflow does not provide a legal determination. It gives the reviewer a specific document to inspect instead of a polished block of unsupported claims.

## Keep a visible review sequence

1. Approve the hiring brief and assign owners to missing inputs.
2. Generate a draft with unresolved facts returned separately.
3. Compare the draft against the brief and flag added requirements.
4. Have the role expert verify duties and expected outcomes.
5. Have HR or the relevant owner review working terms and posting requirements.
6. Approve the final version and record who approved it.
7. Publish that version and check the rendered advert.

Store the brief, draft and final text together under the role's internal identifier. Record changes in requirements explicitly. A later edit to tone should not silently add a degree requirement or change the location policy. If the underlying job changes, reopen the brief rather than editing the public advert in isolation.

## Use the approved brief beyond the advert

After approval, use the same duties and requirements to prepare sourcing instructions and interview questions. Keep the optional section visibly optional. If an AI screening workflow is involved, compare its instructions against the approved brief before it touches candidate records.

Our guide to [AI resume screening with human review](https://remqa.com/blog/ai-resume-screening-human-review) covers the next part of that process. Keep the distinction clear. Drafting a job description is a content task. Using criteria to make decisions about people requires its own review and controls.

## Mistakes to watch for

- Starting from an old advert without checking whether the work changed.
- Accepting a new requirement because the wording sounds reasonable.
- Mixing optional skills with mandatory qualifications.
- Publishing benefits or flexibility that nobody approved.
- Changing the advert without updating sourcing and interview instructions.
- Assuming a friendly tone makes every requirement appropriate.

Before launch, ask a person familiar with the work to read the description without the brief. Can they explain what the hire will do and what they need on entry? If not, fix the substance before requesting another stylistic rewrite.

## How Remqa builds AI job description workflows

Remqa builds [AI agents for recruiting teams](https://remqa.com/ai-recruiting-agents) around defined inputs, review steps and approved outputs. A job description workflow can connect the hiring brief to drafting, review and ATS publication without letting the model decide the role. To discuss where this fits in your operations, start with the workflow you want to improve and review our [recruiting hours](https://remqa.com/recruiting-hours) approach.

## Questions people ask.

**Q: What should I give AI before it writes a job description?**
Provide the role purpose, actual duties, expected outcomes, required skills, optional experience, reporting line and approved location and compensation details. Tell the model which fields are unknown and who can approve them.

**Q: Can AI decide which qualifications are essential?**
Keep that decision with the hiring manager and HR team. The model can group and question requirements, but it should not turn an assumption into a hiring rule.

**Q: Can O*NET help with a job description?**
O*NET OnLine provides occupation task statements and a Job Duties Custom List feature. Use those tasks to check what you may have missed, then write your own description of the actual role rather than copying a full occupation profile.

**Q: Should AI job descriptions publish automatically?**
Our recommended workflow keeps publishing behind a human approval step. Check the duties, requirements, location, compensation, company promises and application instructions before sending the approved version onward.

**Q: Does a reviewed AI job description guarantee legal compliance?**
No. Review the role and applicable requirements with your HR or legal owner. A clear draft is useful, but it does not settle questions about essential functions, accommodations or local posting rules.

Book a free 30-minute call with an engineer: https://calendly.com/meghanaj-connect/30min