> ## Documentation Index
> Fetch the complete documentation index at: https://opentrain.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# AI screening

> Use AI interview requirements and structured screening fields to compare candidates before hiring.

AI screening helps you review candidates before a proposal reaches the hiring decision. For jobs with screening configured, candidates complete an AI interview first. You receive structured answers, interview context, and comparison signals in the employer workspace.

## Set the interview requirements

You configure screening in Step 5 of the job wizard. The AI interview requirements are the instructions the interviewer follows with each applicant.

<Frame caption="Write the screening instructions once; the AI interviewer uses them with every applicant for the job.">
  <img src="https://mintcdn.com/opentrainai/Ft1qLD9PuG8lHstF/images/screenshots/employers/job-wizard-screening-requirements-desktop.png?fit=max&auto=format&n=Ft1qLD9PuG8lHstF&q=85&s=dd5cf0fa1c780d6d55fba5c5ea23e7e8" alt="Employer job wizard showing AI interview requirements for healthcare documentation review experience." width="1280" height="800" data-path="images/screenshots/employers/job-wizard-screening-requirements-desktop.png" />
</Frame>

Good screening instructions usually include:

* credentials or domain experience to verify;
* tools, data types, or task types the candidate should know;
* availability, timezone, or workload constraints;
* any role-specific questions you want answered before proposal review.

## Choose the screening depth

Use the second screening step to set the expected experience level and turn on the screening signals that matter for this job.

<Frame caption="Experience requirement and structured interview controls determine how much candidate evidence is collected before review.">
  <img src="https://mintcdn.com/opentrainai/bxHvLEpzz0he0KXf/images/screenshots/employers/job-wizard-screening-options-desktop.png?fit=max&auto=format&n=bxHvLEpzz0he0KXf&q=85&s=905fad2cb13ba5c7ed45d9930c061489" alt="Employer job wizard showing experience requirement toggles and structured AI interview extraction controls." width="1280" height="800" data-path="images/screenshots/employers/job-wizard-screening-options-desktop.png" />
</Frame>

For recruiting-configured jobs, structured interview extraction can collect fields such as LinkedIn profile, years of experience, availability, or custom answers. Those fields appear in the screening table and CSV export.

## What candidates do

When a candidate starts a proposal for a screened job:

1. They answer the AI interview questions before submitting the proposal.
2. The interviewer asks for the evidence you configured.
3. Required answers are captured in a structured format.
4. The candidate submits the proposal after the interview is complete.

The interview can use resume and profile context to flag mismatches. Those signals help review; they do not replace your hiring decision.

## Where you review answers

Screening answers appear in proposal review and folder-level screening. Use them to compare applicants by the same fields instead of reading every proposal from scratch.

<Frame caption="Proposal rows show AI interview score and candidate status before you open the full proposal.">
  <img src="https://mintcdn.com/opentrainai/BG3fNmpCfsxOjpqV/images/screenshots/employers/proposal-list-desktop.png?fit=max&auto=format&n=BG3fNmpCfsxOjpqV&q=85&s=5decd2a0bf9fcdfceda05b4f8e968db0" alt="Employer Proposals tab showing an AI trainer proposal with interview score, rate, country, status, and View Proposal action." width="1280" height="800" data-path="images/screenshots/employers/proposal-list-desktop.png" />
</Frame>

For folders, the **Screening** tab aggregates candidates across related jobs. Use it when you are reviewing a client campaign, hiring sprint, or multiple similar roles together.

## Export screening data

If CSV export is available for your folder:

1. Open the folder.
2. Go to **Screening**.
3. Apply the filters you want reflected in the export.
4. Click **Export CSV**.

The export contains one row per candidate and one column per configured screening field.