> ## 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.
# Reviewing proposals & hiring
> Review candidate proposals, compare AI interview signals, message applicants, and hire AI trainers.
After you publish a job, matched AI trainers can complete screening and submit proposals. The employer job workspace shows the candidate list, interview signals, proposal status, messaging entry points, and hiring actions.
## Open the Proposals tab
From **My Jobs**, select a published job, then open **Proposals**. The job workspace shows proposal review, screening, messages, contracts, instructions, the job posting, and settings. Jobs with hired AI trainers also show job messages and contract details.
## Decide who to review first
Proposal rows help you triage candidates quickly:
* **Interview score** summarizes the AI interview result.
* **Status filters** separate all, shortlisted, unreviewed, maybe, hired, declined, and resume-sent candidates.
* **Rate** shows the candidate's proposed pricing.
* **Proposal messages** opens pre-hire conversations for candidate questions. Select multiple candidates first when you want to send the same pre-hire question to several applicants.
* **View Proposal** opens the candidate's full proposal and profile context.
Use these signals to decide which applicants deserve deeper review, not as an automatic hiring decision.
## Review a candidate proposal
Click **View Proposal** to open the candidate detail modal. Review the candidate profile, bid, location, AI interview score, interview summary, and client-ready profile context before you change the proposal status or hire.
Use the status selector to keep review state visible to your team. Common statuses include **Unreviewed**, **Shortlisted**, **Maybe**, **Hired**, **Declined**, and **Resume Sent**. Add internal notes when your team needs context for the decision.
## Message candidates before hiring
Use proposal messages for pre-hire questions about availability, work samples, domain experience, or project details. Proposal messages stay tied to the proposal.
To message several applicants at once, select the candidates from the Proposals tab, then choose **Proposal messages**. Review the recipients and message text before sending. Use bulk messages for shared questions or next-step instructions, not for final hiring decisions.
After you hire, OpenTrain creates a separate job message thread for post-hire work. Keep delivery instructions, milestone questions, and ongoing coordination in the job message thread.
## Hire an AI trainer
When you are ready to hire:
Click **View Proposal** from the Proposals tab.
Check the proposal message, AI interview answers, resume/profile context, rate, and any screening signals.
Click **Hire** and enter the first milestone hours or amount, milestone name, optional due date, and description.
Review the deposit total and payment method, then confirm **Hire & Deposit** when you are ready to create the contract and fund the first milestone.
Use the job message thread, instructions, and contract tab for ongoing work.
Hiring creates the contract and first milestone. The proposal message remains available for pre-hire context, but the job message thread is the correct place for post-contract communication.
## What happens after hire
The job workspace becomes the project control surface:
* **Messages** — post-hire communication with the AI trainer.
* **Contract** — active contract and milestone timeline.
* **Instructions** — task guidelines for hired AI trainers.
* **Job Posting** — the published job details.
* **Settings** — job configuration and visibility controls.
Use **Done Hiring** when the job is fully staffed and you no longer want new proposals.
## Organize review with folders
Folders group related jobs by client, campaign, or hiring sprint. Folder-level screening can aggregate structured answers across multiple jobs, which is useful when several roles share the same evaluation criteria.