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Some employers require a structured screening step before they review proposals. This step is called the AI interview. It is an automated conversation that collects specific information from you so the employer gets consistent, comparable data from every applicant.

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Why it exists

Employers who post jobs at scale need structured data — not unstructured cover letters — to compare candidates fairly. The AI interview replaces free-form questions with a guided conversation that captures the specific details the employer has asked for. Common examples include your LinkedIn profile, years of AI training experience, weekly availability, and whether you have worked on specific platforms before. Every answer you give is saved to a structured record that the employer can review alongside your resume and profile.

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What to expect

The interview is a chat interface inside the proposal modal. An AI interviewer asks you a series of questions one at a time. You type your answers in plain text and continue the conversation until all required fields are captured. Common fields employers collect:
  • LinkedIn URL — your full LinkedIn profile link
  • Years of experience — specifically in AI training, data labeling, or annotation
  • Weekly availability — how many hours per week you can commit
  • Previous AI training experience — which platforms you have used and what types of tasks you have done (annotation, RLHF, SFT, evaluation, etc.)
Some employers add additional custom questions specific to their project.

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Completing the interview

1

Click Apply on the job

When you click Apply on a job that requires an AI interview, the proposal modal opens directly into the interview screen. You cannot skip to the bid step until the required screening fields are captured.
2

Read the first message carefully

The AI interviewer opens with a greeting and explains what it needs from you. Read it before responding — it often tells you the full list of questions upfront.
Submit a Proposal modal showing the Live Chat Screening Interview with an Available Now badge. The OpenTrain AI Interviewer asks the AI trainer to share their LinkedIn profile or a public portfolio link relevant to the role, while the message composer at the bottom is empty and the Send button is disabled.
Answer each question directly and specifically. Vague responses like “I have experience” may cause the interviewer to ask follow-up questions to get a concrete answer. “I have 2 years of experience labeling text and image data on Scale AI and Labelbox” is far more effective.
3

Answer all required fields

Respond to each question in turn. The interview captures your answers cumulatively — if you mention your LinkedIn URL naturally in a sentence, the system records it without needing a separate prompt.
For your LinkedIn URL, paste the full URL (e.g., linkedin.com/in/yourname) directly in your message. The system validates URL format and will ask again if you enter something it cannot recognize as a LinkedIn profile.
For experience-related questions, be specific:
  • Name the platforms you have used
  • Give a concrete number of years or months
  • List the task types (bounding box, RLHF, transcription, etc.)
If you have no direct AI training experience, say so explicitly (e.g., “I don’t have direct AI training experience yet”). A clear negative answer completes the field — the system does not leave it blank waiting for a different response.
4

Wait for the completion signal

When all required fields are captured, the interviewer signals that the interview is complete. The chat view switches to a summary state and you can proceed to the bid step.
If the interviewer keeps asking about a field you think you already answered, check whether your previous answer was specific enough. For example, answering “I use LinkedIn” does not satisfy a URL field — you need to paste the actual URL.
5

Confirm and move to your bid

After the interview completes, you confirm the results and enter your bid amount. Your proposal can now be submitted.

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Interview progress

The system tracks the employer’s required fields as you answer in the chat. When it captures enough information for one field, the interviewer moves to the next missing field.
Submit a Proposal modal showing an in-progress Live Chat Screening Interview. The AI trainer has answered with a LinkedIn profile and four years of audio transcription QA experience, and the OpenTrain AI Interviewer asks what weekly availability the AI trainer can commit for the review pool.
If the interviewer asks for a field again after you believe you answered it, provide the answer again with more specificity. The interviewer will accept it once the format or content meets the validation criteria.

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Resuming an interrupted interview

If you close the proposal modal before finishing — or if your connection drops mid-interview — your progress is saved. When you open the job detail page again and click Apply, the proposal modal reopens at the point where you left off. Your existing chat history is preserved and the interviewer continues from where you stopped. You do not need to start over.
Interview sessions are tied to your account and the specific job. If you clear your browser data or switch devices, the interview resumes from the server-side state — your answers are not lost.