AI Training Roles

Video and Photo Data Collection AI Training Interview Questions

Data collection roles pay people to record everyday video, photos or sensor data with their own phone or camera, usually following a precise shot list. Some postings mention a device compatibility check and an AI interview during onboarding, and many require a specific phone model. These practice questions cover what screenings and project leads tend to care about.

35 open roles in this groupUpdated 9 October 2026

Practice questions

These are practice questions written for this site to help you prepare. No platform has said it asks these exact questions.

  1. Which device will you use, and does it meet the listed requirements?

    A good answer covers: Name the exact model and confirm it matches the posting's list. Do not apply with a device that is not listed.

  2. How would you film a task so every step is visible?

    A good answer covers: Steady framing, good light, hands and objects in frame, no cuts, and following the shot list order.

  3. What would you do if a person who has not agreed to be filmed walks into the shot?

    A good answer covers: Stop or re-record, and follow the project's privacy rules on consent and faces.

  4. How do you check a recording before submitting it?

    A good answer covers: Watch it back for blur, framing, light, audio and length against the requirements.

  5. What lighting problems ruin data videos?

    A good answer covers: Backlight from windows, dark rooms, flicker from some lamps, and mixed colours of light.

  6. How do you follow a long list of recording rules without missing one?

    A good answer covers: Read them fully first, keep a checklist, do a short test clip, and re-check rules on each new task type.

  7. Why might a project ask for specific age groups or locations?

    A good answer covers: To make datasets more varied and representative. Give accurate information only.

  8. What questions would you ask before agreeing to share photos of yourself or your family?

    A good answer covers: How the images will be used, stored and for how long, who can see them, and whether you can withdraw.

What the platforms say about the assessment

In the 2026-10-09 data, roles in this group came from Appen, micro1, Welo Data (Welocalize), Terac and Innodata. Each platform runs its own process, and steps can differ by role. Below is what each platform's public pages or postings say, followed by lines quoted from current postings in this group.

Appen

Source: api.lever.co

micro1

Source: www.micro1.ai

Welo Data (Welocalize)

Source: welodata.ai

Terac

Source: terac.com

Innodata

Source: boards-api.greenhouse.io

Quoted from current postings

"Complete a device compatibility check and an AI-enabled interview during onboarding."

Smartphone Video Recorder, micro1

"You may be asked to complete a brief screening step to confirm your dialect before your submission is finalized."

Project Keid - Gulf Arabic Speaker - Video Recording (Remote), welocalize

Steps were read from public pages and postings, not tested first-hand. Passing a screening does not guarantee a project, hours or pay.

Terms to know

Data collection
Projects where you create new data, such as photos, videos, recordings or written samples, instead of judging existing data.
Consent form
A document you sign agreeing to how your recordings, images or other data will be used, for example to train or synthesize voices.
Annotation
Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
Guidelines
The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.

Open roles in this group (35)

Sources

Other role groups