When It Goes Wrong, Film the Fix (Paid Data Task, Remote, Contract)

Posted 5 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
22-30 Hourly
Entry level
Artificial Intelligence • Big Data • Consumer Web • Software
The Role
Record a genuine mistake and its recovery in one unbroken video, keeping hands visible and verbally explaining what happened. Upload the clip through the Kled app for review. Accepted submissions earn $3 each, with no interview or minimum hours. The task is remote, worldwide, self-scheduled, and performed as independent piecework using an iPhone running iOS 18.6 or later.
Summary Generated by Built In

ABOUT KLED

Kled is building the largest opt-in human data network in the world.

We are not a labeling firm. We are not a task marketplace.

We are a consumer application where people upload their real photos, videos, and documents and get paid continuously.

We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data.

Since launching our mobile app in 2026, we have:

• Reached #1 on the App Store (Finance) with 0 paid marketing
• Scaled to 600,000+ active data contributors
• Processed 5M uploads per day
• Raised $15M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more

Our mission is to let anyone download the app and earn a real living wage from uploading their data.

This listing is for one paid task in the Kled app: "When It Goes Wrong, Film the Fix". There is no interview and no minimum hours: download the app, open the task, and you are paid per accepted submission.

What you will do

Something slipped, jammed, spilled or didn't fit, and you sorted it out. Film that, hands in shot.

Steps
  1. Start recording when you notice something has gone wrong

  2. Keep your hands in shot

  3. Film the recovery, what you tried, what failed, what worked in the end

  4. Say out loud what went wrong

  5. Upload

What gets rejected
  • Do not stage a fake mistake

  • Do not cut out the part where it failed, that is the valuable bit

  • Do not stop recording between the attempts

  • Nothing dangerous, ever

Accepted: A genuine failure and a genuine recovery in one unbroken take, hands visible, spoken description of what went wrong.

Pay

$3.00 per accepted clip. At a typical pace of about 6 minutes per clip, that is about $30 per hour. A 20-minute session of about 3 clips pays about $9.00. One clip of 2 to 4 minutes per submission. You are paid per accepted submission (piecework, independent contractor); submissions that break the rules are not paid. Payouts are made in the app (PayPal, Venmo or a Solana wallet).

Where and when

Open worldwide: the task runs in 100+ countries. Remote, on your own schedule. Independent contractor, piecework; this is not an employment position.

What you need
  • An iPhone running iOS 18.6 or later (the Kled app is iPhone-only right now)

  • 18 or older

  • Somewhere to prop your phone so it sees your hands and the work

How to start
  1. Download Kled from the App Store: https://apps.apple.com/app/kled/id6752585718 (also at kled.ai/app).

  2. Create your account and open Tasks.

  3. Search "When It Goes Wrong, Film the Fix", read the brief and follow the on-screen steps.

  4. Submit. Accepted submissions are paid in the app.

Every submission is reviewed, and you opt in to a commercial training license on each upload; accepted submissions are licensed to AI labs. Questions: [email protected].

Skills Required

  • iPhone running iOS 18.6 or later
  • At least 18 years old
  • A place to prop the phone so the hands and work remain visible
  • Record a genuine failure and recovery in one continuous take
  • Keep hands in the shot and verbally describe what went wrong
  • Follow the task rules and submit through the Kled app
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The Company
6 Employees
Year Founded: 2025

What We Do

Kled AI operates a human data marketplace where individuals can contribute their data, such as photos and videos, and get paid, while enterprises gain access to structured datasets for training AI models.

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