Egocentric Video Data Contributor

Posted 12 Hours Ago
Be an Early Applicant
2 Locations
Remote
Entry level
Artificial Intelligence • Machine Learning • Robotics • Software
The Role
Record authentic first-person video of household tasks, work activities, and everyday routines using a phone mounted on a headstrap. Contributors work independently on flexible schedules, preferably recording at least 10 hours weekly, then upload footage through Perle’s secure app for review and payment. The role is open to people based in Indonesia or Malaysia who are at least 18 and have a supported smartphone.
Summary Generated by Built In
About Perle

Perle is an AI infrastructure company building expert-driven training data, evaluation systems, and applied AI products for the world's leading labs and enterprises. Headquartered in San Francisco with experts across more than forty markets, we specialize in the work that requires real human judgment: domain expertise, linguistic nuance, and cultural fidelity that generic data vendors cannot deliver.


Imagine earning extra money without changing a thing about your day. No second shift, no commute, no time away from the work or the life you already have. You film what you are already doing, and you get paid for it.

Perle is building the data that teaches AI and robotics how real people move, work, and get things done. To do that, we need video recorded from a first-person point of view: the world as you see it, through a small camera mounted on a lightweight headstrap. We are looking for contributors across the Indonesia & Malaysia to capture everyday footage and turn their ordinary routines into real income.


What You'll Actually Be Doing

The role is simple: you wear a headstrap with your phone, press record, and go about your day. The footage is captured hands-free from your perspective, so you can keep both hands on whatever you are doing.

Contributors record everyday activities and real work. That includes things like:

  • Household life: doing tasks around the house, cooking, cleaning, organizing, repairs, and other daily routines.
  • On the job: filming while you do your actual job, whether you work in manufacturing, roofing, construction, a restaurant kitchen, a warehouse, or any other hands-on trade.
  • Everyday activities: the small, ordinary moments that make up a normal day, captured naturally as they happen.

There is no script and no acting. The whole point is authentic, real footage of real life. If you can do your job and your daily tasks, you can do this.

Why This Is Worth Your Time

  • Earn while you already work: Record while you work or while you handle things at home. Your day does not change; you just capture it.
  • Total flexibility: There are no fixed shifts. You decide when to record and how much. The more quality footage you submit, the more you earn.
  • Real, steady income: Pay is competitive and varies by region. You are compensated for every hour of accepted footage you deliver.
  • We cover your gear: Perle provides a budget to purchase the headstrap you need to get started, so the equipment is covered.
  • Be part of the future: The work you submit helps train the next generation of AI and robotics. Your everyday routine becomes part of something much bigger.

What You'll Need

  • Location: You must be based in the Indonesia & Malaysia country. This role is open to these regions only.
  • Age: You must be 18 years or older.
  • A supported phone: You need one of the following: iPhone 11 or newer, Google Pixel 6 or newer, or Samsung Galaxy S21 or newer. A supported phone is required to capture footage.
  • Willingness to wear a headstrap: You should be comfortable wearing a lightweight headstrap while you work or move around the house. Perle provides a budget so you can purchase one.
  • Around 10 hours a week: A minimum of 10 hours of recorded footage per week is preferred. You are free to record more, and consistency helps you earn more.

How It Works

Step 1   Apply and get approved

Submit your application and confirm you have a supported phone. Once you are approved, we will get you set up.


Step 2   Get your headstrap

We provide a budget to purchase the headstrap. You mount your phone, and you are ready to record hands-free.


Step 3   Record your day

Press record and go about your work and your routine. Capture at least 10 hours of footage a week, on your own schedule.


Step 4   Submit and get paid

Upload your footage through the app. Once it is reviewed and accepted, you are paid for every hour delivered.

Your Data Is Safe With Us

Everything you record is submitted through a dedicated app, which is built to be fully compliant and private. Your footage is encrypted and handled securely from the moment you upload it.

  • One secure channel: Footage is submitted only through the official app. Nothing is shared publicly or posted anywhere.
  • Private by design: Your personal information and your recordings are protected and anonymised and not shared.
  • Fully compliant: The app follows strict data compliance and security standards, so your data stays secure at every step.

Ready to Start Earning?

If you are based in Indonesia & Malaysia and you want to turn your everyday routine into extra income, we want to hear from you. Whether you are on a roof, in a kitchen, on a factory floor, or just getting things done at home, your day is worth something.


Skills Required

  • Must be based in Indonesia or Malaysia
  • Must be at least 18 years old
  • Must have an iPhone 11 or newer, Google Pixel 6 or newer, or Samsung Galaxy S21 or newer
  • Must be comfortable wearing a lightweight headstrap while working or performing household activities
  • Record approximately 10 hours of footage per week
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The Company
26 Employees
Year Founded: 2024

What We Do

Perle is an AI infrastructure company that builds expert-driven training data, evaluation systems, and applied AI products for leading labs and enterprises. Based in San Francisco with experts across more than forty markets, it provides human-judgment-intensive domain expertise, linguistic nuance, and cultural fidelity. Its platform supports end-to-end training data, evaluation, labeling, and multimodal data programs for teams developing AI and robotics.

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