Get Paid to Do Your Chores (Remote, Flexible, Student-Friendly Data Collection Specialist)

Company: Careerflow.ai
Job Type: Contract
Location: Remote, United States (eligible states only)
Compensation: $7.25/hour of submitted and approved video data

About the Role

Do you hate doing chores? Now you can get paid to do them.

We’re looking for Data Collection Specialists to record simple, everyday household tasks—like washing dishes, doing laundry, cleaning, and organizing—using your phone.

Your videos will help train real-world AI and robotics systems to understand how people interact with their environment. In other words, you’ll be helping teach robots how to do the same chores you’re doing.

It’s flexible, remote, and designed to fit around your schedule.

Important: This is pay-per-approved-data, not hourly pay.
 

What You’ll Do

• Record first-person videos of everyday tasks like dishes, laundry, cleaning, and organizing
• Use your smartphone in a head-mounted setup to capture what you see while doing the task
• Follow simple instructions so recordings are consistent and usable
• Upload your videos and get paid for approved data
• Do this on your own time, with consistent weekly submissions

What You’ll Need

• A smartphone (iPhone or Android) that records in 1080p
• A way to mount your phone on your head (DIY or existing setup)
• A safe space to perform basic household tasks
• Ability to follow instructions and pay attention to detail

Why This Is a Great Fit for Students

• Get paid for chores you already do anyway
• Fully remote and flexible — work whenever it fits your schedule
• No experience required
• Easy, repeatable tasks
• You’re contributing to real AI/robotics development (not just busy work)

About Careerflow.ai

Careerflow.ai helps people manage their job search and partners with top AI companies to create flexible, paid opportunities like this one.

Success in This Role

Successful contributors consistently submit clear, high-quality recordings that capture real interactions with household objects. Your work helps train AI systems to better understand and operate in real-world environments.