Stanford Youth Study — US Parents & Kids (Age 9–13)
Mercor • Remote, USA
Education
Any
Type
hourly
Pay Rate
$120/hr
Listed
Today
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About this Role
From the Mercor listing
Mercor is helping recruit participants for the Youth Well-being Project, a research study led by Stanford University in collaboration with Bocconi University, focused on understanding how smartphones and digital tools affect children and families.
We are enrolling parents in the United States who have a child aged 9–13. You can pick one child to participate with you.
What You'll Be Asked to Do
Fill out online surveys about your child and answer a few text-message questions
Install a parental-control app on your child's phone for the study
Your child answers two short online surveys and a few text-message questions about how they feel
Requirements
Based in the United States
A parent/guardian of a child aged 9–13
The child has their own smartphone
Willing to install a parental-control app on the child's phone
You and your child are willing to take part together
Engagement Details
Format: Online surveys + short text-message check-ins
Time commitment: About 1 hour of surveys overall
Compensation: $120 flat fee for completing the study (paid once)
Location: Remote (United States)
Participation: One child per household
Timing: Starting soon
Why Participate
Contribute to Stanford + Bocconi research on children's well-being in the digital age
Help parents make more informed decisions about technology
Flexible, remote participation
Requirements
- Must be eligible to work in one of: Remote, USA
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Generalist
Why This Role
Few remote roles pay $120/hr for Generalist judgment on your own schedule. As a Stanford Youth Study — US Parents & Kids (Age 9–13), this is that role: real income, flexible hours, and direct exposure to how AI labs are building the next generation of models.
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Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does Generalist work look like for a Stanford Youth Study — US Parents & Kids (Age 9–13)?
Tasks here are scoped to Generalist, not generic labeling. As a Stanford Youth Study — US Parents & Kids (Age 9–13), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
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