
Smartwatch User
Listing checked October 2, 2026 · pay as published by micro1
Key details
- Pay
- $70/hr
- Location
- Remote
- Job type
- contract
- Openings
- 200
- Posted
- September 30, 2026
Overview
This remote AI research project pays you to share an export of your own wearable health data. If you have worn an Oura, WHOOP, Garmin, Samsung Galaxy Watch, Google Fitbit/Pixel Watch, or Apple Watch for at least 18 months, your history can help train and evaluate AI models. The process is straightforward: download your data from your device account and upload it as a ZIP file through a Google Form. No extra equipment is needed beyond your wearable.
What You'll Do5
- Access your device account (Oura, WHOOP, Garmin Connect, Samsung Health, Fitbit/Google, or Apple Health) and request a full data export.
- Check that the export spans the required time period and contains the necessary data types.
- Submit the unedited export as a ZIP file via the provided Google Form.
- Adhere to the submission instructions and keep your data unaltered, complete, and unfiltered.
- Flag any problems, such as failed exports or missing data, and reply to feedback so your submission gets approved.
Requirements7
- Own a supported device: Oura, WHOOP, Garmin, Samsung Galaxy Watch/Samsung Health, Google Fitbit/Pixel Watch, or Apple Watch.
- Have at least 18 months of continuous data, with no gap longer than 6 weeks.
- Data must include records from the last 6 months.
- Track at least two of the following: sleep, activity, or heart rate.
- Possess login access to your own device account.
- Comfortable downloading files and uploading a ZIP through a Google Form.
- Able to follow instructions, pay attention to detail, and work independently.
Who Should Apply
The ideal candidate wears a supported smartwatch or fitness tracker daily and has built up 18+ months of continuous data with recent activity. If you can export your own data and follow upload steps without supervision, this role fits you.
Salary Insight
Compensation is $70 per device data submission, paid after your data is reviewed and meets the project requirements. No other rate is mentioned.
Required skills
How applying works
1. Pre-screen on NearSkill
A quick application on NearSkill checks your fit against this role.
2. Finish on the employer’s site
We hand you to micro1’s official application page to complete the form.
3. Wait for a response
The employer’s hiring team reviews applications and gets back to you.
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