Smartwatch User Wearable Health Data Contributor

Work location: Remote from: United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, Netherlands, Oman, Peru, Philippines, Pakistan and more

The work

You provide a complete export from your own wearable device account for AI research, training, and evaluation. The work uses your existing long-term device history, not specialized equipment or annotation software.

You must preserve the original records and submit the export without changing, deleting, or filtering the data.

• Access your personal wearable account and request or download a complete data export.

• Check that the export includes the required history, recent activity, and applicable health metrics.

• Upload the unedited export as a ZIP file through the designated submission form.

• Report failed exports or missing information and respond to feedback about the submission.What it pays and takes

The role is open to candidates in the countries listed below and requires fluent English.

• $70 per eligible wearable-device data submission after the data is reviewed and accepted.

• Personal access to an Oura Ring, WHOOP, Garmin, Samsung Galaxy Watch or Samsung Health, Google Fitbit or Pixel Watch, or Apple Watch.

• At least 18 months of continuous wearable data, with no gap longer than six weeks.

• Recorded activity within the last six months and tracking in at least two categories, such as sleep, activity, or heart rate.

• Ability to download files, upload a ZIP file, follow detailed instructions, and work independently.

• Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.How it works

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 9 screening questions.

About AI training work

AI training uses examples prepared and reviewed by people to help artificial intelligence systems learn. Contributors with complete, accurate data or useful subject knowledge can support better model research and evaluation.

OpenTrain is where people find AI training and data-labeling projects, build a profile, and apply in minutes.