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Remote Google Trainer Jobs in Minnesota (NOW HIRING)

$59.75 - $81.25/hr

Cloud Systems or Architect, Cloud Systems GCP (Google Cloud Professional) (SME) Location: Remote ... merely training: o Expert knowledge of Google cloud services and have an Active Google Cloud ...

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Remote Google Trainer information

What is the difference between Remote Google Trainer vs Remote Google Ads Specialist?

AspectRemote Google TrainerRemote Google Ads Specialist
CertificationsGoogle Certified Trainer, Google Workspace CertificationGoogle Ads Certification, Google Analytics Certification
Work EnvironmentOnline training sessions, webinars, workshopsCampaign management, ad creation, optimization
Industry UsageEducational institutions, corporate trainingDigital marketing agencies, e-commerce
Primary FocusTeaching Google tools and platformsManaging and optimizing ad campaigns

While both roles involve Google tools, Remote Google Trainers focus on educating users about Google Workspace and related platforms, whereas Remote Google Ads Specialists concentrate on creating and managing advertising campaigns. The certifications overlap but differ in application, and their work environments and industry usage reflect their distinct functions.

What job categories do people searching Remote Google Trainer jobs in Minnesota look for? The top searched job categories for Remote Google Trainer jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Google Trainer jobs? Cities in Minnesota with the most Remote Google Trainer job openings:
Infographic showing various Remote Google Trainer job openings in Minnesota as of July 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% Remote job distribution.

AI Trainer (Computer Vision) - Remote

micro1 AI

Minneapolis, MN • Remote

$13 - $15/hr

Part-time

Re-posted 6 days ago


Job description

Job Title: Data-Video Generalist


Job Type: Contractor


Location: Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, Montana, Nevada, New Hampshire, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Virginia, West Virginia, and Wisconsin.


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Capture precise motion data using your smartphone during specified physical tasks.
  2. Supported devices include the iPhone 12 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later.
  3. Record synchronized video footage to validate and enhance the integrity of collected sensor data.
  4. Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards.
  5. Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration.
  6. Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes.
  7. Ensure timely and reliable delivery of data outputs in accordance with project milestones.
  8. Participate in required device compatibility checks and a custom AI-enabled interview process.


Required Skills and Qualifications:

  1. Access to a head strap to be able to record both hands within 48 hours of the start date.
  2. Demonstrated adherence to standardized protocols and rigorous technical instructions.
  3. Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment.
  4. Strong written and verbal communication skills; ability to document work and collaborate remotely.
  5. Experience with mobile devices and a high level of digital literacy.
  6. Physical capability to perform repetitive movement tasks safely and accurately.
  7. Access to a compatible smartphone for high-fidelity sensor and video data collection.
  8. Eligibility to work in designated U.S. states.
  9. Note: Applications submitted with a Gmail address are strongly preferred for seamless tool integration.


Compensation Structure

Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow.


Start Timeline & Availability

We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding.


Equipment Requirements

Mobile:

Tasks for this project must be performed from a mobile device (smartphone). Experts will record their workflow directly from the mobile device while completing tasks.


Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.