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Remote Data Quality Jobs in Appleton, WI (NOW HIRING)

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Remote Data Quality information

See Appleton, WI salary details

$15

$40

$69

How much do remote data quality jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for remote data quality in Appleton, WI is $40.43, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $53.03 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Quality vs Remote Data Analyst?

AspectRemote Data QualityRemote Data Analyst
Required CredentialsData quality certifications, SQL, data management skillsData analysis certifications, SQL, statistical skills
Work EnvironmentFocus on data accuracy, validation, and cleansingFocus on data interpretation, reporting, and insights
Employer & Industry UsageUsed in data governance, compliance, and database managementUsed in business intelligence, marketing, and operations

Remote Data Quality specialists primarily focus on ensuring data accuracy, consistency, and integrity within databases, often working on data validation and cleansing. Remote Data Analysts interpret data sets to generate reports and insights for decision-making. While both roles require strong SQL and data management skills, Data Quality roles emphasize data validation processes, whereas Data Analysts focus on analysis and visualization.

What are popular job titles related to Remote Data Quality jobs in Appleton, WI? For Remote Data Quality jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Remote Data Quality jobs in Appleton, WI look for? The top searched job categories for Remote Data Quality jobs in Appleton, WI are:
What cities near Appleton, WI are hiring for Remote Data Quality jobs? Cities near Appleton, WI with the most Remote Data Quality job openings:
Infographic showing various Remote Data Quality job openings in Appleton, WI as of July 2026, with employment types broken down into 71% Full Time, 16% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,096 per year, or $40.4 per hour.

Mobile Data Collector (AI Training) - Remote

micro1 AI

Green Bay, WI โ€ข Remote

$13 - $15/hr

Part-time

Posted 8 days ago


Job description

Role Title: At-Home Video Recorder


Location: Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Utah, Vermont, Virginia, West Virginia, Wisconsin, and Wyoming.


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 โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Capture household tasks 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 expertโ€™s experience and workflow.


Start Timeline & Availability:

We typically fill roles within 48 hours, so weโ€™re looking for teammates who are ready to jump in. If selected, weโ€™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.


Engagement Structure

This position is project-based contract work. Engagement length and available hours fluctuate based on client needs, and there is no guaranteed minimum duration or set minimum weekly hours. When projects scale down, our team provides early and transparent communication and actively works to transition high-performing experts to new incoming projects whenever possible.


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.


  1. 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.