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Remote Data Collector Jobs in Minnesota (NOW HIRING)

JLL

Data Collection Specialist II

Minneapolis, MN · Remote

Experience with performing data collection on building systems (HVAC, refrigeration, point of sale ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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Remote Data Collector information

How can I make 2000 a week working from home?

A remote data collector can potentially earn $2,000 a week by completing high-volume data collection tasks, participating in paid surveys, or working on freelance projects that pay per task or project. Building skills in data entry, using online platforms, and maintaining a consistent schedule can help increase earnings, but achieving this income level typically requires a combination of multiple income streams and efficient time management.

What jobs pay 4000 a week without a degree?

Remote Data Collector roles typically do not pay $4,000 a week; such high earnings are uncommon without specialized skills or experience. High-paying jobs that can reach this level often require advanced technical skills, certifications, or experience in fields like sales, real estate, or freelance consulting. Most roles paying this amount involve significant responsibility, performance-based pay, or entrepreneurial effort.

How much do data collectors get paid?

Data collectors typically earn between $10 and $20 per hour, depending on the complexity of the data and the employer. Some positions may offer higher pay for specialized skills or experience, and remote roles often provide flexible schedules but may have varying pay rates.

What does a Remote Data Collector do?

A Remote Data Collector is responsible for gathering, organizing, and sometimes analyzing data from various sources while working remotely. This can involve collecting survey responses, monitoring online trends, or compiling information from databases and digital platforms. The data collected is often used by companies or researchers to make informed decisions or improve their products and services. Remote Data Collectors typically use specialized software tools and must ensure that the data they handle is accurate and confidential.

What is the difference between Remote Data Collector vs Remote Data Entry Clerk?

AspectRemote Data CollectorRemote Data Entry Clerk
Required CredentialsHigh school diploma or equivalent; sometimes certifications in data collection or survey toolsHigh school diploma or equivalent; basic computer skills
Work EnvironmentFieldwork, online surveys, or remote data gathering from various sourcesPrimarily office or home-based data input tasks
Employer & Industry UsageMarket research firms, healthcare, social sciences, government agenciesBusinesses, healthcare, administrative offices, data management companies

Remote Data Collectors focus on gathering data through surveys, interviews, or fieldwork, often requiring some specialized knowledge. Remote Data Entry Clerks primarily input data into systems, emphasizing accuracy and speed. While both roles are remote and involve data, their core tasks and environments differ significantly.

What are some common challenges faced by Remote Data Collectors, and how can they be managed?

Remote Data Collectors often encounter challenges such as maintaining data accuracy, managing time effectively without direct supervision, and dealing with varying data sources or formats. To address these, it's important to establish a consistent workflow, use standardized tools for data entry and validation, and maintain clear communication with your team or supervisor. Regular check-ins and training on data management best practices can also help ensure quality and reduce errors in your collected data.

What are the key skills and qualifications needed to thrive as a Remote Data Collector, and why are they important?

To thrive as a Remote Data Collector, you need strong analytical skills, attention to detail, and a background in data collection or research, often supported by a relevant degree or certification. Familiarity with data collection tools, survey platforms, spreadsheet software, and sometimes mobile data collection apps is typically required. Excellent time management, self-motivation, and effective communication are crucial soft skills for working independently and ensuring data accuracy. These skills and qualities are essential to ensure reliable data gathering, timely reporting, and the integrity of research or business projects.

How to make 1000 a week remotely?

A remote data collector can potentially earn $1,000 a week by completing high-volume data entry tasks, participating in paid surveys, or performing freelance data collection projects. Success depends on skills, efficiency, and access to multiple platforms or clients, often requiring consistent effort and good time management.
What are the most commonly searched types of Data Collector jobs in Minnesota? The most popular types of Data Collector jobs in Minnesota are:
What are popular job titles related to Remote Data Collector jobs in Minnesota? For Remote Data Collector jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Collector jobs in Minnesota look for? The top searched job categories for Remote Data Collector jobs in Minnesota are:
Remote Data Collector jobs near you
Infographic showing various Remote Data Collector job openings in Minnesota as of July 2026, with employment types broken down into 5% Locum Tenens, 64% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

AI Data Collector (Motion & Video)

micro1 AI

Rochester, MN • Remote

$13 - $15/hr

Part-time

Re-posted 7 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.

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