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Remote Amazon Data Annotation Jobs in Peoria, AZ

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Uber, Lyft, DoorDash, Instacart, or Amazon Flex drivers * Freelancers * Remote workers * Technology enthusiasts * People interested in AI, robotics, or VR * Individuals who are patient, detail ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Document experimental findings and processes with a focus on clarity for AI training data.

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Uber, Lyft, DoorDash, Instacart, or Amazon Flex drivers * Freelancers * Remote workers * Technology enthusiasts * People interested in AI, robotics, or VR * Individuals who are patient, focused, and ...

Fully remote Duration: 12+ months Description: Seeking a Full Stack Developer that can architect ... Infrastructure is on Amazon - so, must have experience with Amazon Lambda, Amazon Cognito (Identity ...

APPLICATIONS DEVELOPER

Phoenix, AZ · On-site +1

$65K - $105K/yr

... Amazon Workspace environment. * Agile SCRUM. * Must be able to leverage SQL for complex data ... Remote work is a management option and not an employee entitlement or right. An agency may ...

Showing results 41-60

Remote Amazon Data Annotation information

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are popular job titles related to Remote Amazon Data Annotation jobs in Peoria, AZ?

For Remote Amazon Data Annotation jobs in Peoria, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Data Annotation jobs in Peoria, AZ look for?

The top searched job categories for Remote Amazon Data Annotation jobs in Peoria, AZ are:

What cities near Peoria, AZ are hiring for Remote Amazon Data Annotation jobs?

Cities near Peoria, AZ with the most Remote Amazon Data Annotation job openings:

Infographic showing various Remote Amazon Data Annotation job openings in Peoria, AZ as of August 2026, with employment types broken down into 47% Full Time, 37% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.

Remote VR Home Data Collector Specialists

Masis Staffing Solutions

Tempe, AZ • Remote

$17 - $17.50/hr

Temporary

Re-posted 22 days ago

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Job description

AI DATA COLLECTION SPECIALIST

$17.00/HR + WEEKLY BONUS | WORK FROM HOME AFTER PAID TRAINING

Location: Mesa, AZ

POSITION OVERVIEW

Masis Staffing Solutions is seeking reliable, detail-oriented individuals to participate in an exciting AI Data Collection Project helping train the next generation of AI-powered robots.

In this role, you will use a VR headset and mobile technology to complete everyday activities from home. Your movements and actions are recorded and reviewed to help improve AI and robotics technology.

No previous AI, robotics, or VR experience is required. Paid training is provided.

PAY & BENEFITS

  • $17.00 per hour
  • Weekly performance bonus up to $170
  • Weekly pay
  • Minimum 30 hours per week
  • Paid in-person training
  • Work from home after successful completion of training
  • VR equipment provided

PAID TRAINING

Training is completed in person in Mesa, AZ, and you are paid for your training time.

Employees must be available for 3 consecutive days of paid training, from:

9:00 AM – 5:30 PM

Training schedules are offered as either:

  • Friday, Saturday & Sunday
  • Monday, Tuesday & Wednesday

Employees must attend all 3 consecutive days of their selected training schedule.

IMPORTANT: INITIAL WORK COMMITMENT

After completing paid training, employees should be prepared to commit to approximately 6 hours of work per day during the first several weeks of the project.

This initial period is important because your recorded footage will be reviewed by our Quality Control (QC) team to make sure you understand the tasks and are consistently producing accurate, usable data.

As you demonstrate that you can successfully meet the project's quality and production expectations, your schedule may become more flexible.

Candidates should understand that this is not a highly flexible schedule from day one. A consistent time commitment is required during the initial evaluation period.

WHAT THE WORK IS LIKE

The activities themselves are simple, but the way they are performed is important.

You will complete everyday activities using slow, deliberate, and accurate movements while wearing a VR headset.

Activities may include:

  • Folding laundry
  • Organizing household items
  • Cleaning countertops and other surfaces
  • Picking up and moving light household items
  • Reaching, bending, and moving naturally
  • Following instructions through a mobile application
  • Repeating tasks as needed to capture quality data

The work requires patience, focus, consistency, and attention to detail.

Because movements need to be performed slowly and accurately, the work may be more physically tiring than it initially appears. Candidates should be comfortable performing these types of movements for several hours at a time.

QUALITY & PERFORMANCE EXPECTATIONS

Quality is an important part of this project.

Your recorded footage will be regularly reviewed by the QC team. Employees who consistently meet quality and production expectations will have the opportunity to continue on the project and may receive more flexibility in their schedule.

If an employee is unable to consistently meet the project's quality, accuracy, or production requirements, the assignment may be ended.

Our goal is to provide clear expectations and support employees in becoming successful on the project.

WHO IS A GOOD FIT?

This opportunity may be a great fit for:

  • Gamers
  • Gig workers
  • Uber, Lyft, DoorDash, Instacart, or Amazon Flex drivers
  • Freelancers
  • Remote workers
  • Technology enthusiasts
  • People interested in AI, robotics, or VR
  • Individuals who are patient, detail-oriented, and comfortable following instructions

REQUIREMENTS

  • Must be at least 18 years old
  • Must reside in Arizona
  • Comfortable using smartphones and mobile applications
  • Reliable high-speed internet
  • Smartphone in good working condition
  • Able to stand, bend, reach, and lift light household items while wearing a VR headset
  • Comfortable performing slow, controlled movements for extended periods
  • Reliable transportation to the Mesa training location
  • Must successfully complete a background check
  • Must successfully complete an oral swab drug screen
  • Must be able to commit to a minimum of 30 hours per week
  • Must be prepared to work approximately 6 hours per day during the initial QC review period
  • Must attend all 3 consecutive days of paid in-person training

EQUIPMENT

VR equipment will be provided for the project. Employees are responsible for properly caring for and returning company/project equipment when requested or when their assignment ends.

SCHEDULE

The initial weeks of the project require a consistent daily commitment of approximately 6 hours so your footage can be reviewed by QC and your performance can be evaluated.

Employees who successfully demonstrate consistent quality and production may have greater scheduling flexibility as they progress through the project.

APPLY TODAY

If you're comfortable with technology, patient with detailed tasks, and interested in participating in an innovative AI project, we encourage you to apply.

Masis Staffing Solutions
Mesa, Arizona

Company Description

Masis Staffing ensures peak service to its clients through our culture, experience, and ethics. We are a family-oriented, service-driven staffing firm with a sincere and responsible team dedicated to delivering custom solutions for all our client hiring needs. Our associates are the heart of every client solution and are a key asset to the continued development of our partnerships. Masis is known for the great care we take with employees and clients alike!
Masis Staffing is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.