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Remote Amazon Data Annotation Jobs in Arizona (NOW HIRING)

Deloitte

Databricks Manager

Tempe, AZ · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

TriWest Healthcare

Sr AI Solution Architect

Phoenix, AZ · On-site

We offer remote work opportunities (AK, AR, AZ, CO, FL, HI, IA, ID, IL, KS, LA, MD, MN, MO, MT, NE ... Technical decisions at this level carry material compliance and patient data consequences. This ...

Iridium Satellite, LLC

Senior Software Engineer

Chandler, AZ · On-site +1

$118K - $155K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Update issue/feature data in Atlassian Project/Software tracking tools * Follow existing Iridium ...

Iridium Satellite, LLC

Senior Software Engineer

Chandler, AZ · On-site +1

$118K - $155K/yr

... and remote operations all rely on Iridium to stay connected. We take our responsibility for ... Update issue/feature data in Atlassian Project/Software tracking tools * Follow existing Iridium ...

Iridium Satellite, LLC

Software Engineer III

Chandler, AZ · On-site +1

$55.50 - $74.50/hr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Iridium Satellite, LLC

Software Engineer III

Chandler, AZ · On-site +1

$55.50 - $74.50/hr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

Iridium Satellite, LLC

Software Engineer III

Chandler, AZ · On-site +1

$99K - $130K/yr

... and data connectivity anywhere in the world. For over 20 years, Iridium's unique network and ... and remote operations all rely on Iridium to stay connected. We take our responsibility for ...

All JobsRemote Amazon Data Annotation JobsRemote Amazon Data Annotation Jobs in Arizona

Remote Amazon Data Annotation information

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 some 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 are Remote Amazon Data Annotation jobs?

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 are the key skills and qualifications needed to thrive as a Remote Amazon Data Annotation Specialist, and why are they important?

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 the most commonly searched types of Amazon Data Annotation jobs in Arizona? The most popular types of Amazon Data Annotation jobs in Arizona are:
What are popular job titles related to Remote Amazon Data Annotation jobs in Arizona? For Remote Amazon Data Annotation jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in Arizona look for? The top searched job categories for Remote Amazon Data Annotation jobs in Arizona are:
What cities in Arizona are hiring for Remote Amazon Data Annotation jobs? Cities in Arizona with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you
Infographic showing various Remote Amazon Data Annotation job openings in Arizona as of June 2026, with employment types broken down into 63% Full Time, 34% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Egocentric Data Collection

Objectways Technologies Llc

Phoenix, AZ • Remote

$20/hr

Full-time

Posted 28 days ago

Job description

Position Summary:
We are seeking reliable individuals to participate in a paid video data collection project. Contributors will wear a comfortable head strap, attach their smartphone, or Smart Glasses(Provided by us) and record first-person (egocentric) video of normal daily activities. This data will be used to help improve next-generation AI, robotics, and computer vision systems.
What You Will Do:
Wear a head-mounted strap and securely attach your smartphone or Smart Glasses( Provided by Us)
Record 4 hours of usable first-person video per session.
Perform simple daily tasks such as walking, organizing items, cooking, shopping, working at a desk, or other routine activities.
Follow the provided capture guidelines to ensure quality.
Upload the recorded videos after each session.
Work from home:
We do not need you to work from the address we posted. You can work from home. You can collect the Smart Glasses or Mobile Phone Mounting Strap from our office in Phoenix.
Requirements:
Must be comfortable wearing a head-mounted smartphone or Smart glass for extended periods.
Ability to complete 68 hours of total effort to capture 4 hours of quality video.
Access to a modern smartphone with good camera quality or you can use our Smart Glasses
Must follow instructions carefully.
Reliable, self-motivated, and able to complete tasks independently.
Compensation:
You are expected to deliver us 4 hours of Usable videos. The task will take about 6 to 8 hours to collect 4 hours of Usable Videos. You will be paid $160 for 8 hours.
Bonus incentives are available for completing multiple sessions.
All equipment (head strap or Smart Glass) will be provided.
Sample Tasks:
Here are some of the tasks that we want to capture
https://objectways.com/dataset-explorer/
About Us:
Objectways is a global leader in AI data collection and annotation, supporting major technology companies in building high-quality training datasets for cutting-edge machine learning applications.

This is a remote position.