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Data Annotation Tech Remote Jobs in Phoenix, AZ (NOW HIRING)

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Data Annotation Tech Remote information

See Phoenix, AZ salary details

$12

$22

$34

How much do data annotation tech remote jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data annotation tech remote in Phoenix, AZ is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $16.73 and $26.97 per hour, depending on experience, location, and employer.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What are the most commonly searched types of Data Annotation Tech jobs in Phoenix, AZ? The most popular types of Data Annotation Tech jobs in Phoenix, AZ are:
What are popular job titles related to Data Annotation Tech Remote jobs in Phoenix, AZ? For Data Annotation Tech Remote jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Data Annotation Tech Remote jobs in Phoenix, AZ look for? The top searched job categories for Data Annotation Tech Remote jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Data Annotation Tech Remote jobs? Cities near Phoenix, AZ with the most Data Annotation Tech Remote job openings:
Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Phoenix, AZ as of June 2026, with employment types broken down into 75% Full Time, 15% Part Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,175 per year, or $22.7 per hour.

Egocentric Data Collection

Objectways Technologies Llc

Phoenix, AZ • Remote

$20/hr

Full-time

Posted 5 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.