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Remote Data Annotation Jobs in Gilbert, AZ (NOW HIRING)

Alignerr

Data Security & DLP Analyst

Phoenix, AZ · Remote

$38 - $60/hr

Familiarity with AI training or data annotation workflows Why Join Us * Work directly on frontier AI systems alongside top research labs * Fully remote and flexible set your own hours and workload

Alignerr

Econometrics Instructor

Phoenix, AZ · Remote

Familiarity with AI systems, model evaluation, or data annotation workflows. Why Join Us Work on cutting‐edge AI projects alongside top research labs. Fully remote and flexible -- design your own ...

Alignerr

Threat Intelligence Analyst

Phoenix, AZ · Remote

Prior work with AI platforms or data annotation tools Why Join Us * Work directly on frontier AI systems alongside top research labs * Fully remote and flexible structure your hours around your life

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Remote Data Annotation information

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$9

$33

$74

How much do remote data annotation jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote data annotation in Gilbert, AZ is $33.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.25 and $43.72 per hour, depending on experience, location, and employer.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.
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Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Gilbert, AZ as of May 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,053 per year, or $33.7 per hour.

German Data Annotation Specialist Remote Canada (Part-Time)

Cohere

Phoenix, AZ • Remote

Part-time, Contractor

This job post has expired today. Applications are no longer accepted.

Job description

A cutting-edge technology firm is seeking a Data Annotation Specialist to enhance the performance of its models via accurate data labeling and correction. This part-time independent contractor position requires strong proficiency in Modern Standard German, and the ability to commit to at least 16 hours per week. Candidates should be meticulous and capable of handling repetitive tasks while maintaining high accuracy.

The role is remote and allows individuals to work independently while ensuring quality data output. #J-18808-Ljbffr

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