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Remote Data Labeling Analyst Jobs in Gilbert, AZ

Fully Remote * Commitment: 1040 hours/week, flexible schedule What You'll Do * Analyze realistic ... Prior involvement with AI, data labeling, or security research Why Join Us * Work directly on ...

Data Security & DLP Analyst $38-60/hr Remote Freelance CODING We partner with the world's leading ... Generate, label, and validate data security cases used to train and evaluate AI systems * Help AI ...

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$103.80K - $142.50K/yr

Remote/Hybrid: This role is based remotely but if you live within a 50-mile radius of Sunnyvale, CA ... The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling ...

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts, including data structures, collection and cleansing, and structured and unstructured data analysis and ...

... for research and analytical purposes. Ability to use data to glean insights and form ... Strong ability to stay connected to remote partners and stakeholders.

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

DATA ANALYST INTERMEDIATE Apply now Job No: 540431 Work Type: Full-time Location: PHOENIX ... All work, including remote work, should be performed within Arizona unless an exception is properly ...

Remote, United States Date Posted: May 11, 2026 Employment Type: Full Time Job ID: R-1915 ... predictive analytics. As one of the largest global pharma intelligence solution providers ...

Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

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Remote Data Labeling Analyst information

See Gilbert, AZ salary details

$33.9K

$82.4K

$135.6K

How much do remote data labeling analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data labeling analyst in Gilbert, AZ is $82,376.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What job categories do people searching Remote Data Labeling Analyst jobs in Gilbert, AZ look for? The top searched job categories for Remote Data Labeling Analyst jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Remote Data Labeling Analyst jobs? Cities near Gilbert, AZ with the most Remote Data Labeling Analyst job openings:

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