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Flexible Data Annotation Tech Jobs (NOW HIRING)

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

This is a fully remote, flexible contract role. No prior AI industry experience required - just ... No prior AI or data annotation experience required Nice to Have * Prior experience with data ...

TSMG

AI/ML Data Contributor

Jackson, MS

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Fargo, ND · Remote

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Philadelphia, PA

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

TSMG

AI/ML Data Contributor

Chicago, IL

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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

As of Jun 4, 2026, the average hourly pay for flexible data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

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

To thrive as a Flexible Data Annotation Tech, you need attention to detail, accuracy, and a basic understanding of data labeling or annotation processes, often requiring at least a high school diploma. Familiarity with annotation platforms, data labeling tools, and productivity software is typically necessary, and experience with machine learning datasets can be advantageous. Strong time management, communication, and adaptability help you excel in collaborative and ever-changing project environments. These skills ensure high-quality, consistent data output that directly impacts the performance of AI and machine learning systems.

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

Flexible Data Annotation Techs often encounter challenges such as maintaining consistency across large volumes of data, adapting to evolving project guidelines, and managing tight deadlines. To address these challenges, it's important to establish clear communication with project leads, regularly review annotation protocols, and utilize available training resources. Building strong attention to detail and staying organized can also help ensure high-quality outputs and job satisfaction.

What are Flexible Data Annotation Tech jobs?

Flexible Data Annotation Tech jobs involve labeling, categorizing, or tagging data—such as images, text, audio, or video—to help train machine learning models. These roles are often remote or offer flexible schedules, making them appealing for those seeking adaptable work hours. Tasks can include identifying objects in photos, transcribing audio, or sorting information based on specific guidelines. The work is essential for improving the accuracy of artificial intelligence systems by providing them with high-quality annotated data. No advanced technical skills are usually required, but attention to detail and reliability are important.

How much does DataAnnotation Tech pay?

Data Annotation Technicians typically earn between $12 and $20 per hour, depending on experience, location, and the complexity of tasks. Many roles are remote and may require basic skills in data labeling tools and attention to detail.

What is the difference between Flexible Data Annotation Tech vs Data Labeler?

AspectFlexible Data Annotation TechData Labeler
CredentialsBasic computer skills, training in annotation toolsBasic education, sometimes specific software training
Work EnvironmentRemote or on-site, tech-focusedPrimarily remote or on-site, data processing settings
Industry UsageAI, machine learning, data scienceAI, machine learning, data preparation
Job FocusApplying labels to datasets using annotation toolsLabeling data according to guidelines

Flexible Data Annotation Tech roles involve using specialized tools to annotate datasets for AI training, often requiring some technical training. Data Labelers focus on applying labels to data, typically with less technical complexity. Both roles are essential in AI development but differ mainly in technical requirements and scope.

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Flexible Data Annotation Tech jobs near you
Infographic showing various Flexible Data Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 54% Full Time, 30% Part Time, 2% Temporary, 12% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Remote Icelandic Data Annotation Specialist - Freelance

Remote Icelandic Data Annotation Specialist - Freelance

Sigma AI

Boston, MA • Remote

$18.50 - $24.75/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

A global technology company is hiring for the Icelandic Linguistic Projects role, which is entirely remote. The job requires fluency in both Icelandic and English, with responsibilities including data categorization, annotation, correction, and evaluation. This part-time position is aimed at entry-level candidates.

Candidates must have basic computer skills and stable internet access. The company emphasizes a transparent and ethical hiring process without third-party involvement. #J-18808-Ljbffr

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About Sigma AI

Sourced by ZipRecruiter

Industry

It services

Company size

201 - 500 Employees

Headquarters location

San Francisco, CA, US

Year founded

2008

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