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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

MethodHub

Data Annotator

Tampa, FL · On-site

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth * Basic understanding of AI/ML ...

New

Q ANALYSTS LLC

Data Annotation Technician

Kirkland, WA · On-site +1

... AI) and machine learning (ML). Q Analysts is headquartered in San Jose, CA with a presence ... Q Analysts is looking for Data Annotation Technicians to support Ground Truth Data Collection ...

Welocalize, Inc

Data Quality Analyst

San Francisco, CA · On-site

$125 - $150/hr

Modify and refine machine learning data creation, annotation, and rating guidelines. * Model Training and Evaluation: Initiate model training processes using internal tools and command-line ...

Simbe Robotics, Inc.

$125 - $150/hr

Simbe combines robotics, computer vision, machine learning, data infrastructure, and customer ... This role goes beyond annotation coordination. You will help build the data engine behind Simbe ...

MethodHub

Data Labeler / Data Annotator

Tampa, FL · On-site

Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth. * Strong attention to detail.

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

As an early member of our engineering team, you'll work across the machine learning lifecycle - from data collection, annotation, and validation to experimentation, model development, deployment, and ...

FloVision Solutions

Machine Learning Engineer

As an early member of our engineering team, you'll work across the machine learning lifecycle - from data collection, annotation, and validation to experimentation, model development, deployment, and ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

... data workflows, including collection, preprocessing, annotation, versioning, and model integration. • Implement and refine training strategies for large-scale AI systems, including vision, video ...

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Freelance Machine Learning Data Annotation information

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How much do freelance machine learning data annotation jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for freelance machine learning data annotation in the United States is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.00 per hour, depending on experience, location, and employer.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are the key skills and qualifications needed to thrive as a freelance machine learning data annotation specialist?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

Can I work for freelance machine learning data annotation with no experience?

Freelance machine learning data annotation jobs often do not require prior experience, as many tasks involve simple labeling or categorization that can be learned quickly. Basic computer skills, attention to detail, and familiarity with annotation tools are helpful, and training is usually provided. However, building a portfolio or gaining some familiarity with data annotation platforms can improve job prospects.
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Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $45,483 per year, or $21.9 per hour.

Data Annotator

MethodHub

Tampa, FL • On-site

Other

Posted 3 days ago

New

Job description

Data Labeler / Data Annotator


Location: Tampa, FL (5 days onsite)

Duration: Long-term Contract


Description and Skills:

  • 4-6 years of experience in data labeling/annotation.
  • Perform detailed data annotation and classification activities based on project-specific labeling guidelines and business rules.
  • Experience in preparing, labeling, reviewing, and validating large datasets used for machine learning and artificial intelligence applications.
  • Experience with text, image, video, audio, and document annotation.
  • Experience working with data annotation and machine learning pipeline management platforms and tools such as Label Studio, CVAT, Prodigy, Amazon SageMaker Ground Truth
  • Basic understanding of AI/ML data preparation
  • Health Insurance/Healthcare/payment domain knowledge is an advantage

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