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Freelance Data Labeling Jobs (NOW HIRING)

SC

$60.75 - $68.75/hr

Products must be clean, neat, and impeccably presented (spotless bottles, forward-facing labels ... The RAW format retains the maximum amount of image data captured by the camera sensor, allowing for ...

Freelance Contract * Pay Rate: $15/hour What You'll Do * Review, evaluate, and annotate AI ... Experience in annotation, content review, quality assurance, data labeling, localization, or ...

Freelance * Pay Rate: 15 USD/per hour Depending on the project, you may work with text ... Annotate, categorize, or label text, audio, images, video, or other data where required. * Provide ...

Speakers/Writers

Fremont, CA ยท On-site

$15 - $60/hr

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Important Information This is a freelance position compensated on an hourly basis. Please note that ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... freelance position compensated on an hourly basis. Please note that this is not an internship ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Important Information: - This is a freelance position compensated on an hourly basis. Please note ...

... like data labeling or finding business insights, Labelbox enables teams to do so effectively and ... Important Information: - This is a freelance position compensated on an hourly basis. Please note ...

Showing results 21-40

Freelance Data Labeling information

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$14

$47

$132

How much do freelance data labeling jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for freelance data labeling in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance data labeling?

Freelance data labeling involves annotating or tagging data, such as images, text, or audio, to prepare it for use in machine learning and artificial intelligence projects. As a freelancer, you may work with companies or platforms that need large amounts of accurately labeled data to train their algorithms. Tasks can include identifying objects in photos, transcribing audio, or categorizing text. This work is typically remote and flexible, making it suitable for individuals seeking part-time or project-based opportunities.

What are the key skills and qualifications needed to thrive as a freelance data labeler, and why are they important?

To thrive as a Freelance Data Labeler, you need strong attention to detail, basic data analysis skills, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and sometimes knowledge of basic coding or spreadsheet software is beneficial. Reliability, time management, and effective communication are crucial soft skills for meeting deadlines and collaborating with remote teams or clients. These skills ensure the accurate and efficient preparation of high-quality labeled data, which is essential for training reliable machine learning models.

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

Freelance data labelers often encounter challenges such as repetitive tasks, tight deadlines, and varying quality standards between clients. Managing these challenges involves maintaining clear communication with clients about expectations, using productivity tools to track progress, and regularly reviewing guidelines to ensure accuracy. Additionally, taking short breaks and organizing tasks can help prevent fatigue and maintain high-quality output. Building a network with other labelers can also provide support and tips for handling complex projects.

What is the difference between Freelance Data Labeling vs Data Annotation Specialist?

AspectFreelance Data LabelingData Annotation Specialist
CredentialsNo formal credentials required; experience and skills matterOften requires knowledge of annotation tools and sometimes certifications
Work EnvironmentRemote, flexible, project-basedTypically employed by companies, may work remotely or on-site
Employer & Industry UsageFreelance platforms, AI and machine learning projectsTech companies, research institutions, AI firms

Freelance Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and diverse projects. Data Annotation Specialists are often employed by organizations to perform detailed annotation work, sometimes requiring specific certifications. Both roles support AI development but differ mainly in employment structure and credentials.

More about Freelance Data Labeling jobs

What cities are hiring for Freelance Data Labeling jobs?

Cities with the most Freelance Data Labeling job openings:

What are the most commonly searched types of Data Labeling jobs?

The most popular types of Data Labeling jobs are:

What states have the most Freelance Data Labeling jobs?

States with the most job openings for Freelance Data Labeling jobs include:

Infographic showing various Freelance Data Labeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Freelance Annotator (English) - AI Trainer

Mindrift - Data annotation

Austin, TX โ€ข Remote

$20/hr

Part-time

Re-posted 16 days ago


Job description

Please submit your resume in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.ย Participation isย project-based, not permanent employment.

What this opportunity involves

Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part inย online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.

While each project involves unique tasks, contributors may:

  • Carefully review provided data (text, images, or videos);
  • Label or classify content based on project guidelines;
  • Identify and flag factually incorrect, sensitive, inappropriate, or unclear material.

What we look for

This opportunity is a good fit for candidates open to part-time, non-permanent projects. Ideally, contributors will have:

  • Bachelor's degreeย in any discipline;
  • Minimumย 1 year of experienceย in any professional role;
  • Logical thinking, fact-checking and reasoning abilities;
  • Strong attention to detail and ability to understand and follow complex instructions;
  • Strong communication skills, including the ability to ask clarifying questions when needed;
  • Genuine interest in technology and artificial intelligence;
  • Strong written and spoken English (C1+).

How it worksย 

Apply Pass qualification(s) ย Join a projectย (when available) Complete tasks Get paid

Why this freelance opportunity might be a great fit for you

  • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments;
  • Participate into advanced AI projects and gain valuable experience that enhances your portfolio;
  • Influence how future AI models understand and communicate in your field of expertise.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation

Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks - up to the equivalent ofย $20/hr. Because payment is per task, a faster pace raises your effective hourly rate. Keep in mind, quality standards must be maintained, regardless of speed.