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Freelance Data Labeling Jobs (NOW HIRING)

Welo Global

Expert Rater Project - English (US)

$22.14/hr

Freelance (with the possibility of a Full-time employment extension based on performance and ... Understanding of data labeling, annotation, and evaluation methodologies - Required * An academic ...

Jobs for Humanity

Speakers/Writers

Vancouver, WA

$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 ...

Jobs for Humanity

Speakers/Writers

Rockford, IL · On-site

$15 - $60/hr

... like data labeling or finding businessinsights, Labelbox enables teams to do so effectively ... This is a freelance position compensated on an hourly basis. Pleasenote that this is not an ...

Jobs for Humanity

Speakers/Writers

Kansas City, MO

$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 ...

Procter & Gamble

Laboratory Technician

Mason, OH · On-site

$17.75 - $23.75/hr

Receive, label and analyze samples (blood, toxic, tissue etc.) * Design and execute laboratory ... Record all data and results in specified forms (paper and electronic) with accuracy and ...

Procter & Gamble

Laboratory TechnicianOn-Site

Mason, OH

$17.75 - $23.75/hr

Receive, label and analyze samples (blood, toxic, tissue etc.) Design and execute laboratory ... Record all data and results in specified forms (paper and electronic) with accuracy and ...

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Freelance Data Labeling information

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$14

$47

$132

How much do freelance data labeling jobs pay per hour?

As of Jul 23, 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 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.

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 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 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.
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:
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What job categories do people searching Freelance Data Labeling jobs look for? The top searched job categories for Freelance Data Labeling jobs are:
Freelance Data Labeling jobs near you
Infographic showing various Freelance Data Labeling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Senior Python Engineer - AI Coding Agent Evaluation (Freelance)

Mindrift

Houston, TX • Remote

$200/hr

Part-time

Posted 7 days ago

Job description

Please submit your CV 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. Participation is project-based, not permanent employment.What this opportunity involves:
We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.


You'll create challenging tasks and evaluation criteria within realistic simulated environments:

  • Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history
  • Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent
  • Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient
  • Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust

What this is NOT:

  • Not data labeling
  • Not prompt engineering
  • Not writing code from scratch - the agent writes most of the code; you guide and evaluate

What we look for:

  • 8+ years in software development
  • Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis
  • Experience writing tests (functional, integration)
  • English proficiency - B2+

Why this is hard:
Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.

How it works
Apply Pass qualification(s) Join a project Complete tasks Get paidEffort estimate


Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Compensation:
Up to $200/hr equivalent, depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.

Apply