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Freelance Data Labelling Jobs (NOW HIRING)

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible ... Identify and label languages and dialects from model-generated responses. * Review outputs from two ...

RWS TrainAI

Language Data Annotator (US)

Dallas, TX · On-site +1

Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible ... Identify and label languages and dialects from model-generated responses. * Review outputs from two ...

Welo Data

Map Design & UX Specialist (US)

Charleston, WV · Remote

$29/hr

... label is too small to read? Welo Data is seeking professional designers to help evaluate the ... Help improve how users interact with personalized map data. Project Details * Job Type: Freelance ...

Toloka

As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover ...

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 Labelling information

What is freelance data labelling?

Freelance data labelling involves working independently to annotate or tag data, such as images, text, or audio, so that it can be used to train machine learning models. As a freelancer, you may work with different clients or platforms on a project-by-project basis, labeling data according to specific guidelines. This job requires attention to detail, consistency, and sometimes domain-specific knowledge, depending on the project. Freelance data labellers often work remotely and need reliable internet access and a computer. It can be a good entry-level role for those interested in artificial intelligence and machine learning.

What are the typical challenges faced by freelance data labellers, and how can they be effectively managed?

Freelance data labellers often encounter challenges such as repetitive tasks, tight deadlines, and ensuring high accuracy in their work. Managing these challenges involves setting clear work schedules, taking regular breaks to maintain focus, and using quality assurance tools or peer reviews to minimize errors. Additionally, effective communication with clients or project managers helps clarify labeling guidelines and expectations, which can significantly reduce misunderstandings and rework.

What are the key skills and qualifications needed to thrive as a Freelance Data Labeller, and why are they important?

To thrive as a Freelance Data Labeller, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data labelling platforms, annotation tools, and sometimes knowledge of machine learning concepts or specific project guidelines is important. Excellent time management, self-motivation, and the ability to follow instructions carefully are crucial soft skills for this role. These skills ensure high-quality labelled data, which is essential for training reliable AI and machine learning models.

What is the difference between Freelance Data Labelling vs Freelance Data Annotation?

AspectFreelance Data LabellingFreelance Data Annotation
CredentialsBasic understanding of data types, attention to detailSimilar credentials, often overlapping with data labelling skills
Work EnvironmentRemote, project-basedRemote, project-based
Industry UsageUsed across AI, machine learning, and data science projectsUsed in AI, machine learning, and computer vision tasks

Both roles involve preparing data for AI models, with data labelling focusing on categorizing data and data annotation often involving adding detailed labels or annotations. The main difference lies in the scope and type of labels, but they are closely related and often overlap in freelance work.

More about Freelance Data Labelling jobs
What cities are hiring for Freelance Data Labelling jobs? Cities with the most Freelance Data Labelling job openings:
What are the most commonly searched types of Data Labelling jobs? The most popular types of Data Labelling jobs are:
What states have the most Freelance Data Labelling jobs? States with the most job openings for Freelance Data Labelling jobs include:
What job categories do people searching Freelance Data Labelling jobs look for? The top searched job categories for Freelance Data Labelling jobs are:
Freelance Data Labelling jobs near you
Infographic showing various Freelance Data Labelling job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Freelance Annotator (English) - AI Trainer

Toloka Annotators

New York, NY • On-site, Remote

$23/hr

Part-time

Posted yesterday

Job description

Please submit your resume in English and indicate your level of English.
At Toloka, we connect smart, curious people from around the world with freelance online tasks that train and improve artificial intelligence.
What we do
The Toloka Annotators connects individuals with Generative AI projects from leading tech innovators. Our mission is to unlock the full potential of AI by involving real people from around the world in the development process.
About the Role
Annotation is what helps AI make sense of the world. As an annotator, you may be invited to take part in online projects such as rating AI-generated content, evaluating factual accuracy, or comparing responses - when projects are available.
Responsibilities:
  • 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

Important note: This is project-based work. Tasks are available only when projects are active. You may be invited to one or more projects depending on your profile and current opportunities.
Each project has its own compensation level based on scope and expertise required. On this project, AI trainers earn up to $23 per hour equivalent.
Requirements
  • Bachelor's degree in any discipline
  • Minimum 1 year of experience in any professional role
  • Advanced level of English (C1 or higher), both written and spoken
  • 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

Benefits
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.
  • Work on advanced AI projects and gain valuable experience that enhances your portfolio.
  • Influence how future AI models understand and communicate in your field of expertise.

Apply