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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 ...

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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.

How much do data annotation side hustle people make?

Data annotation side hustles typically pay between $5 and $20 per hour, depending on the complexity of the task and the platform used. Earnings can vary based on experience, accuracy, and the volume of work completed, with some freelancers earning a few hundred dollars monthly as they build skills and reputation.

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.

What is the hourly rate for data labeling?

The hourly rate for freelance data labeling typically ranges from $10 to $25, depending on the complexity of the task, the platform used, and the experience of the labeler. Rates can vary based on project requirements and whether the work is paid per hour or per task completed.

Is data labelling a good career?

Data labelling is a common entry-level role in data annotation and machine learning workflows, often involving tasks like image, text, or audio tagging. It can provide flexible work schedules and opportunities to develop skills in data management and AI tools, but it typically offers lower pay and limited career advancement without additional training or experience.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Many work as freelancers, which allows for flexible schedules but may result in variable income. Some projects pay per label or task rather than hourly.
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Freelance Data Labelling jobs near you
Infographic showing various Freelance Data Labelling job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 5% Part Time, 5% Temporary, and 30% Contract. Highlights an 55% In-person, 5% Hybrid, and 40% Remote job distribution.
Search and Data Labelling Rater - German

Search and Data Labelling Rater - German

Welo Data

Austin, TX • Remote

Part-time

Posted 25 days ago

Job description

We are looking for detail-oriented Search & Data Labeling Raters specifically - German Language to support an AI data annotation project focused on improving e-commerce search experiences. In this role, you will evaluate the relevance of search results by analyzing customer queries and matching them with appropriate products. Your work will directly contribute to enhancing search quality and overall user experience.

Key Responsibilities:
  • Analyze and understand the intent behind customer search queries
  • Identify product types (PT) and relevant attributes (e.g., brand, size, color) within queries
  • Evaluate the relevance between search queries and product listings using defined guidelines (ESCI framework)
  • Determine product availability and validate product links
  • Provide accurate, consistent, and high-quality annotations
  • Follow project guidelines and meet productivity and quality benchmarks

Project Details:

  • Start Date: ASAP
  • Duration: 4 weeks
  • Task Type: AI Data Annotation 
  • Job Type: Freelance contract
  • Pay Rate: $7 USD/hour
  • Location: Remote

Requirements:

  • Strong analytical and comprehension skills
  • Ability to understand e-commerce search behavior
  • High attention to detail and accuracy
  • Basic understanding of online shopping platforms
  • Proficiency in the required language
  • Ability to follow detailed guidelines and work independently

Join our team and help shape the future of AI communication!

$7 - $7 an hour

Why Join Welo Data?  

✨ Limitless Flexibility  

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

How to Apply? 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

About Welo Data 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.