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Online Data Labelling Jobs (NOW HIRING)

Workila

Data Analyst 1

Urbana, MD

Strong data analysis and profiling skills. * Strong knowledge of SQL needed to support data ... Duration: 6+ months Additional Information Apply online by clicking on green label "I am Interested ...

PROFESSIONAL STAFFING SERVICES GROUP INC

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Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Experience with data labeling, taxonomy design, and classification frameworks. * Strong knowledge ... Industry experience in entertainment or online commerce is a strong plus, including domains such as ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Experience with data labeling, taxonomy design, and classification frameworks. * Strong knowledge ... Industry experience in entertainment or online commerce is a strong plus, including domains such as ...

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Online Data Labelling information

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$46K

$165K

$243.5K

How much do online data labelling jobs pay per year?

As of Aug 22, 2026, the average yearly pay for online data labelling in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is online data labelling?

Online data labelling is the process of tagging or annotating data—such as images, text, or audio—using digital tools to make it understandable for machine learning algorithms. Data labelers review raw data and apply predefined labels to help train artificial intelligence systems, enabling them to recognize patterns and make predictions. This work is essential for improving the accuracy and performance of AI models in various applications, such as image recognition, natural language processing, and autonomous vehicles. Online data labelling jobs are often remote and require attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as an online data labeller?

To excel as an Online Data Labeller, you need strong attention to detail, basic data handling skills, and familiarity with data annotation protocols, often requiring at least a high school diploma. Proficiency with data labelling platforms such as Labelbox, Supervisely, or Scale AI, and sometimes knowledge of spreadsheet tools, is typically necessary. Reliability, consistency, and the ability to follow detailed guidelines make individuals stand out in this role. These skills ensure high-quality, accurately labelled datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by online data labellers, and how can they be managed effectively?

Online data labelers often encounter challenges such as repetitive tasks, strict accuracy requirements, and tight deadlines. Maintaining high attention to detail is crucial, as even small errors can impact the quality of machine learning models. To manage these challenges, it's helpful to take regular breaks, use productivity tools, and communicate any ambiguities or unclear instructions with supervisors or team leads. Many organizations also offer support channels and quality assurance feedback to help labelers continuously improve their work.

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

AspectOnline Data LabellingData Annotation
CredentialsBasic computer skills, attention to detailSimilar, often no formal certification required
Work EnvironmentRemote, flexibleRemote or in-office, depending on project
Industry UsageCommon in AI/ML data preparationUsed across AI, computer vision, NLP projects
Search IntentOnline Data Labelling vs Data Annotation

Online Data Labelling and Data Annotation are closely related roles in AI data preparation. While both involve labeling data for machine learning, Online Data Labelling often emphasizes quick, online tasks, whereas Data Annotation may include more detailed, specialized labeling. Both roles are essential in training AI models and share similar skills and work environments.

More about Online Data Labelling jobs

What cities are hiring for Online Data Labelling jobs?

Cities with the most Online 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 Online Data Labelling jobs?

States with the most job openings for Online Data Labelling jobs include:

Online Data Labelling jobs near you
Infographic showing various Online Data Labelling 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 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Analyst 1

Workila

Urbana, MD

Contractor

Re-posted 28 days ago

Job description

Company Description

The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Workila, and make delivering innovative work part of your extraordinary career.

Job Description

Client: Fannie Mae 

W2 only contract 

  • Must be able to quickly ramp up and gain functional understanding of new subject area
  • Has strong written/verbal communication skills with an ability to provide clear and concise daily status updates to team and management
  • Must be proactive in identifying efficiencies and process improvements.
  • Works with business and technical partners seamlessly to address inquiries and release needs.
  • Enables productivity by sharing knowledge within and across teams.
  • Must be able to quickly adapt to changing priorities.
Subject Area/Functional Knowledge
  • Strong data analysis and profiling skills.
  • Strong knowledge of SQL needed to support data analysis and testing.
  • Ability to collect, translate, and document complete and effective requirements following all applicable standards.
  • Ability to develop test cases and perform testing.
  • Can perform data validation/reconciliation using sources and targets.
  • Demonstrates an ability to build an analysis approach, executes data analysis and document issue(s) in accordance with standards.
  • Able to convert business requirements into data requirements and maintain data specifications
Nice to have
  • Knowledge of mortgage industry or finance a plus.
  • Past experience working in Fannie Mae Multifamily teams.
  • Experience with Microsoft TFS.
  • Location: Urbana, MD with travel to Washington, DC
  • Duration: 6+ months
Additional Information

Apply online by clicking on green label "I am Interested" 

or call if you have any question however applying online is the best way to apply. 

US #  571-403-0435 

India # 9999 883 470 

Apply