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Data Annotator Jobs (NOW HIRING)

RWS Group

Data Annotator for AI Models (Dutch)

RWS Group is seeking USA-based Dutch Data Annotators to annotate, evaluate, and curate text, video, and geographic data for AI models. The role involves collaboration with project managers and ...

RWS Group

Data Annotator for AI Models (Dutch)

RWS Group is seeking USA-based Data Annotators to improve the reliability of AI models. The role involves annotating, evaluating, and curating text, video, and geographic data while collaborating ...

RWS Group

Data Annotator for AI Models (Dutch)

RWS Group is seeking USA-based Dutch Data Annotators to annotate, evaluate, and curate text, video, and geographic data for AI models. The role involves collaboration with project managers and ...

Grid Dynamics Holdings

Data Scientist

Develop and implement monitoring frameworks to track evaluation progress, annotator performance ... Data Pipeline & Delivery: Manage the end-to-end data pipeline from raw annotations to clean ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$172K - $258K/yr

Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$172K - $258K/yr

Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development.

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Data Annotator information

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$46K

$165K

$243.5K

How much do data annotator jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data annotator 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 are Data Annotators?

Data Annotators are professionals who label or tag data such as images, text, audio, or video to prepare it for use in machine learning and artificial intelligence (AI) models. Their work is crucial because accurately labeled data helps algorithms learn to recognize patterns and make decisions. Data annotators may use specialized software tools to highlight objects, transcribe speech, or classify documents according to specific guidelines. The quality and accuracy of their annotations directly affect the performance of AI systems.

What is the difference between Data Annotator vs Data Labeler?

AspectData AnnotatorData Labeler
Required CredentialsHigh school diploma or equivalent; some roles may prefer basic technical skillsSimilar; often requires only basic education and attention to detail
Work EnvironmentRemote or office-based; working with datasets and annotation toolsPrimarily remote; focused on labeling data for machine learning
Industry UsageUsed across AI, machine learning, and data science industriesCommonly used in AI and machine learning sectors for training data
Search & Comparison IntentOften compared due to similar tasks and roles in data preparation

Both Data Annotators and Data Labelers perform data preparation tasks for AI models, often with overlapping skills and work environments. The main difference lies in terminology used by employers or platforms, but their roles are largely similar, focusing on labeling data to improve machine learning algorithms.

What is the role of a data annotator?

A data annotator is responsible for labeling and categorizing data such as images, text, or videos to help machine learning models understand and process information. This role often involves using annotation tools and requires attention to detail to ensure data accuracy, which is essential for training effective AI systems.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the annotation tasks. Some positions may offer project-based pay or part-time schedules, and familiarity with annotation tools can improve earning potential.

What are the typical challenges Data Annotators face when working with large datasets, and how can they overcome them?

Data Annotators often encounter challenges such as repetitive tasks, maintaining high accuracy, and dealing with ambiguous data points when working with large datasets. To overcome these, it's important to follow clear annotation guidelines, regularly communicate with team leads or project managers about uncertainties, and leverage quality control tools provided by the organization. Collaborating with peers and participating in review sessions can also help ensure consistency and improve the overall quality of the annotations.

What is a data annotation job?

A data annotation job involves labeling or tagging data such as images, text, or videos to help machine learning models understand and process information. Annotators typically use specialized tools and need attention to detail to ensure data accuracy, which is essential for training AI systems effectively.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or audio to help machine learning models understand and learn from the data. They often use specialized tools and need attention to detail to ensure accuracy, supporting AI development and data quality. The role typically requires good organizational skills and may involve working with large datasets on flexible schedules.

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

To thrive as a Data Annotator, you need attention to detail, accuracy, and a basic understanding of data structures, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes basic coding skills are typically required. Strong organizational skills, patience, and the ability to follow precise guidelines make someone stand out in this position. These skills and qualities are crucial for producing high-quality datasets that drive effective machine learning and AI model development.
More about Data Annotator jobs
What cities are hiring for Data Annotator jobs? Cities with the most Data Annotator job openings:
What are the most commonly searched types of Data Annotator jobs? The most popular types of Data Annotator jobs are:
Who are the top companies hiring for Data Annotator jobs? The top employers for Data Annotator jobs are:
What states have the most Data Annotator jobs? States with the most job openings for Data Annotator jobs include:
What job categories do people searching Data Annotator jobs look for? The top searched job categories for Data Annotator jobs are:
Data Annotator jobs near you
Infographic showing various Data Annotator job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Annotator for AI Models (Dutch)

RWS Group

Remote

Full-time

Posted 9 days ago

Job description

Job Summary:
RWS Group is seeking USA-based Dutch Data Annotators to annotate, evaluate, and curate text, video, and geographic data for AI models. The role involves collaboration with project managers and stakeholders to ensure quality and alignment in the annotation process.
Responsibilities:
• Annotate data accurately and consistently according to predefined guidelines in the required language.
• Perform basic research as needed to ensure accurate annotation.
• Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.
• Maintain high attention to detail and quality throughout the annotation process.
• Continuous learning and adaptability; willingness to provide feedback and ask questions.
• Training will be provided post-hire.
• Collaborate closely with RWS Project Managers and client stakeholders through regular video calls to discuss guidelines, quality expectations, and project updates.
Qualifications:
Required:
• Native-level proficiency in Dutch.
• Excellent comprehension and written communication skills in English.
• Ability to work full time, from 8:00 AM to 5:00 PM PST (Pacific Standard Time).
• Bachelor's degree or equivalent work experience required.
• Familiarity with Excel or Google Sheets, including basic formulas.
• Good general communication skills.
• Detail-oriented with the ability to understand and follow instructions.
• Ability to meet deadlines.
• Responsible, reliable, and communicative.
• Must successfully pass a client exam and interview with the hiring team as part of the selection process.
• A personal laptop/desktop to access RWS systems.
Preferred:
• Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.
• A broad range of interests with specific areas of expertise is a plus.
• Experience in a professional work environment.
• Previous experience with data annotation tasks.
Company:
RWS is a global AI solutions company empowering the world’s most trusted enterprise AI. Founded in 1958, the company is headquartered in Slough, GBR, with a team of 5001-10000 employees. The company is currently Late Stage.

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