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Data Annotator Jobs (NOW HIRING)

Linguistic Annotator

$7.25 - $17/hr

The Linguistic Annotator will work on transcribing and annotating audio recordings for use in ... Segmenting and labeling speech and text data with linguistic and research categories of interest

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 ...

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.

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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How much do data annotator jobs pay per year?

As of Jun 7, 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 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 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:
Infographic showing various Data Annotator job openings in the United States as of May 2026, with employment types broken down into 18% Internship, 64% As Needed, and 18% Nights. Highlights an 56% Physical, 1% Hybrid, and 43% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Linguistic Annotator

$7.25 - $17/hr

Part-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


University Of Pennsylvania rating

8.1

Company rating: 8.1 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

131st of 534 rated colleges and universities


Job description

University Overview
The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been consistently ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers.
Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
Posted Job Title
Linguistic Annotator
Job Profile Title
Temporary Employee - Non-Exempt
Job Description Summary
The individual will perform linguistic annotation and transcription for research projects
Job Description
The Linguistic Data Consortium supports language-related education, research and technology development by creating and sharing linguistic resources, such as data, tools and standards.
The Linguistic Annotator will work on transcribing and annotating audio recordings for use in language-based research projects at the Linguistic Data Consortium. The transcription and annotation work will be performed using specially developed web-based software tools. Training on the software will be provided, but basic computer skills are required.
Tasks include:
  • Performing verbatim transcription of speech recordings and correcting transcription output from automated speech recognition systems
  • Segmenting and labeling speech and text data with linguistic and research categories of interest
  • Completing training in working with human subjects' data in a social/behavioral research setting
  • Other duties as assigned

This is a fully remote position and individuals must have their own computer.
Minimum Qualifications: Basic computer and grammar skills required. Fluency in English language and solid knowledge of grammar is required. BA/BS degree is preferred but not required. Work is remote, and candidates will need to provide their own computer and internet connection.
Job Location - City, State
Philadelphia, Pennsylvania
Department / School
School of Arts and Sciences
Pay Range
$7.25 - $17.00 Hourly Rate
Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered.
Equal Opportunity Statement
The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law.
Special Requirements
A background check may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
University Benefits
  • Health and Life: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare.
  • Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard.

Please note that benefit eligibility is determined/based on ACA guidelines.

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About University of Pennsylvania

Sourced by ZipRecruiter

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Employers By State in 2021.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Philadelphia, PA, US

Year founded

1740