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Data Labeling Jobs (NOW HIRING)

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Data Labeling information

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$10

$24

$57

How much do data labeling jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data labeling in the United States is $24.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $28.12 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Labeling position, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

What is a Data Labeling job?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a Data Labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What is the job description of data labeling?

Data labeling involves annotating or tagging data such as images, text, or videos to help machine learning models understand and learn from the data. The role requires attention to detail, familiarity with labeling tools, and adherence to guidelines to ensure high-quality annotations. It is often performed remotely and may involve repetitive tasks with flexible schedules.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are freelance or remote, with pay rates varying across platforms and employers.

How do I become a data labeler?

To become a data labeler, you typically need basic computer skills, attention to detail, and the ability to follow instructions. Many positions require no formal degree and offer flexible, part-time schedules; familiarity with data annotation tools or platforms is often helpful. Applying through online job boards or company websites is common for entry-level roles.

Is data labelling a good career?

Data labeling is a common entry-level role in data annotation and machine learning workflows, often requiring attention to detail and basic computer skills. It can provide opportunities to develop skills in data management and AI, but typically offers lower pay and limited advancement without additional training or experience.
More about Data Labeling jobs
What cities are hiring for Data Labeling jobs? Cities with the most Data Labeling job openings:
What are the most commonly searched types of Data Labeling jobs? The most popular types of Data Labeling jobs are:
What states have the most Data Labeling jobs? States with the most job openings for Data Labeling jobs include:
Infographic showing various Data Labeling 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, with an average salary of $50,981 per year, or $24.5 per hour.
Data Annotator / Data Labeling Specialist

Data Annotator / Data Labeling Specialist

Tata Consultancy Services

Charlotte, NC • On-site

$110K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

159th of 210 rated it services


Job description

Must Have Technical/Functional Skills
Data Annotator / Data Labeling Specialist, Agile concepts, CI/CD
10+ years experience
Roles & Responsibilities
• Accurately label text, image, audio, or structured data based on project-specific guidelines.
• Follow annotation taxonomy and definitions consistently across tasks and datasets.
• Perform quality checks, resolve ambiguities, and flag edge cases for guideline refinement.
• Meet productivity and accuracy SLAs while maintaining high attention to detail.
• Use annotation tools/platforms effectively and report tool or data issues promptly.
• Participate in calibration sessions to align with reviewers and improve inter-annotator agreement.
• Document annotation decisions and examples to support standardization and training.
• Rework rejected samples based on QA feedback and maintain continuous quality improvement.
• Handle sensitive/confidential data according to privacy and security policies.
• Track task progress, throughput, and quality metrics in assigned dashboards.
• Collaborate with ML engineers and linguists/domain experts to improve labeling frameworks.
• Support dataset curation activities such as deduplication, filtering, and metadata tagging.
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Familiarity with:
o Image annotation
o NLP data labeling
o Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely
Generic Managerial Skills, If any
• Proactive and result-oriented leader, adept in mentoring and motivating the dynamic team to exemplary performance.
• Strong communication, collaboration, and team building skills with proficiency in grasping new technical concepts quickly.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $110,000-$125,000 a year


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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US