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Data Annotation Tech Jobs (NOW HIRING)

JPMorganChase

Data Domain Architect Lead

Wilmington, DE · On-site

... annotation and labeling methods • Experience with various data modeling techniques and tools • Familiar with Finance and Banking products • Broad expertise in data technologies; i.e., data ...

J.P. Morgan

Data Domain Architect Lead

Columbus, OH

Familiar with industry annotation and labeling methods * Experience with various data modeling techniques and tools * Familiar with Finance and Banking products * Broad expertise in data technologies ...

Amazon

Catalog Specialist, RCX

Bellevue, WA · On-site

Key job responsibilities • Work closely with our product, technology, and science teams to support Machine Learning (ML) models • Perform data annotation required to train and evaluate ML models ...

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How much do data annotation tech jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for data annotation tech in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

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

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

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Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 17% Part Time, 19% Contract, 42% Nights, and 1% Summer. Highlights an 34% Physical, and 66% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Data Annotator / Data Labeling Specialist

Data Annotator / Data Labeling Specialist

Tata Consultancy Services

Charlotte, NC • On-site

$17.25 - $22.50/hr

Full-time

Posted 2 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

Job Summary:
Tata Consultancy Services is seeking a Data Annotator / Data Labeling Specialist to support their technology function. The role involves accurately labeling various types of data, performing quality checks, and collaborating with engineers to improve labeling frameworks.
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:
• Image annotation
• NLP data labeling
• Data categorization techniques
• Basic computer skills (Excel, Google Sheets)
• Ability to follow structured guidelines precisely.
Qualifications:
Required:
• BACHELOR OF COMPUTER SCIENCE
• 10+ years’ experience
• Agile concepts
• CI/CD
• 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.
• Ability to follow structured guidelines precisely
• 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.
Preferred:
• Familiarity with image annotation
• Familiarity with NLP data labeling
• Familiarity with data categorization techniques
• Basic understanding of data annotation tools (Labelbox, CVAT, VGG, etc.)
• Basic computer skills (Excel, Google Sheets)
Company:
Tata Consultancy Services is a business solutions company that specializes on information technology services and consulting. It is a sub-organization of Tata Group. Founded in 1968, the company is headquartered in Mumbai, IND, with a team of 10001+ employees. The company is currently Late Stage.

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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

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