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Data Annotation Engineer Jobs (NOW HIRING)

Comrise

CA · On-site

$26 - $29/wk

Programming: Program parts using 2D and/or 3D toolpaths with Surfcam or Mastercam on mills and lathes. * Blueprint Reading: Read and interpret prints, specification sheets, and 3D files to determine ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$65.05/hr

Application Programmer III Location: Charlotte, NC Duration: Contract - 12 months Pay Range: $65.05 ... Collaborate with data science and platform teams to deploy scalable AI solutions. Annotate and ...

Chase

Data Domain Architect Lead

Wilmington, DE · On-site

... and Engineering to develop machine learning solutions. This will involve the collection, curation, annotation, enrichment, and validation of data and the development of taxonomies and other ...

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Data Annotation Engineer information

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$51.5K

$147.5K

$197K

How much do data annotation engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data annotation engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Data Annotation Engineers in their daily work?

One of the main challenges Data Annotation Engineers face is ensuring consistent accuracy and quality in labeling large and often complex datasets. Attention to detail is critical, as even small errors can significantly affect machine learning model performance. Additionally, engineers must frequently adapt to evolving annotation guidelines and emerging data types, which requires ongoing learning and flexibility. Collaboration with data scientists and project managers is common to clarify requirements and resolve ambiguities, making strong communication skills essential for success.

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

To thrive as a Data Annotation Engineer, you need a strong background in data analysis, attention to detail, and familiarity with annotation processes, often supported by a degree in computer science or a related field. Proficiency with annotation tools like Labelbox, CVAT, or VIA, and understanding of data formats used in machine learning, is commonly required. Excellent communication, collaboration, and organizational skills help you effectively manage projects and cooperate with cross-functional teams. These abilities are crucial for delivering high-quality labeled data, which directly impacts the performance of AI and machine learning models.

Is data annotation real or fake?

Data annotation is a real and essential process in machine learning where human annotators label data such as images, text, or audio to train AI models. Data annotation engineers perform this work using specialized tools and quality standards to ensure accurate and reliable datasets.

What is a data annotation engineer?

A data annotation engineer is a professional responsible for labeling and annotating data, such as images, text, or videos, to train machine learning models. They often use specialized tools and follow guidelines to ensure data quality and accuracy, supporting AI development and data-driven applications.

How hard is it to get a job with data annotation tech?

Getting a job as a Data Annotation Engineer typically requires basic computer skills, attention to detail, and familiarity with annotation tools or platforms. Entry-level positions are often accessible with minimal formal education, but having knowledge of machine learning concepts or experience with data labeling can improve job prospects.

Does data annotation really pay you?

Data annotation engineers are typically paid for their work, often earning hourly wages or project-based fees depending on the employer or platform. Compensation varies based on experience, skill level, and the complexity of annotation tasks, which may involve using tools like labeling software or AI platforms.

What is a Data Annotation Engineer job?

A Data Annotation Engineer is responsible for labeling and annotating data—such as text, images, audio, or video—to train machine learning models. They ensure that data is accurately categorized and structured to improve model performance. This role often involves using specialized annotation tools, following detailed guidelines, and working closely with data scientists and AI teams. Data Annotation Engineers play a crucial role in the development of AI applications by providing high-quality labeled datasets for supervised learning.

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Data Annotation Engineer jobs near you
Infographic showing various Data Annotation Engineer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Python Developer _ MRM & Data Annotation (AI/ML)

Tata Consultancy Service Limited

Charlotte, NC • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

Must Have Technical/Functional Skills
Python , MRM , Data Annotator ,Agile concepts, CI/CD
10+ years experience
Roles & Responsibilities
• 10+ years of hands experience in Python , MRM , Data Annotator
• Build and maintain Python pipelines for data ingestion, preprocessing, and model feature preparation.
• Implement MRM controls such as model documentation, versioning, validation evidence, and audit trails.
• Develop tools for annotation workflow automation (task assignment, QA sampling, and label consistency checks).
• Collaborate with risk, compliance, and data science teams to align model development with governance standards.
• Create reproducible training/evaluation scripts with clear experiment tracking and model lineage.
• Define and monitor model performance, drift, and data quality metrics across lifecycle stages.
• Design labeling guidelines and enforce annotation standards to improve downstream model reliability.
• Perform root-cause analysis for model errors and annotation defects, then drive corrective actions.
• Build APIs/utilities for secure data access, transformation, and integration with internal platforms.
• Support model validation activities with technical artifacts, assumptions, and testing evidence.
• Ensure adherence to data privacy, security, and responsible AI policies in all workflows.
• Document SOPs, handover notes, and technical runbooks for operational continuity.
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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