Data Annotator / Data Labeling Specialist

Veriipro; Charlotte (NC); On-site; USD 70,000 - 90,000; Full time

Job summary

Veriipro in Charlotte, North Carolina is looking for an experienced Data Annotation Specialist. The individual will be responsible for annotating various forms of data, ensuring consistency in labeling standards, and collaborating closely with machine learning engineers.

They should have extensive experience in data annotation, strong analytical skills, and the ability to manage confidential data while meeting productivity and accuracy standards.

Qualifications

• 10+ years of experience in Data Annotation / Data Labeling.
• Proficiency in using annotation tools.
• Strong attention to detail and ability to follow guidelines.

Responsibilities

• Annotate text, image, audio, and structured data as per guidelines.
• Ensure consistency in taxonomy and data quality.
• Collaborate with ML engineers and domain experts.

Skills

Data Annotation / Data Labeling

Agile concepts

CI/CD processes

Annotation tools

Excel

Google Sheets

Attention to detail

Tools

Labelbox

CVAT

VGG

Job description

Required Skills

• 10+ years of experience in Data Annotation / Data Labeling.
• Knowledge of Agile concepts and CI/CD processes.
• Experience with annotation tools such as Labelbox, CVAT, VGG, etc.
• Familiarity with image annotation, NLP labeling, and data categorization.
• Proficiency in Excel and Google Sheets.
• Strong attention to detail and ability to follow annotation guidelines accurately.

Roles & Responsibilities

• Annotate text, image, audio, and structured data as per project guidelines.
• Ensure consistency in taxonomy, labeling standards, and data quality.
• Perform QA checks, identify edge cases, and support guideline improvements.
• Meet productivity and accuracy SLAs.
• Participate in calibration sessions and incorporate QA feedback.
• Document annotation decisions and maintain quality standards.
• Handle confidential data in compliance with security policies.
• Track progress and quality metrics through dashboards.
• Collaborate with ML engineers and domain experts on labeling frameworks.
• Support dataset curation, filtering, deduplication, and metadata tagging.

Generic Managerial Skills

• Strong communication, collaboration, and team management skills.
• Proactive, result-oriented, and quick to learn new technologies and processes.