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Flutter Developer

FetchJobs.co

hybridmiddata United States 67 days ago via LinkedIn

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Tags

Data AnnotationLabelingQuality AssuranceMachine LearningAI ConceptsData EntryData Labeling ToolsDataset ConsistencyCommunicationDocumentation

About the role

Role Overview

DataAnnotation is hiring a Data Annotation Specialist to accurately annotate and label datasets that support machine learning model development. The work directly contributes to the quality and success of clients’ AI projects.

Responsibilities

  • Review raw data (e.g., images, videos, text, audio) and perform accurate labeling/annotation according to project guidelines.
  • Collaborate with project managers and data scientists to understand annotation specifications and ensure consistency across datasets.
  • Maintain high accuracy and quality, regularly reviewing work and making necessary corrections.
  • Document work processes and communicate issues/discrepancies to the team.
  • Optionally help update annotation guidelines and participate in quality assurance activities.
  • Meet project deadlines while maintaining attention to detail.

Qualifications

  • Minimum: high school diploma (bachelor’s degree in CS/IT or related field preferred).
  • Prior experience in data annotation or data entry is advantageous but not required.
  • Strong attention to detail and organizational skills.
  • Excellent communication skills and ability to follow detailed instructions.
  • Familiarity with data annotation tools/platforms is a plus.
  • Demonstrated work ethic, reliability, and willingness to learn.
  • Basic knowledge of AI/ML concepts is beneficial but not required.

Benefits (as stated)

  • Competitive compensation and comprehensive benefits (health insurance, paid time off, performance-based incentives).
  • Flexible working hours and opportunities for remote work.
  • Ongoing training and professional development.
  • Inclusive, collaborative work environment.

About FetchJobs.co

The posting describes DataAnnotation as an organization focused on improving data accuracy and integrity through data annotation and labeling services. It helps businesses build high-quality datasets used for machine learning and artificial intelligence applications, emphasizing precision and continuous professional growth in a collaborative environment.

Scraped 7/18/2026