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Data Labeling Specialist

Contract · In Office · USA

Posted Aug 30, 2026

Work Options
Job Type
Position Group
  • Role: Data Labeling Specialist
  • Location: On-site
  • Job Type: Contract
  • Payout: Competitive, based on experience

Role Overview:

We are hiring for one of our clients, seeking a Data Labeling Specialist: Remote Contract to work on a contract basis. The role involves annotating and processing data to improve machine learning models for a leading technology company. Responsibilities include ensuring high-quality labeled datasets for AI training and maintaining accuracy across large-scale projects.

Key Responsibilities:

  • • Annotate and label text, images, audio, or video data to meet project specifications for AI model training.
  • • Review and validate labeled data for consistency, accuracy, and adherence to guidelines.
  • • Collaborate with data teams to identify and resolve labeling discrepancies or errors.
  • • Follow established annotation protocols and update guidelines as needed based on feedback.
  • • Meet daily and weekly labeling targets while maintaining high precision and recall rates.

Required Skills & Qualifications:

  • • Experience in data annotation, labeling, or data processing for AI and machine learning applications.
  • • Proficiency in using annotation tools and platforms such as Labelbox, CVAT, or similar software.
  • • Strong attention to detail and ability to maintain consistency across large datasets.
  • • Familiarity with natural language processing (NLP) or computer vision tasks is a plus.
  • • Ability to work independently and adhere to strict quality control standards.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. The position supports scalable data infrastructure critical to advancing automation and decision-making systems.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!

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Data Labeling Specialist

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