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Data Annotation Intern

Data Annotation Intern

Location: Remote / Online

Type: Internship

Reporting To: Computer Vision Engineer

Compensation: Performance-based stipend

PCMCI Quantum is looking for a Data Annotation Intern to support our AI and computer vision projects by labeling and organizing data accurately. This role is ideal for a high school student or undergraduate student who is interested in artificial intelligence and wants to gain practical experience in a real-world project environment.

The intern will work closely with the CV Engineer and contribute to preparing high-quality datasets for model training and evaluation.

Responsibilities

  • Annotate images, videos, and other datasets according to project guidelines
  • Review labeled data for accuracy and consistency
  • Organize and manage annotation files properly
  • Follow instructions provided by the CV Engineer and project team
  • Report issues, ambiguities, or data inconsistencies during the annotation process
  • Maintain quality and meet assigned targets within deadlines

Requirements

  • High school student or undergraduate student
  • Basic knowledge of, or interest in, Artificial Intelligence / Computer Vision
  • Good attention to detail and ability to follow guidelines carefully
  • Basic computer skills and familiarity with online tools
  • Must have a personal laptop or desktop
  • Reliable internet connection for online work
  • Willingness to learn and improve over time

Preferred Qualities

  • Interest in AI, machine learning, or data-related work
  • Ability to stay consistent while working on repetitive tasks
  • Good communication and reporting skills
  • Self-motivated and responsible in a remote work environment
  • What You Will Gain
  • Hands-on exposure to AI and computer vision workflows
  • Practical experience in data annotation and dataset preparation
  • Opportunity to work under the guidance of a CV Engineer
  • A flexible online internship experience

Stipend

This is a performance-dependent stipend-based internship. Compensation will be based on the quality, consistency, and volume of completed work.

Work Mode

Online / Remote

Flexible working arrangement, based on assigned tasks and deliverables

Job Type: Internship
Contract length: 2 months

Work Location: Remote

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