Qureos

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Data Annotation Intern (CS-SE)

Islamabad, Pakistan

Position: Annotations Intern
Location: On-site Bahria Phase 4 Rawalpindi
Employment Type: Internship (2–3 Months)
Qualification: Bachelor’s degree in Computer Science / Software Engineering

About the Role

We are looking for a motivated Annotations Intern with a background in Computer Science or Software Engineering to support our AI/ML projects. This role involves working closely with the data science team to annotate, label, and structure datasets that are essential for training machine learning models. It’s a great opportunity to apply your technical knowledge in a fast-growing field and gain hands-on experience in AI, data annotation, and model training workflows.

Key Responsibilities

  • Perform accurate data labeling and annotation for images, text, audio, or video datasets.
  • Work with the AI/ML team to ensure data quality and consistency.
  • Review and validate datasets for accuracy, completeness, and compliance with guidelines.
  • Use annotation tools and software to tag and structure data effectively.
  • Provide feedback to improve annotation processes and guidelines.
  • Collaborate with engineers to understand how annotations support AI model development.

Requirements

  • Bachelor’s degree in Computer Science / Software Engineering (fresh graduates encouraged to apply).
  • Strong attention to detail and problem-solving skills.
  • Basic understanding of AI/ML concepts (preferred but not mandatory).
  • Familiarity with annotation tools, databases, or scripting (a plus).
  • Ability to work independently and in a team.
  • Strong communication and adaptability skills.

What We Offer

  • Hands-on experience in AI/ML projects.
  • Mentorship from experienced engineers and data scientists.
  • Opportunity to learn industry annotation tools and workflows.
  • Internship certificate & potential for full-time role upon performance.

Job Type: Internship
Contract length: 3 months

Pay: Rs20,000.00 - Rs25,000.00 per month

Work Location: In person

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