PCMCI Quantum is seeking a Data Annotation Intern to join their AI and computer vision team onsite in Karachi. This internship offers an excellent opportunity for entry-level candidates or those early in their careers who have a keen interest in artificial intelligence and want practical experience working with real-world computer vision systems. The role involves supporting the preparation of high-quality datasets by labeling, organizing, collecting, and validating data essential for model training and evaluation. The intern will collaborate closely with the Computer Vision Engineer and engage in various tasks including sourcing data online, capturing original footage, and assisting with synthetic data generation using green screens and simulation software. The position requires working onsite from 2:00 PM to 10:00 PM, Monday to Friday, at the DHA Phase 6 office in Karachi.

Key Responsibilities

- Data Annotation: Accurately label images, videos, and other datasets following project-specific guidelines.
- Dataset Creation: Assist in building and expanding datasets tailored to AI and computer vision project needs.
- Online Data Sourcing: Research and identify relevant online sources for images and videos, ensuring compliance with licensing and usage rights.
- In-House Data Collection: Capture original images and videos using company-provided cameras, props, and setups to create custom datasets.
- Synthetic Data Generation: Support the generation of training data through green screens, controlled environments, simulation software, and other techniques.
- Data Quality Assurance: Review annotated data for accuracy, consistency, and completeness, ensuring alignment with project standards.
- Dataset Organization: Maintain well-structured datasets, including annotation files, folder hierarchies, and metadata management.
- Issue Reporting: Identify and report ambiguous cases, missing data, labeling errors, and inconsistencies to the Computer Vision Engineer.
- Project Coordination: Follow technical instructions, annotation guidelines, and data collection requirements provided by the project team.
- Productivity and Deadlines: Deliver high-quality work while meeting assigned targets and deadlines.
- Continuous Improvement: Learn new annotation tools, data collection methods, and dataset preparation techniques as project needs evolve.

Required Qualifications

- Entry-level or early-career candidate; no prior professional experience required.
- Basic knowledge of or strong interest in artificial intelligence, machine learning, or computer vision.
- Good attention to detail with the ability to follow instructions and technical guidelines carefully.
- Basic computer skills and familiarity with online tools.
- Ability to perform repetitive tasks consistently while maintaining data quality.
- Willingness to learn image and video annotation tools, dataset management practices, and data collection workflows.
- Must be based in Karachi and available to work onsite from 2:00 PM to 10:00 PM, Monday to Friday.
- Must have a personal laptop.
- Responsible, self-motivated, and capable of working independently as well as part of an onsite team.

Preferred Qualifications and Benefits

- Gain hands-on exposure to real-world AI and computer vision workflows.
- Practical experience in image and video annotation, dataset creation, and quality assurance processes.
- Experience sourcing data online and collecting original footage using cameras and props.
- Exposure to synthetic data generation techniques, including green-screen workflows and simulation-based data creation.
- Develop an understanding of how high-quality datasets contribute to training and evaluating computer vision models.
- Receive direct guidance and mentorship from an experienced Computer Vision Engineer.
- Opportunity to develop practical technical skills through real project assignments.
- Onsite internship experience in Karachi, working alongside a professional team with opportunities for learning and growth.
- Monthly stipend ranging from Rs18,000 to Rs20,000.

This internship provides a valuable stepping stone for candidates looking to build a career in AI and computer vision by gaining practical skills and industry exposure in a collaborative onsite environment.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Career Level:
Mid-Level
Maximum Experience:
5 Years
Apply Before:
Oct 22, 2026
Posting Date:
Oct 16, 2026

Tjara.ca

· 11-50 employees - Karachi

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