Internship Intern Machine Learning (Labelling & QC) – TROOPERS
Role Summary
The Internship Intern Machine Learning (Labelling & QC) is responsible for conducting research to identify training data formats and annotation standards for robotics companies. This role involves managing video labeling workflows and ensuring quality control, contributing to the scalability of the labeling process.
Job Description
In this internship, you will engage in day-to-day tasks that involve managing video labeling workflows and ensuring the quality of labeled footage. You will work in a collaborative environment, presenting your findings at milestone reviews to enhance the labeling process.
Key Responsibilities:
- Conduct research to identify training data formats and annotation standards.
- Manage a video labeling workflow efficiently.
- Label footage clips with relevant tags accurately.
- Ensure quality control through a detailed checklist.
- Handle rejected footage and document the labeling process.
- Present findings at milestone reviews.
- Collaborate with team members to improve labeling standards.
Job Requirements
Currently studying or self-taught in data science, AI/ML, or computer vision.
Experience with at least one data labeling or ML tool.
Strong attention to detail and ability to spot errors.
Capable of conducting independent research and synthesizing information.
Proficient in using AI tools in daily tasks.
Quick Info
Company
TROOPERS
Location
Selangor
Salary
—
Skills Required
7 skills
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Required Skills
Data Labeling
Machine Learning Tools
Quality Control
Research Skills
Attention To Detail
Collaboration
Documentation
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