Student Worker, Element Qualification Engineer

Job summary

This role involves supporting the development of AI solutions focused on visual inspection and defect detection. The position is part of the Qualification Factory, where new moulds and elements are qualified before mass production.

Qualifications

• Currently enrolled in a university program pursuing a degree in Computer Science, Engineering, Data Science, or a related field.
• Basic understanding of machine learning and AI concepts.
• Familiarity with data annotation tools and techniques.
• Proficiency in programming languages such as Python or Java.
• Ability to analyze and interpret data effectively.
• Preferred completion of basic coursework in machine learning or artificial intelligence.
• Strong written and verbal communication skills in English.

Responsibilities

• Assist in acquiring and annotating visual inspection data for AI model training.
• Support the development and optimization of AI defect detection models.
• Collaborate with technical teams to implement AI solutions.
• Participate in testing and validating AI models for visual approval processes.
• Document processes and findings to improve project workflows.

Skills

• Basic understanding of machine learning and AI.
• Proficiency in Python or Java.
• Data analysis and interpretation skills.

Education

• Enrollment in a relevant university program.

Tools

• Data annotation tools and techniques.