Data Quality Controller Intern

About the Role We are looking for a motivated and detail-oriented Data Quality Controller Intern to join our team at our office in Renens.

As part of WasteFlow's data operations, you will be responsible for ensuring the quality, consistency, and reliability of the datasets used to train and evaluate our AI systems.

Your role will focus primarily on reviewing and validating annotated data, identifying errors and ambiguous cases, monitoring quality indicators, and helping continuously improve our data quality processes.

This is a hands-on position offering direct exposure to real-world artificial intelligence and computer vision applications.

Key Responsibilities

• Review and validate annotated datasets to ensure accuracy, consistency, and completeness
• Identify annotation errors, inconsistencies, and ambiguous cases
• Correct annotations and data-quality issues when required
• Perform structured quality-control checks according to defined procedures and acceptance criteria
• Monitor and track data-quality KPIs
• Document recurring errors and identify potential sources of quality issues
• Help improve annotation guidelines and quality-control processes
• Review ambiguous cases and escalate technically complex cases to the relevant data or machine learning team
• Maintain clear documentation of quality-control activities and results
• Collaborate with data annotation, machine learning, and technical teams
• Perform data annotation when required for quality control, validation, or dataset improvement

Requirements

• Strong attention to detail and ability to identify inconsistencies
• Fluent in French and English, both written and spoken
• Good computer skills and confidence using digital tools
• Ability to follow structured processes and quality-control procedures
• Strong organizational and time-management skills
• Ability to work independently while knowing when to escalate uncertain cases
• Comfortable working with large datasets and performing repetitive quality-control tasks with precision
• Available to start as soon as possible
• Able to work full-time and on-site in Renens

Nice to Have

• Interest in artificial intelligence, machine learning, computer vision, or data science
• Previous experience with data annotation, data quality, quality control, or data management
• Familiarity with image annotation or computer-vision datasets
• Experience with annotation platforms such as CVAT
• Basic understanding of data-quality metrics and reporting