Responsibilities
- Label data accurately to build training sets for machine learning workflows
- Generate diverse datasets using image editing tools, generative AI, and computer vision methods for various use cases
- Apply and test machine learning algorithms and traditional image processing in real product applications
- Run experiments and analyze outcomes to refine and improve current models and procedures
- Assist the Data Science team with day-to-day tasks in creating data-driven solutions
Compensation
Paid position with flexible compensation based on experience and qualifications
Work Arrangement
Part-time, student employment with flexible hours around study schedule
Team
Integrated role within a dynamic Data Science team focused on innovation
Responsibilities
- You prepare training datasets through precise labeling for machine learning training runs
- Using image editing software, GenAI, and computer vision technologies, you create datasets for different application scenarios
- Machine learning methods and classical image processing techniques are applied and tested in product-oriented use cases
- You conduct experiments and evaluate results to optimize existing models and processes
- In the development of data-driven solutions, you support the Data Science team in daily operations
No visa sponsorship available for this position
