Join our AI team and help build the data foundation behind our models. You’ll work on preparing and improving datasets, designing better data workflows, and exploring new scenarios that help us evaluateand strengthen our AI systems.
Responsibilities
- Prepare, organize, validate, and maintain AI datasets for training and evaluation.
- Improve data quality, traceability, and scalability through better workflows and automation.
- Identify bottlenecks in data pipelines and design practical, scalable data workflows.
- Research potential weaknesses in AI modules, reproduce real-world issues, and prepare relevantdata for evaluation.
Qualifications
Minimum
- Degree in Computer Science, AI, Data Science, Engineering, or related fields.
- Good understanding of AI datasets, model training, and evaluation workflows.
- Proficient in Python for data processing and automation.
- Strong attention to detail and systematic problem-solving skills.
- Able to design structured and scalable data workflows.
Preferred Qualification
- Experience with data pipelines, ETL, databases, or workflow automation.
- Familiarity with computer vision or machine learning workflows.
- Interest or experience in AI robustness, adversarial testing, or data-centric AI.