LIME

• Identify, extract and process data from relevant data sources for model development. • Researching and selecting suitable image data sources. • Managing the end-to-end image data collection and preparation process including filtering, extraction, cleaning, structuring, and quality checks. • Analyzing image datasets using ML models to validate data quality and labeling plausibility. • Designing prompt/query logic for LLM-driven automation of meta-labeling processes. • Research methods to collect video data for ML training. • Creating audit-ready documentation to support compliance and internal audits. • Validating and quality-checking annotations. • Ensuring consistency, completeness, and adherence to internal annotation guidelines, and providing structured feedback. • Documenting quality findings to support continuous improvement of data quality. • Collaborate closely with our software and product teams. • Continuously develop yourself and think outside the box.

• Design and implement machine learning pipelines with a focus on computer vision and deep learning • Identify, extract and process data from relevant data sources for model development • Create tests and evaluations to assess the application performance of machine learning models • Collaborate closely with our software and product teams • Continuously develop yourself and think outside the box