Data Annotation Project Manager

As a Data Annotation Project Manager you will play a vital role in leveraging the potential of AI technology in Allegro by enabling business, technology and research teams to secure and maintain high-quality annotated datasets and eval pipelines. You will own the end-to-end lifecycle of high-quality data acquisition, annotation and curation to power our AI and ML models. Sitting at the intersection of engineering, product and vendor operations, you will manage project budgets, design domain taxonomies and establish evaluation benchmarks alongside ML engineers and product leaders.

By leveraging GenAI tools, LLM-as-a-judge frameworks and process automation, you will streamline labeling workflows, maintain data governance policies and drive scalable dataset curation across the organization. We are looking for people with: Demonstrated ability to manage data annotation projects across multiple teams, building sustainable processes, coordinating release schedules and building consensus on difficult issues Practical knowledge of data annotation and quality assurance methods Good understanding of machine learning concepts, tasks, and metrics Understanding of statistical concepts applicable to data annotation tasks Strong verbal and written communication skills in Polish and English Demonstrated experience of managing annotation guidelines High attention to detail and demonstrated commitment to data accuracy High organizational skills, strengths in problem solving, issue-resolution,