As a taxonomy engineer, you will be responsible for developing, maintaining, and optimizing classification systems that support our AI models and data organization efforts. In this role, you will be responsible for reviewing and categorizing incoming data, issues, or tasks and prioritizing these items based on urgency, importance, and relevance. Effective taxonomy engineers will collaborate closely with data scientists, machine learning engineers, and domain experts to align taxonomies with project requirements, and to understand the effectiveness of taxonomies in supporting AI model performance. You may build tooling to optimize and enable taxonomy contributions and organization.

In this role, you’ll help maintains upstream and product taxonomies, help triage and maintain taxonomy contributions to the InstructLab community model, develop and maintain tooling for users to build and work with their taxonomies, and help support issues regarding the processing of taxonomy data for model training. Experience contributing to a public open source community is important in this role. A data engineering background is ideal. You can learn more about the upstream InstructLab community model taxonomy at https://github.com/instructlab/taxonomy.