Summary
What you’ll impact
The role involves working with a leading AI lab to train a language model on professional document, spreadsheet, and slide deck tasks. The machine learning engineer will create, evaluate, and refine AI-generated documentation across various core workflows. This is a fully remote, flexible part-time position.
Responsibilities
What you'll do
- Help train their latest language model on professional document, spreadsheet, and slide deck tasks.
- Create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: technical design documents and architecture decision records, data pipeline and ETL documentation, model evaluation and AI system readiness reports, API specification and integration guides, data quality and validation test plans, and developer onboarding guides and system architecture diagrams.
Requirements
What you’ll bring
- 4+ years building software, AI/ML systems, or data infrastructure in a professional engineering or data role
- 4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
- Direct experience evaluating model outputs or system readiness and documenting technical tradeoffs for engineering or cross-functional stakeholders
- Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
- Location: United States