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Ethos is seeking a Director of Data Engineering to guide the creation, evaluation, and refinement of AI-driven documentation across technical design, data pipelines, model evaluation, and API guides.
This fully remote role offers flexible scheduling (5–20 hours per week) and a compensation rate of $80 per hour, with cancellation allowed. The ideal candidate will excel in crafting precise documents and communicating complex trade-offs to stakeholders.
We're working with a leading foundational AI lab to find experienced directors of data engineering who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for directors of data engineering with 4+ years building software, AI/ML systems, or data infrastructure in a professional engineering or data role to 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.
Compensation: $80/hour
Commitment: Flexible, 5-20 hours per week (or more if desired)
Location: Fully remote, work on your own schedule
Start date: ASAP
Ethos is a new expert network built by a McKinsey/SoftBank/DeepMind team and backed by world-leading investors like General Catalyst. We connect experts with investors and consultancies for paid expert calls, speaking engagements, and advisory opportunities.