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Ethos is seeking directors of data engineering to help train AI models on professional documents, spreadsheets, and slide decks. Flexible, remote work with 5–20 hours per week and a compensation rate of $80/hour.
Ideal candidates have 4+ years building software, data infrastructure, or AI/ML systems and can create, evaluate, and refine AI-generated documents and guides for technical teams and 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.