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Ethos is a remote-first expert network connecting professionals with investors and consultancies for paid expert calls and advisory opportunities. The role focuses on building and refining AI-generated documents across technical design, data pipeline documentation, and API guides for language-model systems.
You will craft high-quality documents, evaluate model outputs, and collaborate with cross-functional teams to ensure clarity and readiness of technical materials.
We’re working with a leading foundational AI lab to find experienced data engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We’re looking for data engineers 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.