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Ethos is seeking AI engineers to help train a language model on professional documents, spreadsheets, and slide decks. You will craft technical design docs, data pipeline docs, and evaluation reports for internal and client-facing use, ensuring high-quality, precise documentation.
The role is fully remote with flexible commitments of 5–20 hours per week, starting ASAP. Candidates should have 4+ years in software, AI/ML, or data roles and a strong ability to communicate complex ideas in writing.
We're working with a leading foundational AI lab to find experienced AI engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're working with a leading foundational AI lab to find experienced AI engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for AI 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.