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Ethos is seeking experienced AI engineers to help train and refine language-model outputs for professional documents, spreadsheets, and slide decks on a flexible, remote basis. The role focuses on creating and evaluating AI-generated content across technical design docs, data pipelines, and API guides.
Ideal candidates have 4+ years in software/data/AI roles, with strong writing skills and the ability to document tradeoffs for engineering and cross‑functional stakeholders. Start ASAP, approx.
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.