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Ethos is seeking experienced machine learning engineers to help train language models for professional documents, spreadsheets, and slide decks. The role focuses on creating, evaluating, and refining AI-generated documents across workflows like technical design, data pipelines, and API guides.
The position offers flexible, part-time hours (5–20 per week) and fully remote work, with an ASAP start date. Requires proven ability to craft high-quality technical documents and strong written
We're working with a leading foundational AI lab to find experienced machine learning 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 machine learning engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for machine learning 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.