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Ethos is seeking experienced DevOps engineers to help train a leading AI language model on professional documents, spreadsheets, and slide decks. The role focuses on running or reviewing production incidents, crafting blameless postmortems, and producing high-quality documentation across core workflows.
The engagement offers flexible part-time hours (5-20+ per week), fully remote work, and compensation at $80/hour.
We're working with a leading foundational AI lab to find experienced DevOps 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 DevOps engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for DevOps engineers with 4+ years running or reviewing production incidents to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: blameless postmortems and root-cause analyses, on-call runbooks, severity and escalation write-ups, SLO and error-budget reports, remediation action-item trackers, and reliability review decks.
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.