About This Opportunity
We're working with a leading foundational AI lab to find experienced process engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for process engineers with 5+ years in engineering, manufacturing, or technical operations management to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: production capacity models, bill of materials packages, root cause failure analysis reports, equipment maintenance schedules, quality control inspection checklists, and supplier qualification packages.
Compensation: $90/hour
Commitment: Flexible, 5-20 hours per week (or more if desired)
Location: Fully remote, work on your own schedule
Start date: ASAP
Qualifications
- Hands-on experience in engineering, manufacturing, or technical operations, with direct ownership of production capacity planning, bill of materials packages, or quality control processes
- Working knowledge of root cause failure analysis, equipment maintenance planning, and the supplier qualification standards used in regulated manufacturing environments
- Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
About Ethos
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.
Key Requirements
- Hands-on experience in engineering, manufacturing, or technical operations, with direct ownership of production capacity planning, bill of materials packages, or quality control processes
- Working knowledge of root cause failure analysis, equipment maintenance planning, and the supplier qualification standards used in regulated manufacturing environments
- Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
