Summary
✨ AI‑Generated
Experienced software, AI, and data professionals are sought for a flexible, fully remote opportunity supporting the training and evaluation of advanced AI systems. You will apply professional engineering expertise to technical designs, architecture documentation, data pipelines and ETL, model evaluation reports, API specifications, data-quality test plans, onboarding materials, and system architecture diagrams. Compensation is $80/hour with a flexible 5–20 hour weekly commitment or more.
Highlights
Flexible fully remote opportunity paying $80/hour, with a 5–20 hour weekly commitment or more. The role lets experienced software, AI, and data professionals apply their expertise to advanced AI evaluation and high-value technical documentation workflows.
Description
About This Opportunity
We're working with a leading foundational AI lab to find experienced software, AI, and data professionals who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for software engineering, AI, and data professionals 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
Qualifications
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications Direct experience evaluating model outputs or system readiness and documenting technical tradeoffs for engineering or cross-functional stakeholders 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
4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specificationsDirect experience evaluating model outputs or system readiness and documenting technical tradeoffs for engineering or cross-functional stakeholdersExpert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail
