Data Engineer Expert

Ethos; United States; Remoto; USD 94.000 - 127.000; Tempo pieno

Descrizione del lavoro

Ethos is partnering with a leading AI lab to hire experienced data engineers who can help train their language model on professional documents, spreadsheets, and slide decks. The role is fully remote, with flexible 5-20 hours per week and ASAP start.

You will create, evaluate, and refine AI-generated documents, data pipelines, API specs, and validation reports, collaborating with engineering and product teams.

Competenze

• 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 tradeoffs for engineering or cross-functional stakeholders.
• Expert-level document, spreadsheet, and slide craftsmanship, with excellent written communication and attention to detail.

Mansioni

• Create, evaluate, and refine AI-generated documents across core workflows.
• Document technical tradeoffs for engineering or cross-functional stakeholders.
• Develop and maintain API specifications and integration guides.

Conoscenze

4+ years engineering experience

Experience evaluating model outputs

Document craftsmanship

Descrizione del lavoro

Pay

$80/hr

Compensation

Flexible, 5-20 hours per week (or more if desired)

Fully remote, work on your own schedule

Start date: ASAP

About this role

We’re working with a leading foundational AI lab to find experienced data engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.

We’re looking for data 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, developer onboarding guides and system architecture diagrams.

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