Expert Opportunity - Software Engineer
Ethos limited · Not specified · onsite · Posted 52d ago
Not disclosed4–6 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
About This Opportunity
We're working with a leading foundational AI lab to find experienced software engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for software 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
Qualifications
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
We're working with a leading foundational AI lab to find experienced software engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're looking for software 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
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
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 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
Sourced from foundit
Skills
data pipeline documentationmodel evaluationdata infrastructureAPI specificationsAI/ML SystemsTechnical Design Documents
About Ethos
Ethos limited
Metals & Mining
350
employees
2003
23 years old
Chandigarh
India
₹7L PA avg
Avg at Ethos
About
Ethos operates India's largest chain of luxury watch boutiques, addressing counterfeit issues while retailing premium brands across the nation.
Industries
Metals & Mining
Employee ratings
10 reviews
3.0/ 5
Culture
2.6
Career growth
2.6
Work-life
2.6
Employees rate it well for
Compensation & Benefits31Skill Development30
Find them on