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Machine Learning Engineer

Ethos Contract, part-time Posted Yesterday New US, UK, EU, CA, AU, NZ

Role details

About This Opportunity
We're working with a leading foundational AI lab to find experienced machine learning engineers who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.

We're looking for machine learning 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

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 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

From the Ethos posting.

Applying on Ethos

What happens after you click

  1. The link opens this role on Ethos. Sign up and apply from there.
  2. Create your Ethos profile.
  3. If Ethos invites you, complete a short AI voice screen. The call is recorded and transcribed.
  4. Ethos matches your profile to opportunities, including roles like this one.
  5. Remote — open to United States, Canada, United Kingdom, Ireland, Australia, New Zealand, Germany, France, Netherlands, Belgium, Austria, Switzerland, Denmark, Sweden, Norway, Finland, Iceland, Italy, Spain, Portugal, Greece, Luxembourg, Malta, Cyprus, Liechtenstein and Monaco.
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Pays $80 an hour, below the $120 median top rate of the 23 other open hourly machine learning engineers roles listed here. Posted yesterday.

We read this listing on Ethos on 19 Oct 2026 and checked it again on 20 Oct 2026. We clean its formatting for readability and safety. View on Ethos

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