Ethos's AI interviewer asks about your career, then matches you to projects like Software Developer. 4+ years as a software engineer, data engineer

4+ years as a software engineer, data engineer

Direct experience evaluating model outputs or system readiness and documenting technical tradeoffs

Direct experience evaluating model outputs or system readiness and documenting technical tradeoffs

We're working with a leading foundational AI lab to find experienced software developers who can help train their latest language model on skilled document, spreadsheet, and slide deck tasks.

We're looking for software developers 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.

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

Fully remote, work on your own schedule

ASAP

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

Ethos's AI interviewer asks about your Educational Software Developer background. These are our own practice questions for that work, not Ethos's.





How do you design a learning interface that works for both a first-time user and a returning student who wants speed?

Adjusting on a single data point causes the system to feel erratic to the learner.

How do you keep educational content aligned with a curriculum standard while still allowing content authors flexibility?

I tag content against the standard at the objective level rather than the lesson level, so authors can restructure lessons freely as long as each objective is still covered somewhere. A rigid one-to-one mapping between lessons and standards breaks the moment a curriculum team wants to reorganize material.

What's your approach to testing whether an adaptive algorithm is actually improving learning outcomes, not just engagement metrics?

Engagement and learning can diverge, so I run controlled comparisons against outcome measures like retention on delayed assessments, not just time on task or completion rate. A feature that increases engagement but doesn't move outcomes needs a different justification before it ships.

See all 10 Educational Software Developer interview questions →

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Within 30 days of your invoice, after a project closes. Some AI training platforms pay weekly, so plan for the longer wait.

Is Ethos regular AI training work like rating chatbot responses?

Ethos is an expert network. AI labs, investment funds and large companies pay for your domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) in three formats: multi-week consulting engagements, 30 to 60 minute advisory calls, and research surveys. Listings like this one are the AI-lab engagements, where you write or review expert material for a model.

How many hours a week is this Software Developer work?

What experience does this Software Developer listing ask for?

The listing asks for 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; Coding is named directly in the listing. If you don't have hands-on experience with this, expect the screening to test for it.

This listing is posted at $80/hr, an hourly rate. Ethos's AI interviewer asks about your career in a 5 to 15 minute call, builds your profile from it, and then matches you to projects like this one. It raised a $22.75M Series A led by a16z in May 2026, with General Catalyst and XTX Markets participating, and works with AI labs, private equity firms, hedge funds and consultancies. it doesn't affect your pay or the projects you're offered.

📌 Expert Software Engineer - Remote (Canada)
🏢 Ethos
📍 Canada