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Software Engineering ethos

Mechanical Engineer & Python Expert – Freelance AI Trainer

Ethos • Remote

Education

Not stated

Type

Hourly

Pay Rate

$75/hr

Listed

141d ago

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About this role

From the Ethos listing

Ethos pays $75/hour for this Mechanical Engineer & Python role, a narrower cross-disciplinary bar than most STEM openings: a mechanical engineering background plus real Python fluency for simulations, data analysis, or automation. The evaluation work applies both skill sets to reviewing AI-generated engineering and technical content for correctness. It's remote and flexible, and one of the more specific technical combinations Ethos sources through referral.

Requirements

  • Must be eligible to work in Remote
  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Software Engineering

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

Interview Prep

This listing calls for this tool directly. Prep for the technical screen:

Why this role

Few outlets pay Software Engineering specialists what the leading AI labs pay for direct judgment. At $75/hr, this Mechanical Engineer & Python Expert – Freelance AI Trainer role prices in the expertise itself, separate from hours billed or clients managed.

Skills and categories

Explore other opportunities in related specializations:

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Common questions

How and when does Ethos pay experts?

Within 30 days of invoice submission after a project closes. That net-30 schedule is standard for enterprise expert networks, but it's slower than the weekly payouts some AI training platforms offer, so plan your cash flow around it.

Is Ethos regular AI training work like rating chatbot responses?

No. Ethos is an expert network, not a task queue. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge (deal analysis, clinical reasoning, legal logic, financial modeling) through three formats: multi-week consulting engagements, 30-60 minute advisory calls, and targeted research surveys.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does asynchronous AI training work mean in practice?

No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.

What does Software Engineering work look like for a Mechanical Engineer & Python Expert – Freelance AI Trainer?

Tasks here are scoped to Software Engineering, not generic labeling. As a Mechanical Engineer & Python Expert – Freelance AI Trainer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.

What specific skills does this listing call for?

Coding and Python are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $75/hr, an hourly rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to Ethos's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Who built Ethos and is it legitimate?

Yes, it's legitimate and well-funded: Ethos raised $3.5M from General Catalyst and was co-founded by Daniel Mankowitz (Google DeepMind research scientist and lead author of AlphaDev) and James Lo (McKinsey, SoftBank Vision Fund). Over 17,000 experts have signed up, and it's actively working with 25+ PE firms, hedge funds, and consultancies. The referral link on this page is an affiliate link; it doesn't affect your pay or opportunities.