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Software Engineering

Mechanical Engineer & Python Expert – Freelance AI Trainer

Ethos Remote Posted 0 days ago

Education

Any

Type

Pay Rate

$75/task

Posted

0d ago

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About this Role

About the job

We're looking for experienced mechanical engineers with Python programming skills to help train and improve AI models through freelance evaluation and content creation tasks.

As a Freelance AI Trainer, you'll bring your domain expertise to bear on evaluating AI-generated technical content, writing prompts and model responses related to mechanical engineering workflows, and providing structured feedback that improves model quality in technical domains.

You'll work on tasks such as evaluating engineering calculations and simulations, assessing AI-generated Python code for mechanical applications, writing technical prompts, rating model outputs for accuracy and depth, and reviewing CAD or FEA documentation.

Compensation: $75/hour

Commitment: Flexible — work as much or as little as you like

Location: Fully remote — work on your own schedule

Qualifications:

Degree in Mechanical Engineering or equivalent with hands-on industry experience
Proficiency in Python for engineering applications (simulations, data analysis, automation)
Ability to evaluate technical content critically and provide structured, actionable feedback

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.

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

Compensation Analysis

Rare opportunity for top 1% experts. Earn $75/hr contributing to the world's most advanced AI labs. This is one of the few roles where academic precision is valued as highly as commercial output.

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Frequently Asked Questions

Is this normal AI training work?

No. Ethos is an expert network — not a task queue. You won't be rating chatbot responses. AI labs, investment funds, and Fortune 500s pay to access your specific domain knowledge: deal analysis, clinical reasoning, legal logic, financial modeling. Work takes three forms: paid consulting engagements (multi-week), 30–60 minute advisory calls, and targeted research surveys.

Do I need to constantly apply for projects?

No. Once your profile is live, Ethos's AI automatically matches you to inbound opportunities based on your career history. Companies find you — you don't hunt for listings. Your Expert Score rises with each completed engagement, which unlocks higher-value inbound over time. Ethos already works with 25+ private equity firms, hedge funds, and consultancies, so deal flow is real.

When and how do I get paid?

Payment is processed within 30 days of submitting your invoice after a project closes. This net-30 schedule is standard for enterprise expert networks but slower than weekly-paying AI platforms. Plan your cash flow accordingly — this is not a 'get paid Friday' setup.

What does the work actually look like?

It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.

How flexible is the schedule?

Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.

Is there an interview?

Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.

Who built Ethos and is it legitimate?

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 is actively working with 25+ PE firms, hedge funds, and consultancies. It is legitimate and well-funded. The referral link on this page is an affiliate link — this does not affect your pay or opportunities.