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OpenTrain AIFor AI Companies

Mechanical & Aerospace Test Reliability Engineer

Create research-level problems that help train AI models using real mechanical and aerospace test data. This flexible contractor role pays $50 per hour and suits engineers with hands-on testing experience.

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OpenTrain AI

Generative AI & RLHF

Remote Hourly · $50/hr

$50/hr

Compensation

Contract

Engagement

Remote

Location

Nov 11, 2026

Posted

Open in 95 countries

United States
+ more
  • Albania
  • Algeria
  • Antigua and Barbuda
  • Armenia
  • Australia
  • Austria
  • Bahamas
  • Bahrain
  • Belgium
  • Benin
  • Bhutan
  • Bosnia and Herzegovina
  • Botswana
  • Brunei
  • Bulgaria
  • Canada
  • Costa Rica
  • Côte d’Ivoire
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Ecuador
  • El Salvador
  • Estonia
  • Ethiopia
  • Finland
  • France
  • Gambia
  • Germany
  • Greece
  • Guatemala
  • Guyana
  • Hong Kong
  • Hungary
  • Iceland
  • India
  • Indonesia
  • Ireland
  • Israel
  • Italy
  • Jamaica
  • Jordan
  • Kenya
  • Kuwait
  • Latvia
  • Liechtenstein
  • Lithuania
  • Luxembourg
  • Madagascar
  • Malaysia
  • Malta
  • Mauritius
  • Mexico
  • Moldova
  • Mongolia
  • Morocco
  • Mozambique
  • Namibia
  • Netherlands
  • New Zealand
  • North Macedonia
  • Norway
  • Oman
  • Pakistan
  • Panama
  • Peru
  • Philippines
  • Poland
  • Portugal
  • Qatar
  • Romania
  • Rwanda
  • Saint Lucia
  • Senegal
  • Serbia
  • Singapore
  • Slovakia
  • Slovenia
  • South Africa
  • Spain
  • Sri Lanka
  • Sweden
  • Switzerland
  • Taiwan
  • Tanzania
  • Thailand
  • Trinidad and Tobago
  • Tunisia
  • Türkiye
  • United Arab Emirates
  • United Kingdom
  • United States
  • Uzbekistan
  • Vietnam

The work

You will create challenging, research-level problems for AI training. Your work will be grounded in practical mechanical and aerospace test engineering and real data from performance trials, vibration and modal surveys, rig or flight tests, and failure investigations.

You will use engineering judgment to develop accurate problems and clear supporting explanations. Contributions must be well documented, technically sound, and understandable to a reader reviewing the engineering decisions.

  • Write research-level problems based on mechanical and aerospace test engineering.
  • Work with real test data from performance testing, vibration analysis, modal surveys, commissioning, condition monitoring, rig testing, flight testing, and failure investigations.
  • Explain technical work and engineering judgments clearly.
  • Manage your own time across independent, flexible assignments.

What it pays and takes

Hands-on experience with real test data is required, while deeper testing experience and supporting professional or academic work are helpful.

  • $50 per hour.
  • Flexible, task-based assignments.
  • Open to candidates in the countries listed for this role.
  • Hands-on experience working with your own real test data.
  • Working knowledge of Python or a similar language for reducing and analyzing test data.
  • Clear technical writing and the ability to explain engineering judgments.
  • Ability to work independently as an individual contractor without visa sponsorship.
  • Three or more years of hands-on test, commissioning, or condition-monitoring experience is preferred.
  • A bachelor's, master's, or doctoral degree in mechanical or aerospace engineering is helpful.
  • Experience writing acceptance or performance test reports, or using standards such as ISO 10816/20816, API 670, or ASME PTC, is helpful.
  • Chartered Engineer or PE credentials, public code, a thesis, technical papers, or prior data annotation, data labeling, or AI or machine learning evaluation experience may support your application.

How it works

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses examples prepared and reviewed by people to help artificial intelligence systems learn. In this role, your engineering experience helps create accurate problems and explanations for evaluating AI models.

Requirements

  • Languages: English

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