Civil/Structural Engineer (Buildings), Plan Review
Review US building plans and evaluate AI responses against engineering standards in a remote, project-based role. Work 20+ hours per week at up to $62.50 per hour.
Posted Nov 5, 2026
Use your military training and readiness expertise to write, review, and assess material that helps improve AI systems. This remote contract offers flexible weekly hours over 1 to 3 months and pays $50 to $100 per hour.
Generative AI & RLHF
$50–$100/hr
Compensation
Contract, part-time
Engagement
Remote
Location
Nov 5, 2026
Posted
Open in 52 countries
You will support AI training focused on military training and readiness. The work involves applying your subject knowledge to training scenarios, readiness assessments, source materials, and AI-generated responses.
You will explain your judgments clearly and help keep reviews consistent across repeated tasks. Prior AI training experience is not required.
OpenTrain is a platform where people find AI training work and apply to projects. AI training uses human expertise to prepare examples, review model outputs, and give feedback that helps AI systems improve.
This is remote contractor work with flexible weekly hours over a 1 to 3 month project period. Estimated project earnings are $8,000 to $16,000 based on an OpenTrain assumption of 20 hours per week.
The role is open to candidates in the countries listed for the project, including the United States, Canada, the United Kingdom, France, Germany, and India.
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 3 screening questions.
AI training is the human work behind systems that generate and evaluate text, images, audio, and other content. Experienced professionals are paid to apply their field knowledge, review model behavior, and provide clear feedback that helps make AI systems more accurate and useful.
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