Join OpenTrain as a US-licensed civil engineer to review and improve AI-generated civil engineering content, providing expert feedback, references, and practical insight. Flexible, remote contract work paying $65–$90/hr for experienced professionals.
Generative AI & RLHF
Remote Hourly · $65–$90/hr
$65–$90/hr
Compensation
1 country
Eligibility
Expert
Experience
Jul 23, 2026
Posted
Open to applicants in
United States
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OpenTrain is the #1 platform for people building careers in AI training and data labeling. We connect skilled contributors with meaningful work that shapes how modern AI systems learn and behave, and we help freelancers track projects and grow a durable portfolio of domain expertise.
About AI training work
AI training (data labeling and human feedback) is the human side of building intelligent systems. Experts review and correct model outputs, rate responses, and write domain-specific guidance so AI systems become accurate, safe, and useful.
This role focuses on evaluating written text and AI-generated answers about civil engineering so models better understand real-world practices, codes, and workflows.
The role
You will act as a Civil Engineering AI Evaluation Expert: reviewing AI-generated responses and written technical content for accuracy, clarity, and usefulness in civil engineering contexts.
Work is contract, fully remote, and part-time. The listing describes approximately 10 hours per week in the role description but also includes a structured time requirement of 20+ hours/week — please confirm your availability when you apply.
Provide expert review and professional feedback on model outputs and technical text
Identify authoritative references and practical resources for civil engineering topics
Share realistic descriptions of tools, workflows, and industry standards
What you'll do
Daily tasks combine careful reading, technical judgment, and clear written feedback. You will help train AI to reason like a practicing civil engineer.
Evaluate AI-generated answers and written content for technical accuracy and code compliance
Answer domain-specific questions with well-reasoned explanations and corrective guidance
Recommend relevant standards, codes, and references (e.g., ASCE, IBC, AASHTO) and point to useful source material
Document common mistakes, ambiguous phrasing, and real-world constraints that affect engineering decisions
Collaborate with a small group of subject-matter experts across fields to harmonize feedback and guidelines
Requirements
You must meet the core professional and technical requirements below. We preserve all substantive criteria from the role description.
Degree-qualified civil engineer
US Professional Engineer (PE) license required
At least 2 years of professional civil engineering experience
Familiarity with relevant codes and standards such as ASCE, IBC, and AASHTO
Experience with common civil engineering tools such as AutoCAD Civil 3D, STAAD, or Revit
Professional working English and comfort evaluating written technical content
Experience writing technical specifications, design reports, or training material is a plus
Compensation, logistics, and who should apply
This is a contract, part-time role open to candidates based in the United States. Work is fully remote and flexible.
Pay range: $65–$90 per hour (hourly rate depends on experience and final scope). Employment type: contractor, part-time. Languages: English required.
Typical engagement: flexible part-time (see note above about 10 hours/week vs. 20+ hours/week availability)
Ideal for licensed civil engineers who enjoy translating professional practice into clear written guidance
You will contribute directly to how AI systems learn to reason about civil engineering, improving safety and usefulness
How it works
Apply with your OpenTrain profile, professional credentials, and a brief note about relevant experience. Selected contributors receive task instructions, examples, and a small onboarding exercise.
You will complete short evaluation tasks in our platform, provide structured ratings and written feedback, and may participate in small-group calibration sessions with other experts.
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