Use your civil engineering expertise to design evaluation tasks, technical documents, complex problems, and rubrics that help AI models reason about engineering design and code compliance. Contract work pays $50–$100 per hour for 20+ hours weekly.
Generative AI & RLHF
100% Remote Hourly · $50–$100/hr
$50–$100/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 12, 2026
Posted
Open worldwide
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OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping contributors discover projects, build a professional profile, and grow in a rapidly expanding field.
AI training is the human side of building modern artificial intelligence. Experts create and review examples, evaluate model responses, and develop rigorous assessment standards that help AI systems become more accurate and useful.
The Role
As a Civil Engineering AI Training Task Author, you will apply professional civil engineering knowledge to create evaluation materials for large language model assessment. Your work will focus on civil engineering reasoning, technical accuracy, realistic constraints, and code compliance.
This is a part-time contractor opportunity requiring 20+ hours per week. The listed pay range is $50–$100 per hour, based on experience and project requirements.
Work arrangement: Remote and worldwide
Employment type: Contractor, part time
Schedule: 20+ hours per week
Pay: $50–$100 per hour
Primary language: English
What You'll Do
You will design realistic, challenging civil engineering tasks and establish the standards used to evaluate AI-generated solutions. The work spans multiple civil engineering areas and includes technical documentation, data files, and iterative collaboration.
Design evaluation tasks covering structural design, transportation, water systems, and site development.
Source, generate, and curate technical documents such as engineering drawings, geotechnical reports, specification sheets, cost estimates, and regulatory code references.
Determine accurate engineering solutions while ensuring regulatory and geometric constraints are satisfied.
Create comprehensive, multi-item rubrics for grading technical correctness and code adherence.
Create and validate realistic, high-volume data files, including CSVs, PDFs, and spreadsheets.
Collaborate with stakeholders to refine task clarity, realism, and evaluation standards.
Required Qualifications
This role requires substantial professional civil engineering experience and the ability to work confidently with technical documentation, regulatory requirements, and complex engineering constraints. The opportunity is listed at an entry-level classification, but the role requirements call for at least five years of professional civil engineering experience.
At least five years of professional experience contributing to civil engineering projects across diverse domains.
Professional Engineer (PE) license or active pursuit of licensure is strongly preferred.
Mastery of technical documentation, including code-compliance materials and design specifications.
Experience sourcing and interpreting regulatory codes and integrating them into technical solutions.
Proficiency generating or reviewing complex technical artifacts, including drawings, reports, and data sets.
Strong written communication skills for authoring clear and comprehensive evaluation materials.
Who Should Apply
This opportunity is suited to civil engineering professionals who enjoy breaking down complex technical problems, defining what a correct solution requires, and communicating engineering standards clearly. Your expertise will help shape how AI systems handle civil engineering reasoning and compliance questions.
Civil engineers with experience across multiple project domains
Professionals skilled in code-compliant design review and technical documentation
Engineers comfortable creating or validating drawings, reports, specifications, and structured data
PE-licensed engineers or professionals actively pursuing licensure
Why Work in AI Training
AI training and data labeling work gives subject-matter experts a direct role in developing cutting-edge technology. Contributors prepare examples, write evaluation criteria, and review model behavior so AI systems can perform better in specialized fields such as civil engineering.
Remote contractor projects can provide flexible work that fits around other professional or personal commitments, while allowing experts to apply their knowledge to the next generation of AI systems.
Remote work from anywhere with a computer and internet connection
Part-time scheduling designed for flexible workloads
A way to apply specialized civil engineering expertise to emerging AI technology
Opportunities to build experience in AI training and evaluation
How to Get Started
Create a free OpenTrain account to build your profile and apply in minutes. Highlight your civil engineering experience, technical documentation background, code-compliance expertise, and PE licensure or licensure progress.
Create your free OpenTrain profile
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