Civil Design Engineer
Quick facts
- Pay
- $125 per task
- Type
- Contract
- Location
- Remote
- Platform
- DataAnnotation.tech — 21 open jobs
- Payout
- PayPal (on request (arrives within a few days))
- Apply
- Free to apply — never pay to get AI training work
Pay: up to $125+ /hour (depends on task difficulty and specialization)
Location: Remote · Type: Independent contractor · Hours: Flexible hours · Payouts: Weekly
Overview
We’re looking for an experienced Civil Design Engineer to help train AI models. You’ll design challenging, realistic engineering tasks from your own professional expertise, check them with simulation, and show exactly where AI models fall short.
This is a new area for our company, focused on building hard, realistic engineering tasks for AI to attempt. Your expertise and written solutions become the signal that shapes the next generation of AI.
What you’ll actually do
- Design challenging, realistic civil engineering tasks for AI agents, drawn from your own expertise, including tasks that use custom tool environments.
- Design and simulate a real-world physical object or system end to end, and use simulation to check your work.
- Test AI models against your task and document where they fail.
- Write the correct solution and the grading rubric that defines what good looks like.
Roles this fits
Common backgrounds: Civil Design Engineer, Structural Engineer, Design Engineer.
What we look for
- A bachelor’s degree or higher in civil engineering or a closely related field.
- Comfortable working with simulation tools.
- Able to write clear solutions and grading rubrics in fluent written English.
- Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role.
Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
How it works
Apply, pass the qualification assessment, then pick up paid projects whenever you want and get paid weekly.
Platform specialized in AI response comparison, evaluation, and human feedback tasks used to improve large language models. DataAnnotation.tech focuses on reasoning-heavy work such as ranking AI outputs, assessing correctness, and providing structured feedback, making it particularly suitable for contributors interested in LLM evaluation rather than simple data labeling.