Civil Engineering QA Lead

As a Civil Engineering QA Lead, you will review AI-generated civil engineering content and trainer quality-assurance work. You will check technical accuracy, calculations, units, safety, clarity, formatting, and compliance with detailed project rubrics.

You will also give written feedback, support onboarding, maintain project guidance, and help identify recurring quality problems across remote technical workflows.

• Review civil engineering explanations, calculations, diagrams, and problem-solving workflows.
• Check assumptions, units, standards, safety, reasoning, and instruction-following.
• Give precise written feedback to trainers and quality reviewers.
• Maintain style guides, FAQs, trackers, examples, calibration tasks, honeypots, and onboarding materials.
• Support onboarding and training calls and help improve quality processes.
• Share updates clearly through remote team tools and keep quality expectations consistent.

What it pays and takes

This is a part-time, hourly contractor role for civil engineering quality leadership in AI training projects. The listing is marked entry level, but the role requires substantial civil engineering experience and technical review ability.

• Pay: Up to $105 per hour.
• Time: 20+ hours per week.
• Work location: Remote, limited to candidates in the United States.
• Language: Strong English communication skills are required.
• Education: Bachelor’s or master’s degree in civil engineering or a closely related engineering field.
• Experience: At least 3 years in civil engineering, structural, geotechnical, transportation, construction, or technical review work.
• Knowledge: Statics, structural analysis, soil mechanics, foundations, hydraulics, transportation systems, and construction materials.
• Quality skills: Ability to assess technical work against detailed rubrics and find calculation, reasoning, and safety issues.
• Preferred: Experience with AI training, rubric-based large language model evaluation, or remote quality-assurance workflows.
• Helpful tools: AutoCAD, Civil 3D, Revit, ETABS, SAP2000, STAAD.Pro, SAFE, HEC-RAS, HEC-HMS, ArcGIS or QGIS, Bluebeam, Excel, MATLAB, or Python.
• Helpful leadership background: Leading remote teams of trainers, annotators, reviewers, engineers, technical writers, or quality reviewers.

How it works

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

About AI training work

AI training is the human work behind systems that generate and evaluate content. People review examples, rate model responses, and check technical accuracy so AI systems can produce safer and more useful results. OpenTrain helps people find and build careers in this field, and experienced specialists are paid for applying their professional knowledge to these reviews.