Civil Engineering QA Lead for AI Training Projects
Overview
Remote, hourly contractor role focused on quality across civil engineering AI training work. You’ll review AI-generated civil engineering content and evaluate it against project rubrics, delivering precise feedback to uphold accuracy and clarity. Expect to maintain documentation, style guides, and onboarding materials to support consistent review standards. This position helps SME Careers improve the reliability of data used to train leading AI models by ensuring technical soundness and thorough documentation. AutoCAD, Civil 3D, ETABS, and HEC-RAS play a central role in how outputs are interpreted and checked.
What You'll Do10
- 1Monitor civil engineering items for quality, provide targeted feedback via DMs, and escalate critical issues when necessary.
- 2Perform technical reviews of AI-generated explanations, structural calculations, geotechnical reasoning, and infrastructure guidance for correctness and clarity.
- 3Keep trainers and QAs aligned by sharing guidelines, workflow updates, and rubric expectations on Discord.
- 4Respond promptly to questions about engineering assumptions, units, formulas, loads, safety factors, and standards references with clear guidance.
- 5Manage activity and availability of contributors, encouraging re-engagement and tracking follow-ups as needed.
- 6Create and maintain civil engineering project documentation, including style guides, trackers, FAQs, quality notes, and onboarding materials.
- 7Lead onboarding and training sessions to explain project expectations, rubrics, and civil-engineering review requirements.
- 8Ensure consistent application of engineering guidelines across trainers and QAs amid evolving projects.
- 9Flag unsafe or misleading recommendations affecting structures, foundations, transportation systems, or public safety.
- 10Identify recurring quality gaps and propose scalable QA process improvements for AI training projects.
Requirements9
- 1Bachelor’s or Master’s degree in civil engineering or a closely related field such as structural, geotechnical, transportation, environmental, or construction engineering.
- 2Strong English communication skills to follow guidelines and provide clear technical feedback.
- 3Minimum of 3 years’ professional experience in civil engineering areas like structural design, geotechnical work, transportation planning, or water resources.
- 4Solid grasp of core topics including statics, structural analysis, reinforced concrete, steel design, soil mechanics, hydraulics, hydrology, surveying, and construction materials.
- 5Ability to evaluate engineering content against detailed rubrics and identify issues such as incorrect assumptions, unit inconsistencies, or unsafe recommendations.
- 6Familiarity with common civil engineering tools and workflows, including AutoCAD, Civil 3D, ETABS, SAP2000, and HEC-RAS; ArcGIS is a plus.
- 7Experience leading or supporting remote teams of trainers, annotators, reviewers, or QAs is strongly preferred.
- 8Comfort working in fast-moving remote environments using Discord, Google Sheets, and project trackers.
- 9Detail-oriented with the ability to maintain style guides, FAQs, onboarding materials, and calibration tasks.
Who Should Apply
Candidates with a solid civil engineering background who have hands-on QA leadership in remote settings will excel. You should bring demonstrable experience evaluating engineering content against rubrics and providing precise written feedback. Strong English communication and the ability to document findings clearly are essential. If you lack remote collaboration experience or deep civil engineering domain knowledge, this role may not be a strong fit. Those without exposure to AI training, data annotation, or rubric-based evaluation may face a steeper learning curve.
Salary Insight
$105/hr. This is an hourly remote contract role suitable for mid-senior level civil engineering QA professionals aligning with AI training data work.
Location
Required Skills
Application Tip
In your application, attach a concise example where you identified a units or safety issue in civil engineering content and describe how you documented the fix in a tracker, including any rubric references used.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.
SME Careers
VerifiedMechanical Engineering Quality Assurance Lead for remote contract
As a remote contract role, you’ll lead quality control for mechanical engineering AI training projects. You’ll review AI-generated content, perform technical evaluations, and provide precise feedback to maintain alignment with project rubrics. Expect to document standards, calibrate workflows, and guide remote trainers and QA specialists. Strong mechanical engineering expertise and clear English communication are essential to ensure accurate, safety-conscious outcomes. This role supports SME Careers and contributes to high-quality data used by leading AI models.
SME Careers
VerifiedElectrical Engineering QA Lead Remote Contract
Operate as a remote, hourly contract leader for electrical engineering AI training initiatives. Review AI-generated explanations, circuit analyses, and design guidance for accuracy and clarity, delivering precise, written feedback that developers can act on. Support llm evaluation by checking engineering reasoning, unit consistency, and safety considerations, and by maintaining up-to-date style guides and rubrics. Coordinate with remote trainers and QAs to ensure consistent application of guidelines as projects evolve.
Micro1
VerifiedCivil Engineer for Remote Contract Work in AI Training
A remote contractor role for civil engineers to contribute expertise on a high-impact customer project. You’ll help train next-generation AI systems by providing real-world input and evaluation material. Domain knowledge in civil engineering is the key; no prior AI experience required. You’ll design tasks, curate technical documents, and ensure solutions comply with codes and constraints. This work centers on authentic, practical engineering content across structural design, transportation, water systems, and site development. Civil Engineering, Code compliance, and Technical documentation are core focus areas.
SME Careers
VerifiedChemical Engineering QA Lead for AI Training Projects
Work remotely as a contract specialist guiding chemical engineering AI training projects. You will review AI-generated engineering content for accuracy, unit integrity, and safety awareness. Maintain rubrics, style guides, and onboarding materials to keep distributed teams aligned. Strong chemical engineering expertise and precise English communication keep QA consistent across remote contributors.
SME Careers
VerifiedCivil Engineer for AI Content Evaluation Remote Contract
Remote contract opportunity for a seasoned civil engineer focused on evaluating AI-generated civil content in infrastructure domains. Operate on real-world scenarios spanning structural analysis, drainage design, and pavement design to test model accuracy and reasoning. Provide concrete, actionable feedback that helps models explain assumptions, calculations, and safety considerations. This role partners with SME Careers to shape how AI systems understand civil engineering topics while working from home.
SME Careers
VerifiedArchitecture QA Lead for Design and AI Training
Remote contract role leading architecture and design QA for AI training projects spanning architecture, interior design, urban design, and the built environment. Review AI-generated design content and assess it against project rubrics, delivering precise written feedback to keep outputs practical and well explained. Collaborate with remote trainers and QA specialists, maintaining documentation, style guides, and calibration tasks as projects evolve. Apply rigorous evaluation of spatial reasoning, scale, proportion, accessibility, and sustainability to identify issues and guide improvements. Selection involves an AI interview, a domain-specific task, and a recruiter discussion.