[Remote] Civil Engineering QA Lead - Remote

Note: The job is a remote job and is open to candidates in USA. YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Civil Engineering Quality Assurance Lead to oversee quality and consistency across civil engineering AI training projects, reviewing AI-generated content and ensuring adherence to quality standards.ResponsibilitiesQuality monitoring: Spot-check civil engineering items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issuesTechnical review: Evaluate AI-generated engineering explanations, structural calculations, geotechnical reasoning, construction guidance, infrastructure recommendations, diagrams/descriptions, and problem-solving workflows for correctness and clarityTrainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and civil-engineering-specific review standardsQuestion handling: Respond to trainer/QA questions clearly and promptly, especially around engineering assumptions, units, formulas, loads, factors of safety, design constraints, standards references, and rubric interpretationTrainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when neededDocumentation: Create and maintain civil engineering project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materialsOnboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and civil-engineering-specific review requirementsQuality alignment: Ensure all trainers and QAs apply engineering guidelines consistently and understand updates as projects evolveRisk and safety review: Flag unsafe, misleading, or overconfident engineering recommendations, especially where structures, infrastructure, construction safety, foundations, transportation systems, drainage, or public safety may be affectedProcess improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for civil engineering AI training projectsSkillsBachelor's or Master's degree in Civil Engineering, Structural Engineering, Geotechnical Engineering, Transportation Engineering, Environmental Engineering, Construction Engineering, or a closely related engineering fieldStrong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback in English3+ years of professional experience in civil engineering, structural design, geotechnical engineering, transportation planning, construction management, infrastructure design, water resources, environmental engineering, technical review, engineering education, or related workflowsStrong understanding of core civil engineering topics such as statics, structural analysis, reinforced concrete, steel design, soil mechanics, foundations, hydraulics, hydrology, transportation systems, surveying, construction materials, and engineering drawing interpretationAbility to evaluate engineering content against detailed rubrics and identify issues such as incorrect assumptions, flawed calculations, missing units, unsafe recommendations, code/standards hallucinations, incomplete explanations, or unrealistic design guidanceComfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systemsHighly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentationFamiliarity with common civil engineering tools or workflows such as AutoCAD, Civil 3D, Revit, ETABS, SAP2000, STAAD.Pro, SAFE, HEC-RAS, HEC-HMS, ArcGIS/QGIS, Bluebeam, Excel, MATLAB, or PythonExperience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or QAsExperience with AI training, data annotation, large language models, prompt/response evaluation, technical content QA, or rubric-based LLM evaluationCompany OverviewOur Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. It was founded in 2018, and is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, with a workforce of 51-200 employees. Its website is https://www.yoitconsulting.com.