[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 and foundation-model labs. They are seeking a Civil Engineering Quality Assurance Lead to oversee quality, consistency, and trainer performance across civil engineering AI training projects. The role involves reviewing AI-generated civil engineering content, providing feedback, and ensuring adherence to quality standards. Responsibilities Quality monitoring Spot-check civil engineering items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues Technical review Evaluate AI-generated engineering explanations, structural calculations, geotechnical reasoning, construction guidance, infrastructure recommendations, diagrams/descriptions, and problem-solving workflows for correctness and clarity Trainer and QA communication Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and civil-engineering-specific review standards Question 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 interpretation Trainer/QA activation management DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed Documentation Create and maintain civil engineering project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials Onboarding 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 requirements Quality alignment Ensure all trainers and QAs apply engineering guidelines consistently and understand updates as projects evolve Risk 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 affected Process improvement Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for civil engineering AI training projects Skills Bachelor's or Master's degree in Civil Engineering, Structural Engineering, Geotechnical Engineering, Transportation Engineering, Environmental Engineering, Construction Engineering, or a closely related engineering field Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear technical feedback in English 3+ 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 workflows Strong 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 interpretation Ability 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 guidance Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation Familiarity 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 Python Experience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or QAs Experience with AI training, data annotation, large language models, prompt/response evaluation, technical content QA, or rubric-based LLM evaluation Benefits This will also provide you with access to future projects available through our expert network. Company Overview yohrs is an 'embedded, on-demand' recruitment & HR consultancy. It was founded in 2022, and is headquartered in Harpenden, GB, with a workforce of 2-10 employees. Its website is http//www.yohrs.co.uk.