[Remote] Chemical Engineer Quality Assurance Lead (QAL)

Note: The job is a remote job and is open to candidates in USA. SME Careers is a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies. The Chemical Engineering Quality Assurance Lead (QAL) will oversee quality and consistency across chemical engineering AI training projects, ensuring that all engineering training data is accurate and aligned with client expectations.ResponsibilitiesQuality monitoring: Spot-check chemical engineering items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issuesTechnical review: Evaluate AI-generated engineering explanations, process calculations, mass/energy balances, reaction engineering solutions, separation process reasoning, process-control explanations, 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 chemical-engineering-specific review standardsQuestion handling: Respond to trainer/QA questions clearly and promptly, especially around engineering assumptions, units, formulas, balances, reaction conditions, process constraints, safety concerns, 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 chemical 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 chemical-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 chemicals, process conditions, reactions, plant operations, pressure systems, thermal hazards, environmental impact, or worker safety may be affectedProcess improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for chemical engineering AI training projectsSkillsBachelor's or Master's degree in Chemical Engineering, Process Engineering, Biochemical Engineering, Materials Engineering, Petroleum 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 chemical engineering, process engineering, plant operations, process design, R&D, manufacturing, process safety, technical review, engineering education, or related workflowsStrong understanding of core chemical engineering topics such as mass and energy balances, thermodynamics, fluid mechanics, heat transfer, mass transfer, reaction engineering, separation processes, process control, transport phenomena, and process designAbility to evaluate engineering content against detailed rubrics and identify issues such as incorrect assumptions, flawed calculations, missing units, unsafe recommendations, incomplete mass/energy balances, hallucinated standards, or incomplete explanationsHighly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentationFamiliarity with common chemical engineering tools or workflows such as Aspen Plus, Aspen HYSYS, MATLAB, Python, CHEMCAD, COMSOL, process simulators, PFDs, P&IDs, Excel modeling, or process safety documentationExperience leading or supporting remote teams of trainers, annotators, reviewers, engineers, technical writers, or QAsComfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systemsExperience with AI training, data annotation, large language models, prompt/response evaluation, technical content QA, or rubric-based LLM evaluationCompany OverviewSME Careers by SuperAnnotate connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review. It was founded in undefined, and is headquartered in San Francisco, California, US, with a workforce of 11-50 employees. Its website is https://sme.careers/.