Chemical Engineering Quality Assurance Lead (QAL)

About the Role

This is a remote, hourly contractor role for a Chemical Engineering Quality Assurance Lead (QAL) responsible for overseeing quality, consistency, and contributor performance across chemical engineering AI training projects.

You will review AI-generated chemical engineering content, evaluate trainer and QA work, maintain technical quality standards, support onboarding activities, manage contributor performance, and ensure adherence to engineering review guidelines and evaluation rubrics.

The role combines chemical engineering expertise, technical quality assurance, AI evaluation, process safety review, contributor support, and workflow improvement.

Key Responsibilities

Quality Monitoring

• Review chemical engineering training items and QA outputs
• Identify quality issues and recurring technical errors
• Provide detailed feedback to contributors
• Escalate critical quality concerns

Technical Review

Evaluate AI-generated process calculations, mass balance solutions, energy balance solutions, reaction engineering analyses, separation process reasoning, and process control explanations.

Verify technical accuracy, engineering logic, calculation correctness, unit consistency, process assumptions, standards awareness, safety compliance, and clarity of explanation.

Trainer & QA Communication

• Communicate guideline updates and workflow changes
• Clarify chemical-engineering-specific review standards
• Maintain contributor alignment

Question Resolution

Respond to contributor questions regarding engineering assumptions, process calculations, units and conversions, mass balances, energy balances, thermodynamic relationships, reaction conditions, process constraints, safety requirements, and rubric interpretation.

Contributor Activation Management

• Follow up with inactive contributors and track engagement
• Encourage participation and task completion

Documentation Management

Create and maintain style guides, engineering FAQs, quality notes, calibration tasks, examples, trackers, honeypots, and onboarding materials.

Onboarding & Training

• Conduct onboarding and training sessions
• Explain project workflows, evaluation rubrics, engineering quality standards, technical review procedures, and process safety requirements

Risk & Safety Review

Identify and flag unsafe recommendations, dangerous process advice, hazardous operating conditions, pressure-system risks, thermal hazards, chemical handling concerns, environmental risks, and worker safety issues.

Process Improvement

• Identify recurring quality gaps and recommend workflow improvements
• Help build scalable QA processes for chemical engineering projects

Required Skills & Qualifications

• Bachelor's or Master's degree in Chemical Engineering, Process Engineering, Biochemical Engineering, Materials Engineering, Petroleum Engineering, or related discipline
• 3+ years of professional experience in chemical engineering, process engineering, plant operations, process design, manufacturing, R&D, or process safety
• Strong understanding of mass balances, energy balances, thermodynamics, fluid mechanics, heat transfer, mass transfer, reaction engineering, separation processes, process control, and transport phenomena
• Ability to identify incorrect assumptions, calculation errors, missing units, unsafe recommendations, incomplete balances, hallucinated standards, and process design flaws
• Strong written English, technical feedback, and documentation skills

Preferred Qualifications

• Experience with Aspen Plus, Aspen HYSYS, CHEMCAD, COMSOL, MATLAB, Python, process simulators, PFD/P&ID interpretation, or process safety documentation
• Experience leading or supporting engineers, technical reviewers, QA teams, or annotation teams
• Experience with AI training, data annotation, LLM evaluation, or rubric-based QA
• Familiarity with Discord, Google Docs, Google Sheets, and project management systems

Additional Information

• Fully remote — Flexible schedule — Weekly payments
• Access to future opportunities through the SME Careers expert network

About SME Careers

SME Careers is an AI data services company and subsidiary of SuperAnnotate that provides training data for leading AI companies and foundation-model laboratories.