Chemical Engineering QA Lead - AI Training

YO IT Consulting; Dubai; On-site; AED 167,400 - 256,680; Part time

Job summary

YO IT Consulting in Dubai, United Arab Emirates seeks a Chemical Engineering QA Lead for AI Training. The remote role focuses on improving accuracy, calculation quality, and safety in AI training data.

You will review technical content, evaluate trainer submissions, and provide precise written feedback across remote teams. Projects cover mass/energy balances, thermodynamics, fluid/mechanics, and process safety.

Qualifications

• Bachelor-level, Master's, or PhD in Chemical Engineering or closely related field.
• Minimum 3 years of professional chemical engineering experience in process design, plant operations, or QA.
• Strong English communication for precise feedback.
• Solid understanding of mass/energy balances and industrial systems.
• Familiarity with safety, standards, and process calculations.

Responsibilities

• Review AI training items against rubrics and quality requirements.
• Evaluate accuracy, reasoning, calculation methods, and unit consistency.
• Verify mass/energy balances, properties, and numerical results.
• Assess thermodynamics, fluid flow, heat/mass transfer, and reaction engineering.
• Review process designs, operating conditions, and equipment specs.
• Check calculations for correct equations and steps.
• Identify dimensional errors and unsafe recommendations.
• Provide clear written feedback and corrective actions.
• Escalate critical quality concerns to stakeholders.
• Create and maintain quality documentation and onboarding materials.

Skills

Chemical engineering QA

Process engineering

Mass balance calculations

Energy balance calculations

Thermodynamics

Fluid mechanics

Heat transfer

Mass transfer

Reaction engineering

Process safety

Technical documentation

Written technical feedback

Education

Bachelor's, Master's, or PhD in Chemical Engineering

Tools

Discord

Google Sheets

Google Docs

Trackers

Dashboards

Job description

Chemical Engineering QA Lead - AI Training Job Snapshot Role: Chemical Engineering QA Lead - AI Training Location: Dubai, United Arab Emirates Industry: Chemicals Function: Quality Assurance Experience: Minimum 3 years in chemical engineering, process design, technical review, process safety, or engineering quality assurance Job Type: Contract - Remote - work from home

Position Overview Chemical Engineering QA Lead - AI Training in Dubai, United Arab Emirates is a remote Chemicals opportunity focused on improving the technical accuracy, process safety awareness, calculation quality, and consistency of chemical engineering AI training data. YO IT Consulting is seeking an experienced chemical engineering professional to review AI-generated technical content, evaluate trainer and QA submissions, provide precise written feedback, and maintain quality standards across remote engineering teams. This role covers mass and energy balances, thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, process control, separation systems, equipment design, and industrial safety. There is no immediate project assignment. Qualified candidates will join the expert network and receive early consideration when relevant chemical engineering AI training projects become available.

Job Details Country: United Arab Emirates City: Dubai Industry: Chemicals Function: Quality Assurance Salary: 15000-23000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Contract - Remote - work from home

Role Context The Chemical Engineering Quality Assurance Lead will oversee the accuracy and consistency of technical material used to train and evaluate advanced artificial intelligence models. Assignments may include chemical process explanations, numerical calculations, equipment selection, plant operating scenarios, process safety assessments, and engineering problem-solving tasks. The successful candidate will identify incorrect assumptions, calculation errors, unit inconsistencies, weak process reasoning, unsafe recommendations, and incomplete technical explanations. The role also includes coaching trainers and reviewers, maintaining project documentation, supporting onboarding, and developing scalable quality assurance practices for chemical engineering content.

Key Responsibilities

• Review chemical engineering AI training items against detailed project rubrics and technical quality requirements.
• Evaluate engineering accuracy, process reasoning, calculation methods, unit consistency, clarity, formatting, and instruction compliance.
• Verify mass balances, energy balances, material properties, conversion factors, and numerical results.
• Assess content involving thermodynamics, fluid flow, heat transfer, mass transfer, reaction engineering, and separation processes.
• Review chemical process designs, operating conditions, equipment specifications, and plant performance scenarios.
• Check calculations for correct equations, assumptions, boundary conditions, intermediate steps, and final conclusions.
• Identify dimensional errors, incorrect process variables, unsupported assumptions, and misleading engineering recommendations.
• Evaluate process safety considerations involving pressure, temperature, chemical compatibility, containment, and hazardous operations.
• Flag recommendations that could create operational, environmental, health, or industrial safety risks.
• Review the application of engineering codes, industry standards, technical specifications, and accepted practices.
• Assess process flow descriptions, piping and instrumentation concepts, equipment data, tables, graphs, and technical summaries.
• Confirm that AI-generated content appropriately distinguishes general engineering information from decisions requiring professional review.
• Spot-check submissions completed by trainers, engineers, annotators, reviewers, and QA contributors.
• Provide clear written feedback explaining each technical issue and the required corrective action.
• Escalate recurring, critical, or safety‑related quality concerns to project stakeholders.
• Communicate guideline updates, workflow changes, and chemical engineering review standards through Discord and other collaboration tools.
• Respond to contributor questions involving calculations, process design, equipment, safety, standards, and rubric interpretation.
• Contact inactive trainers and QAs, encourage participation, record follow‑ups, and flag availability concerns.
• Create and maintain style guides, FAQs, trackers, quality notes, reference examples, honeypots, calibration tasks, and onboarding materials.
• Conduct remote onboarding and technical training sessions for chemical engineering trainers and reviewers.
• Ensure contributors apply updated engineering review standards consistently as projects evolve.
• Analyze repeated quality failures and recommend improvements to technical review workflows.
• Maintain organized records of reviews, feedback, contributor performance, and corrective actions.

Ideal Profile

• Bachelor 's, Master 's, or PhD degree in Chemical Engineering or a closely related engineering discipline.
• Minimum 3 years of professional experience in chemical engineering, process engineering, plant operations, technical consulting, research, teaching, or quality assurance.
• Strong English communication skills for interpreting technical instructions and delivering precise written feedback.
• Solid understanding of chemical engineering mathematics, process calculations, and industrial systems.
• Strong knowledge of mass and energy balances, thermodynamics, fluid mechanics, heat transfer, mass transfer, and reaction engineering.
• Ability to review equations, assumptions, units, process conditions, and engineering conclusions accurately.
• Familiarity with separation processes, process control, equipment sizing, plant design, or production optimization.
• Understanding of process safety principles, hazard identification, operating limits, and chemical handling risks.
• Awareness of engineering standards, technical specifications, environmental requirements, and industry practices.
• Experience preparing or reviewing process calculations, technical reports, operating procedures, design notes, or engineering documentation.
• Ability to recognize unsafe recommendations, incorrect calculations, and incomplete technical reasoning.
• Strong analytical judgment with careful attention to numerical, scientific, and operational detail.
• Experience leading or supporting engineers, researchers, educators, reviewers, annotators, or QA teams is strongly preferred.
• Ability to apply detailed review rubrics consistently across large volumes of technical content.
• Confidence using Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Experience developing calibration exercises, onboarding resources, style guides, and quality documentation is beneficial.
• Familiarity with AI training, data annotation, large language model evaluation, technical QA, or rubric-based review is advantageous.
• Comfortable working independently in a fast‑moving remote environment.

Skills Set

• Chemical engineering quality assurance
• Process engineering
• Mass balance calculations
• Energy balance calculations
• Chemical thermodynamics
• Fluid mechanics
• Heat transfer
• Mass transfer
• Reaction engineering
• Separation processes
• Process control
• Process simulation
• Equipment design
• Chemical process safety
• Hazard identification
• Unit conversion
• Dimensional analysis
• Technical standards review
• Engineering calculation verification
• Process optimization
• Industrial operations
• Technical documentation
• Quality control
• Rubric-based assessment
• AI-generated content evaluation
• Large language model evaluation
• Data annotation quality
• Trainer performance monitoring
• Written technical feedback
• Style guide development
• Calibration task design
• Contributor onboarding
• Remote team coordination
• Discord
• Google Sheets
• Google Docs
• Quality trackers
• Process improvement

Why Join Us

This opportunity allows chemical engineering professionals to apply technical expertise within the rapidly growing artificial intelligence sector. The work directly influences how AI systems perform process calculations, explain engineering principles, evaluate industrial scenarios, recognize safety risks, and communicate technical solutions. Qualified specialists will become part of a flexible remote expert network and receive priority consideration for suitable future assignments. The role also offers exposure to emerging AI evaluation methods, international technical teams, complex engineering datasets, and quality frameworks used to develop next-generation AI models.

About the Company

YO IT Consulting connects experienced engineers and domain specialists with remote AI training and technical quality projects. Operating from Dubai, United Arab Emirates, the company recruits experts worldwide whose professional knowledge helps improve the accuracy, reasoning, safety awareness, and practical reliability of modern artificial intelligence systems.