AI Training QA Lead - Mechanical Engineering (Remote)

YO IT Consulting; Dubai; On-site; AED 156,240 - 245,520; Full time

Job summary

YO IT Consulting seeks a Mechanical Engineering QA Lead - AI Training in a remote capacity from Dubai. You will review AI-generated mechanical content, assess trainer and QA submissions, and provide precise feedback to ensure high-quality technical standards across distributed expert teams.

Ideal candidates hold a degree in Mechanical/Industrial Engineering with 3+ years in engineering QA, calculations, or technical review, and excellent written English to communicate rubrics and findings

Qualifications

• Bachelor's/Master's/PhD in Mechanical Engineering or related discipline.
• Minimum 3 years in mechanical engineering, design, manufacturing, or QA roles.
• Strong English communication and technical feedback skills.
• Familiarity with engineering mathematics, thermodynamics, fluids, and materials.

Responsibilities

• Review AI training items against project rubrics and quality standards.
• Evaluate accuracy, calculation methods, reasoning quality, terminology, and formatting.
• Verify equations, units, assumptions, and intermediate steps.
• Identify unsafe recommendations, incorrect calculations, or incomplete reasoning.
• Provide precise written feedback and escalate critical quality concerns.

Skills

Quality assurance

Engineering calculations

AI training

Rubric-based assessment

Education

Bachelor's in Mechanical Engineering

Tools

Discord

Google Sheets

Google Docs

Job description

YO IT Consulting seeks a Mechanical Engineering QA Lead - AI Training in a remote capacity from Dubai. You will review AI-generated mechanical content, assess trainer and QA submissions, and provide precise feedback to ensure high-quality technical standards across distributed expert teams.

Ideal candidates hold a degree in Mechanical/Industrial Engineering with 3+ years in engineering QA, calculations, or technical review, and excellent written English to communicate rubrics and findings