WIRESTOCK is looking for a Subject Matter Expert in Technology, Repair & Maintenance to support the development and evaluation of digital content, educational frameworks, and practical AI applications.

In this role, you will apply your domain expertise to translate computer systems, hardware architectures, diagnostic troubleshooting, mechanical/electrical maintenance, and repair protocols into clear, structured evaluation criteria, benchmarks, and educational materials. You will review and evaluate domain-specific content to ensure procedural correctness, technical accuracy, code and schematic integrity, safety compliance, and real-world applicability across various digital and multimedia formats.

Key Responsibilities:

• Develop structured frameworks, evaluation rubrics, reference guides, and assessment criteria tailored to hardware/software diagnostics, consumer electronics, IT infrastructure, automotive/mechanical systems, and technical troubleshooting workflows.
• Review, annotate, and evaluate AI-generated and human-authored technical guides, repair procedures, diagnostic logic trees, code samples, and schematic walkthroughs for factual depth, efficiency, and hazard prevention.
• Translate complex engineering concepts, standard operating procedures (SOPs), tool usages, and system architectures into accessible, high-quality learning resources.
• Provide actionable, constructive feedback to cross-functional teams to refine technical rigor, procedural safety, and pedagogical effectiveness.
• Collaborate with Project Managers, instructional designers, and technical production teams to establish domain quality standards.

Requirements:

• Demonstrated professional or academic expertise in Computer Science, Information Technology, Electrical/Mechanical Engineering, Systems Maintenance, Electronics Repair, or a related technical discipline/skilled trade.
• Strong analytical skills and exceptional attention to detail regarding technical workflows, diagnostic accuracy, and trade safety standards.
• Ability to translate complex technical concepts and procedures into clear, structured, and measurable evaluation criteria.
• Excellent written English communication skills.
• Experience in technical writing, instructional design, curriculum development, assessment creation, or quality evaluation.
• Comfortable working with AI-generated content, technical documentation, and digital learning platforms.
• Ability to work independently, meet deadlines, and follow detailed project guidelines.

Preferred Qualifications:

• Previous experience with AI evaluation, technical data annotation, or AI model benchmarking projects.
• Experience developing technical assessments, SOPs, repair manuals, coding challenges, or vocational training curricula.
• Familiarity with interactive schematics, 3D exploded diagrams, digital diagnostic tools, or technical multimedia learning resources.
• Experience collaborating with software engineers, technicians, or digital content production teams.

Project Details:

• Duration: 2–3 weeks
• Work Model: Fully remote
• Schedule: Flexible / self-managed
• Compensation: Payment per developed material / evaluated asset
• Payment Method: Payoneer or PayPal