IT Manager, IT Strategy And Systems Architecture

You will help improve AI tools for IT professionals by applying practical experience in IT strategy, systems architecture, infrastructure, compliance, vendor management, and technical leadership. Your work includes structured discussions and written assignments focused on making AI-generated IT guidance more accurate and useful.

• Assess IT strategy, systems architecture, technology roadmaps, and infrastructure optimization.
• Review vendor management, procurement, contract considerations, and third-party system integration scenarios.
• Identify gaps in proposed solutions involving architecture, implementation, security, risk mitigation, and operational feasibility.
• Contribute examples involving compliance frameworks, regulatory standards, documentation, workflows, and process design.
• Share practical guidance on technical leadership, knowledge transfer, mentoring, and professional upskilling.

This is a remote, part-time contractor opportunity with flexible weekly scheduling. The role is listed as entry level and focuses on established IT knowledge, clear communication, and professional judgment.

• Pay: $60 to $75 per hour.
• Work arrangement:
  Remote contractor role with flexible weekly scheduling.
• Open to candidates in AE, AR, AT, BD, BE, BH,  , CA, CH, CL, CO, DE, DK, DZ, EG, ES, FR, GB, GH, GR, , IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, and ZA.
• Language:
  Fluent English.
• Experience:
  
  At least five years as an IT or Systems Manager leading technical teams or managing enterprise-scale infrastructure.
• Expertise in IT strategy, systems architecture, technology road mapping, vendor management, contract evaluation, and third-party integrations.
• Strong knowledge of security compliance frameworks such as ISO 27001, NIST, or GDPR, plus risk management practices.
• Able to explain complex technical topics clearly in writing and conversation and evaluate documentation, workflows, and processes from a broad IT management perspective.
• Experience mentoring or coaching IT professionals and improving technical team performance is helpful.
• Prior AI training experience is not required.

AI training work uses human examples, ratings, and feedback to help improve artificial intelligence systems. Experienced professionals are paid to apply their subject knowledge, review model outputs, and explain what accurate and useful answers should look like.