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micro18D AGO

Computer Systems Analyst

micro1 / Computer Systems Analyst

RATE

$60 - $120/HR

LOCATION

REMOTE (GLOBAL)

DESCRIPTION

Role Title: Computer Systems Analyst Role Type: Contractor Location: Remote (US based) micro1 is engaging Computer Systems Analysts to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze complex computer systems and business processes to identify areas for improvement and innovation within customer projects. • Gather, document, and validate requirements from diverse stakeholders, ensuring clarity and alignment with project objectives. • Develop detailed business process models using industry-standard methodologies to drive system enhancements. • Utilize SQL to extract, analyze, and interpret data for process optimization and issue resolution. • Diagnose and troubleshoot technical challenges, proposing actionable solutions to support ongoing platform development. • Collaborate virtually with project managers, developers, and other professionals to ensure deliverable quality and alignment with customer needs. • Contribute domain expertise to support the design and validation of AI training data and scenarios. Preferred

REQUIREMENTS

  • At least 5 years of experience as a Computer Systems Analyst or in a closely related technical consulting capacity.
  • Expertise in systems analysis, requirements elicitation, and business process modeling (e.g., BPMN, UML).
  • Advanced proficiency with SQL for data analysis, reporting, and troubleshooting.
  • Proven ability to translate complex business requirements into technical specifications and actionable insights.
  • Demonstrated success in virtual collaboration on remote projects.
  • Strong problem-solving skills and a detail-oriented approach to delivering high-quality outputs.
  • Experience contributing to technology-driven transformation or supporting AI-related initiatives is a plus.

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