Computer Systems Analyst
Summary
Analyzes business processes and systems to improve AI training data and model performance; bridges technical and business needs via SQL, modeling, and stakeholder collaboration.
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 Qualifications
- 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.