Software Engineering / IT Ops SME

Role Overview

We are seeking an AI Training Specialist (IT Ops & Software Management) to set domain-quality benchmarks and build reference logic for technical AI applications. You will convert software-engineering workflows, ITSM frameworks, SLA policies, and asset-management protocols into structured parameters and deterministic spreadsheet models. You will design, evaluate, and refine domain assets so AI-generated ticket workflows, triage logic, and IT-operations reports align with professional industry standards.

Responsibilities

• Define operational discovery parameters and technical guardrails for AI tools handling IT ticketing, incident management, and software-support workflows.
• Build and verify reference IT dashboards, SLA tracking sheets, asset-lifecycle rollups, and triage-escalation logic in Google Sheets or Excel.
• Design realistic IT service scenarios and validate domain context files, including system incident logs, post-mortems, and support playbooks.
• Review, score, and refine AI-generated technical outputs for alignment with professional software-engineering and ITIL practices.

Requirements

• 3+ years in software engineering, IT operations, or technical-support management.
• Hands-on familiarity with issue trackers, ITSM helpdesks, SLA policies, escalation paths, and asset-lifecycle management.
• Strong professional writing and the ability to translate triage workflows, SLA timers, and incident rules into deterministic spreadsheet formulas and parameters.
• Personal desktop or laptop with reliable high-speed internet for remote work.
• Bachelor’s degree or equivalent practical experience.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details

• Contract engagement for up to 2 weeks.
• 6 openings.
• $50/hour for US candidates.
• Up to 40 hours per week, with at least 4 hours of overlap with PST.
• Weekend on-call availability required; part-time engagement is acceptable.
• Start immediately.

Evaluation Process

Shortlisted candidates will receive a Job Interest Form. Finalized talent will proceed through delivery review.

Work Location: Remote