Software Engineering / IT Ops SME

An older role: first posted 28d ago, and Turing still listed it when we checked today. Newer roles tend to fill faster. See the jobs hiring now.

What the work is

Role Overview

We are seeking an AI Training Specialist (IT Ops & Software Management) to set domain quality benchmarks and build reference logic for technical-focused AI applications. In this role, you will convert complex 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 to ensure AI-generated ticket workflows, triage logic, and IT operations reports align with professional industry standards.

Who gets hired

• Core Experience: 3+ years in software engineering, IT operations, or technical support management.
• Domain Expertise: Hands-on familiarity with issue trackers, ITSM helpdesks, SLA policies, escalation paths, and asset lifecycle management.

• Logic & Technical Translation: Strong, concise professional writing with a proven ability to translate triage workflows, SLA timers, and incident rules into deterministic spreadsheet formulas and parameters.
• Availability & Commitment: Talent must have weekend on-call availability (part-time engagement is acceptable).

• Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection in a remote setup.

Responsibilities

• Domain Guidance & Guardrail Authoring: Define operational discovery parameters and technical guardrails for AI tools handling IT ticketing, incident management, and software support workflows.
• Golden Asset Construction: Build and verify reference IT dashboards, SLA tracking sheets, asset lifecycle rollups, and triage escalation logic in Google Sheets or Excel.

• Workflow & Dataset Co-Design: Design realistic IT service scenarios and validate domain context files, including system incident logs, post-mortems, and support playbooks.
• AI Quality Audit & Sign-Off: Review, score, and refine AI-generated technical outputs to ensure complete alignment with professional software engineering and ITIL practices.

Education & Experience

• Bachelor's degree or equivalent practical experience in any field.
• Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details

• Commitments Required: 40 hours per week with 8 hours of overlap with PST.
• Engagement type: Contractor

• Engagement Length: upto 2 weeks
• Availability: Talent must have weekend on-call availability (part-time engagement is acceptable).

Evaluation Process -

• Shortlisted candidates will be sent a Job Interest Form.
• Finalized talents will go through delivery review & proceeded further accordingly.

Pay

See listing, fully remote. How payouts and tax work.