Platform Support AI Trainer

Overview

Remote

$30 - $40

Contract - W2

Contract - 1 Year(s)

Skills

API Management

Artificial Intelligence

Communication

Data Governance

DevOps

Engineering Support

Issue Resolution

Machine Learning (ML)

Microsoft Azure

Onboarding

Organizational Skills

Problem Solving

Prompt Engineering

Job Details

Job Title: Platform Support AI Trainer
Location: Hybrid (Columbia, SC) or Fully Remote (U.S. only)
Department: Platform Engineering
Reporting To: Director of Platform Engineering
Type:Contract

About the Role

Are you excited about the intersection of AI and platform engineering? Want to play a key role in building smart, self-learning systems that make engineers lives easier?

We re looking for a Platform Support AI Trainer to join our Platform Engineering team. You ll help train and shape our internal AI assistant aka Copilot so it can provide accurate, helpful answers to our engineers working with tools like OutSystems, AutoRABIT, and Azure API Management (APIM).

This is a hands-on, high-impact role where your work will directly improve day-to-day support, onboarding, and issue resolution across the team.

Key Responsibilities:

Organizing and feeding internal knowledge (docs, tickets, SOPs) into the AI system
Working with platform experts to verify and fine-tune Copilot s responses
Creating smart prompt templates for common engineering tasks
Monitoring how Copilot performs and helping it get better over time
Keeping things clean and compliant with data governance and security standards
Making the AI assistant a go-to teammate for everyone in Platform Engineering

We re Looking For

3+ years in DevOps, platform engineering, or technical documentation
Familiarity with tools like OutSystems, AutoRABIT, Azure APIM, or similar platforms
Bonus: experience with AI/ML tools, prompt engineering, or knowledge management
Strong skills in communication, organization, and technical writing
Someone who enjoys solving problems and improving processes through automation

Our AI Rollout Plan (What You'll Be Part Of)

Phase 1: Get started audit docs, set up tagging, and secure access
Phase 2: Feed the AI train Copilot with internal and vendor knowledge
Phase 3: Pilot test with real engineers, get feedback
Phase 4: Optimize tune the AI, add feedback loops
Phase 5: Keep it fresh monthly updates, quarterly reviews, yearly retraining

Think you re the right fit? We d love to hear from you! Come join us in shaping the future of AI-powered engineering support.

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