In-Demand Ai training specialist Jobs in Melbourne, Vic

Australia AI Adoption Specialist
Tomoro —Melbourne VIC
- $120,000 - $180,000 a year
- Full-time
- Hybrid work
- AI
- Health insurance
Quick Apply
AI Enablement Specialist
Buddy Advisory —South Yarra VIC
- $100,000 - $120,000 a year
- Hybrid work
- AI
12d
AI Governance Lead
Intelligen Group —Melbourne VIC
- $170,000 - $185,000 a year
- Full-time
- Hybrid work
- Financial services
- AI
- Analytics
- Work from home
- Free food
Quick Apply
10d
AI Engineer
RACV —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- Management
- PMP
- Research
Up Support - Phone Specialist
Up —Melbourne VIC
- $70,000 a year
- Monday to Friday
- Hybrid work
- Customer service
- AI
- Office experience
- Employee assistance program
Learning Specialist
Nandos —Melbourne VIC
- Full-time
- Microsoft Powerpoint
- AI
- Parental leave
Learning Governance & Evaluation Specialist
Australian Red Cross Lifeblood —West Melbourne VIC
- $120,000 a year
- Full-time
- Remote
- Agile
- AI
- Parental leave
- Employee assistance program
4d
Lifecycle Marketing Specialist
Contour Education —Melbourne VIC
- $110,000 - $120,000 a year
- Full-time
- CRM software
- Senior Secondary Certificate of Education
- Education
- Employee assistance program
Quick Apply
Technical Education Specialist
Future Secure AI —Melbourne VIC
- Agile
- AI
- Leadership
Quick Apply
Digital Content Specialist
Red Energy —Richmond VIC
- Full-time
- Hybrid work
- Sales
- AI
- Analytics
- Health insurance
- Parental leave
Quick Apply
9d
Support & Implementation Consultant
Spektrix —Melbourne VIC
- $70,000 - $85,000 a year
- Weekend availability
- Microsoft Excel
- Customer service
- AI
- Annual leave
- Paid sick leave
Quick Apply
Data Scientist
Omnicom Group —Melbourne VIC
- Full-time
- Hybrid work
- Databases
- SQL
- AWS
- Employee assistance program
Customer Support Specialist
Unimarket Pty Ltd —Melbourne VIC
- Full-time
- Hybrid work
- Customer service
- Data analysis skills
- Administrative experience
Quick Apply
10d
Installation Specialist - Power Payments
Pentana Solutions —Melbourne VIC
- Full-time
- Office
- POS
- Communication skills
Advice Operations Specialist
AustralianSuper —Melbourne VIC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- CRM software
13d
Customer Experience Specialist
Xero —Hawthorn VIC
- Full-time
- Hybrid work
- Google Suite
- Salesforce
- Microsoft Office
- Work from home
10d
Brand and Creative Specialist
Kinetic IT —Melbourne VIC
- Full-time
- AI
- Employee assistance program
- Employee discount
Adoption Specialist
Solventum —Melbourne VIC
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
ServiceNow ITOM
Infosys —Melbourne VIC
- $150,742 - $171,215 a year
- Azure
- DevOps
- AWS
- Health insurance
- Parental leave

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Australia AI Adoption Specialist

Tomoro -
Melbourne VIC

Quick Apply

Job Details

Full-time
$120,000 - $180,000 a year

Benefits

Health insurance

Qualifications

MCP
Slack
AI

Full Job Description

About Human ProductivityThe Role

As an AI Adoption Specialist, your job is to help enterprise teams work better with AI by changing how work gets done.

You’ll sit at the intersection of workflow design, AI literacy, and the effective use of state-of-the-art general purpose AI tools. Some weeks you're embedded with a client team, observing how work really happens and redesigning it so AI carries the load. Other weeks you're creating the assets and approaches that make the new way of working stick: prompts, skills, quality checks, lightweight automations/ integrations, and simple tools built collaboratively alongside client teams.

You'll work alongside Tomoro's AI Engineers. They build production-grade AI systems. You make sure the humans around those systems (and the humans who don't yet have those systems) are getting the most out of AI, every day.

Think of the goal as five days of outcomes in three days of effort.

What You'll Be DoingWorkflow Discovery and Redesign

Embed with client teams to understand how work actually happens, not how it's supposed to happen. Follow the time, find the friction, and surface the real bottlenecks rather than the ones on the process diagram.
Redesign workflows around AI: accelerating what's already there, removing the drudgery, and unlocking things that weren't previously possible. Measure impact at the workflow level — cycle time, rework, quality consistency, throughput — and track adoption signals as evidence the change is sticking.
Build momentum through short, focused engagements: co-labs, sprints, 1-to-1 and small group coaching that make progress visible fast.

Creating What Teams Need to Adopt AI

Co-create and ship assets teams actually reuse: prompts, custom instructions, skills, QA checks, evaluation prompts, and playbooks. If it isn't reusable, it isn't finished.
Use AI-assisted development tools (Claude Code, Codex, MCP) as your default for building small automations and integrations that remove friction, inside the platforms teams already use: ChatGPT, Adobe, Slack, Microsoft Teams. Connect tools and data sources so teams stop copy-pasting and start flowing.
Build to reflect how the client actually operates: their tone, constraints, risk posture, and governance expectations. Know the ceiling too. When off-the-shelf tools run out of road on reliability, integration, or scale, help shape the next step with Tomoro's AI Engineering team.

Coaching and Sustaining Capability

Move people from "I should use AI" to "AI is my default first step" by working and building alongside them, not by putting them in a room with slides.
Build trust quickly with people who are sceptical, overwhelmed, or both. The antidote isn't a workshop. It's doing real work together and letting the outcomes speak. Coach prompting and verification without being dogmatic, and build the champions and routines that keep improving after you leave.
Help define the conditions for lasting adoption: new habits, processes, incentives, and ways of working. Where you find people who want to go further, help them grow into AI builders themselves.

Requirements

About You

You don't need to come from one specific background. We're looking for people who combine a few things that rarely sit together.

You might be a freelance AI practitioner who's been helping companies adopt AI tools and wants to do it at scale. You might come from an ops or enablement role inside a product company, where you've seen first-hand how hard it is to change how people work. You might have an L&D or behavioural change background and have been pulling AI into your practice because it's clearly where the value is. Or you might be a domain expert - someone deep in a specific field who got frustrated with inefficient ways of working and taught yourself to use AI to do your job faster and better, and now you want to help others do the same.

What matters more than your title is how you work.

These things are the most important attributes for you to be successful.

Being AI-native

You default to AI. Not because it’s novel, but because it helps you get things done. You iterate fast, verify intelligently, and use AI throughout your everyday work.

What good looks like:

You can go from messy input to a reusable asset quickly.
You know when AI is helping versus confidently making things up.
You naturally build simple feedback loops - checks, reviews, sampling - into workflows.

Focus on use and adoption

You care about whether something is useful and whether it will actually be adopted.

What good looks like:

You design workflows that reduce cognitive load, not increase it.
Assets and solutions you create are easy to reuse, easy to adapt, and hard to misuse.
You can explain why the workflow is designed the way it is.

Coaching and behaviour change

You can help people build capability without turning it into training theatre.

What good looks like:

Teams become more confident because they're doing real work with AI, not watching slides or unrelated demos.
You can coach prompting, review habits, and verification without sounding dogmatic.
You build champions and routines that keep improving after you leave.

AI Tooling Literacy

You love exploring AI tools and their application. You know what's available and how to apply it to real work constraints.

What good looks like:

You can pick the right tool, model, or pattern for the task and explain why.
You notice when the landscape meaningfully shifts and translate that into practical options.
You can explain technical concepts to non-technical clients without dumbing them down.

Autonomy and Resourcefulness

You work things out. You don't wait for permission or perfect information.

What good looks like:

You can research a workflow within a new domain quickly and demonstrate opportunities for AI.
You naturally test, learn, and adapt.
When something doesn't work, you try another approach without drama.

Benefits

Generous holiday entitlement

Private medical insurance
Wellness plan
Life Policy
Employee Assistance Programme
Pension
Access to global exclusive discount & savings platforms
And more!

Quick Apply

Refine Your Search

ai training specialist jobs in melbourne, vic

Australia AI Adoption Specialist

AI Enablement Specialist

AI Governance Lead

AI Engineer

Senior Customer Success Specialist - Gen AI, Customer Success Center of Excellence

Up Support - Phone Specialist

Learning Specialist

Learning Governance & Evaluation Specialist

Lifecycle Marketing Specialist

Technical Education Specialist

Digital Content Specialist

Support & Implementation Consultant

Data Scientist

Customer Support Specialist

Installation Specialist - Power Payments

Advice Operations Specialist

Customer Experience Specialist

Brand and Creative Specialist

Adoption Specialist

ServiceNow ITOM

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