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Open nowPosted 63 days ago

AI Talent Pool

Workable (global search)108,016 open roles

Where
Sydney, NSW, Australia
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Your applicationOpen nowAI Talent PoolWorkable (global search) · Sydney, NSW, Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 63 days ago

Workable (global search) median: 7 days open

The posting

NOTE: This position is being advertised to build our AI talent pool. By applying, you register your interest to be matched with current and upcoming client/project opportunities.

About the Role: We’re building a pool of AI professionals who can do more than advise and build – we want both. This is for individuals who combine the strategy and client-facing thinking of an AI consultant with the hands-on technical capability of an AI expert/engineer.

You’ll be the kind of person who can sit across the table from a business leader, understand what they’re trying to solve and then go build the solution yourself.

What You’ll Do:

  • Work directly with clients/stakeholders to identify where and how AI can solve real business problems
  • Recommend the right AI approach
  • Design/build and deploy AI/ML solutions
  • Integrate AI tools into existing business systems and workflows
  • Evaluate whether deployed solutions are actually working
  • Explain technical concepts clearly to non-technical stakeholders, and translate business goals into technical requirements for more technical teams
  • Manage your own priorities across multiple projects/clients
  • Factor in cost, ethics and bias considerations

Requirements

Essential

  • Proven project experience
  • Strong grounding in Python and core ML concepts
  • Comfortable working with cloud platforms (AWS, GCP, or Azure)
  • Experience with relevant frameworks/libraries (e.g, TensorFlow, PyTorch, LangChain, Pandas, Scikit-learn)
  • Understanding of engineering, model evaluation and data pipelines
  • Strong communication skills – able to talk credibly to both executives and engineers
  • Clear understanding on AI ethics and responsible use

Desirable

  • Industry-specific experience (e.g., healthcare, finance, retail)
  • Experience working as an independent/freelance consultant
  • NLP or deep learning specialisation
  • Familiarity with AI-adjacent productivity tools (e.g., Microsoft 365 Copilot, Notion AI, Zapier) for workflow automation

Benefits

Why join our talent pool:

  • Get early access to AI opportunities across industries, flexible and remote-friendly roles, and competitive packages.
  • We actively engage with our pool as new roles arise, so joining now means you will be front of mind when the right opportunity opens.

Express your interest today and one of our talent specialists will be in touch.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

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