AI Code Reviewer & Task Designer – Remote in Melbourne

AI Code Reviewer & Task Designer – Remote in Melbourne

Melbourne Full-Time 90000 - 110000 $ / year (est.) Remote
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At a Glance

  • Tasks: Review AI-generated code and design real-world engineering challenges.
  • Company: Planet Pharma, a leader in innovative tech solutions.
  • Benefits: Flexible remote work, competitive pay, and opportunities for growth.
  • Other info: Join a dynamic team and make a meaningful impact.
  • Why this job: Shape the future of AI with your expertise and creativity.
  • Qualifications: Experience in software engineering and a knack for problem-solving.

The predicted salary is between 90000 - 110000 $ per year.

Planet Pharma is looking for an experienced software engineer to assess AI-generated code, review bug fixes, refactors, and technical solutions, and help design realistic engineering challenges.

You will create tasks based on real-world scenarios, compare outputs, and develop test cases, evaluation rubrics, and quality standards.

This role supports remote work and requires independence.

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AI Code Reviewer & Task Designer – Remote in Melbourne employer: Planet Pharma

At Planet Pharma, we pride ourselves on being an exceptional employer, particularly for the Nurse Unit Manager - Clinical Trials role located in the vibrant Newcastle / Greater Sydney area. Our commitment to employee growth is evident through our supportive work culture that fosters collaboration and accountability, alongside competitive salaries and comprehensive benefits. With a focus on professional development and a strong emphasis on quality patient care, we offer a unique opportunity to lead a dedicated team in delivering impactful clinical research while enjoying the perks of working in a dynamic and award-winning environment.

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Contact Details:

Planet Pharma Recruitment Team

We think you need these skills to ace AI Code Reviewer & Task Designer – Remote in Melbourne

Software Engineering
AI Code Assessment
Bug Fixing
Code Refactoring
Technical Solutions Design
Task Creation
Real-World Scenario Development