AI Research Scientist – Remote in Melbourne

AI Research Scientist – Remote in Melbourne

Melbourne Freelance 51525 - 62975 $ / year (est.) Remote
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At a Glance

  • Tasks: Evaluate AI-generated research papers for scientific rigor and novelty.
  • Company: Join a leading partner company in the AI research field.
  • Benefits: Fully remote freelance role with flexible hours.
  • Other info: Opportunity to work independently and enhance your research skills.
  • Why this job: Make an impact on cutting-edge AI research and contribute to high-profile conferences.
  • Qualifications: Strong background in ML/AI and experience in scientific evaluation.

The predicted salary is between 51525 - 62975 $ per year.

Partner Company is seeking an AI Research Scientist – Scientific Evaluation (ML/AI) based in Australia for a fully remote, freelance role.

You will evaluate AI-generated research papers for scientific rigor, novelty, and reproducibility, using structured evaluation rubrics and independent judgment.

Responsibilities include assessing methodology, validating results, and contributing evidence-based feedback to high-profile ML/AI conferences.

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AI Research Scientist – Remote in Melbourne employer: Jobgether

Join a forward-thinking company that champions innovation and flexibility, offering a fully remote work environment where you can thrive as a Full Stack Software Engineer - AI-First. With access to cutting-edge AI tools, a merit-based culture, and significant opportunities for professional growth, you'll be empowered to take ownership of your projects while collaborating with a talented team on high-scale products that make a global impact. Enjoy the freedom to work from anywhere in Australia, along with a budget for coworking or sports activities, ensuring a balanced and fulfilling work-life experience.

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Contact Details:

Jobgether Recruitment Team

We think you need these skills to ace AI Research Scientist – Remote in Melbourne

AI Research
Scientific Evaluation
Machine Learning
Artificial Intelligence
Research Methodology
Data Validation
Critical Thinking