Remote AI Training Postdoc — Advanced Research Fellow

Alignerr Corp.; Sydney; Remote; AUD 14.000 - 55.000; Teilzeit

Zusammenfassung

Alignerr is seeking a General Postdoctoral Researcher (AI Training) to apply advanced research in training frontier AI models. This fully remote hourly contract requires 10–40 hours/week and a Master’s or PhD in a STEM field.

You will design and solve multidisciplinary problems, review results, and collaborate asynchronously with AI researchers to improve model reasoning capabilities while maintaining academic rigor.

Qualifikationen

• Holds a Master's or PhD in a STEM or highly technical field from a top-tier university.
• Has a strong track record of research, publications, or complex technical project management.
• Exceptional written and verbal communicator with meticulous attention to detail.
• Fluent in English and currently based in the U.S., Canada, New Zealand, U.K., or Australia.
• Comfortable working independently and asynchronously in a remote environment.

Aufgaben

• Design, solve, and critically review advanced, multi-disciplinary problems with real-world relevance across academic and professional domains.
• Apply your research expertise to construct complex problem statements that challenge and meaningfully improve AI reasoning capabilities.
• Collaborate asynchronously with AI researchers and domain experts to enhance model performance and output quality.
• Ensure academic rigor, precision, and intellectual depth across all deliverables.
• Contribute to projects that directly influence how frontier AI systems understand and engage with complex knowledge.

Kenntnisse

Research skills

Publications

Written communication

English fluency

Ausbildung

Master's or PhD in STEM

Tools

Python

R

Jobbeschreibung

Alignerr is seeking a General Postdoctoral Researcher (AI Training) to apply advanced research in training frontier AI models. This fully remote hourly contract requires 10–40 hours/week and a Master’s or PhD in a STEM field.

You will design and solve multidisciplinary problems, review results, and collaborate asynchronously with AI researchers to improve model reasoning capabilities while maintaining academic rigor.