STEM Fellow - Human Frontier Collective (UK)

TL;DR

STEM Fellow - Human Frontier Collective (UK) (Generative AI Research): Designing domain-specific problems and datasets to evaluate advanced generative AI systems, with an accent on expert interpretation, model accuracy, and applied AI research. Focus on creating rigorous evaluations, improving model reasoning, and collaborating on technical reports and research publications.

Location: Fully remote within the United Kingdom; candidates must be authorized to work in their country of residence.

Company

hirify.global develops reliable AI systems, high-quality training data, and full-stack technologies for organizations building and deploying AI applications.

What you will do

• Design complex, domain-specific problems and datasets for rigorous evaluation of generative AI models.
• Provide expert insights to improve model accuracy, reasoning, and overall performance.
• Collaborate with AI labs, platforms, and hirify.global’s research team on high-impact projects.
• Contribute to technical reports and research papers as a co-author.
• Participate in an interdisciplinary community advancing responsible, human-centered AI.

Requirements

• PhD, postdoctoral, or professorial experience in a STEM or related domain, including computer science, machine learning, physics, biology, chemistry, mathematics, or humanities.
• Professional expertise applicable to AI research and evaluation.
• Detail-oriented and innovative approach to complex problems.
• Strong interest in applied AI research and collaborative work.
• Work authorization in the country of residence is required.

Culture & Benefits

• Fully remote independent contractor engagement with an estimated six-month duration and potential extension.
• Flexible schedule with self-managed weeks of 10–40 hours.
• Opportunities to collaborate with leading AI labs and an international network of academics and domain experts.
• Professional development through review projects, advisory work, research, and training.
• Potential to co-author research publications and strengthen academic visibility.

Hiring process

• Applications are reviewed on a rolling basis.
• Selected candidates complete a brief challenge reflecting fellowship work and domain expertise.
• Interview covering research experience, professional background, and alignment with human-centered AI.