Founding Member, AI Safety Research & Infrastructure

Sampura

Greater London

Hybrid

GBP 100,000 - 290,000

Full time

14 days+

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Benefits offered by this job

Visa sponsorship

Job summary

Sampura Research is an AI safety non-profit focused on scalable oversight for frontier models. As a founding member of Technical Staff, you will own end-to-end research and engineering problems, build high-quality evaluations, and explore methods to improve judge performance through human–AI collaboration.

You will help design and implement evaluation datasets, leaderboards, and infrastructure while collaborating with the founding team.

Qualifications

  • Bachelor's degree or higher in Computer Science, Mathematics, or related field or equivalent experience.
  • Proficiency coding in Python or similar languages, with ML tooling (e.g., JAX, PyTorch, Pandas).
  • Experience with large language models, human-in-the-loop data annotation systems, or AI evaluation frameworks.
  • Willingness to apply AI tools with rigorous human review where needed.
  • Track record in exploring open-ended research questions with rigor in academic or industry labs.

Responsibilities

  • Design and own end-to-end research and engineering problems within Sampura’s agenda.
  • Build diverse, high-quality evaluations for judge protocols from datasets and literature.
  • Develop strategies to improve judge performance through hybridization and human-in-the-loop methods.
  • Create scalable infrastructure and evaluation pipelines and contribute to benchmark releases.

Skills

Python
JAX
PyTorch
Pandas
Strong research mindset
Open-ended problems

Education

Bachelor's degree or higher in Computer Science, Mathematics, or related field

Tools

JAX
PyTorch
Pandas

Job description

Sampura Research is an AI safety non-profit focused on scalable oversight for frontier models. As a founding member of Technical Staff, you will own end-to-end research and engineering problems, build high-quality evaluations, and explore methods to improve judge performance through human–AI collaboration.

You will help design and implement evaluation datasets, leaderboards, and infrastructure while collaborating with the founding team.

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