Red Cell PartnersHiring

Member of Technical Staff, AI Researcher

  • Remote, United States
  • Full-time
  • Senior
  • Posted 7 days ago
In one line

Research and engineering role at a new startup building tools that help regulated organisations measure and improve their own AI systems.

About the role

Teams in healthcare and government need AI they can trust in real workflows, so this role works on the evaluations and feedback loops that make model behaviour measurable.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Employment
Full-time
Skills
Large language models, Reinforcement learning, Supervised fine-tuning, Evaluation frameworks, Reward models, Benchmarks, Multimodal models
Posted
22 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Build benchmarks and evaluation methods for large language models, agents, multimodal models and reinforcement learning settings
  • Create reward models, graders and programmatic verifiers that turn model behaviour into something you can measure
  • Run controlled fine-tuning and reinforcement learning experiments to see how datasets change capability, generalisation and alignment
  • Design ways to collect high-quality human data, from expert task design to annotation methods and quality signals

What they look for

  • Comfortable both chasing an open research question and building the system to test it
  • Care about how data structure, selection, attribution and quality shape what a model does
  • Can design focused experiments and read ambiguous results into technical decisions
  • Move quickly while keeping engineering quality and maintainability

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Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Member of Technical Staff, AI Researcher as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: comfortable both chasing an open research question and building the system to test it; care about how data structure, selection, attribution and quality shape what a model does; can design focused experiments and read ambiguous results into technical decisions. Skills it names include Large language models, Reinforcement learning, Supervised fine-tuning, Evaluation frameworks.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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