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Get A Job.ai Fellows Program, AI Safety & Security

  • Company: Get A Job.ai
  • Location: Anywhere in the World
  • Salary: Pay not listed
  • Work type: Remote

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential AI research organization in their search for talented individuals to join a structured fellowship program focused on AI safety and security research. This is a unique 4-month, full-time opportunity to conduct empirical research under direct mentorship from leading researchers in the field.

Our client runs multiple cohorts throughout the year and reviews applications on a rolling basis. In previous cohorts, over 80% of fellows produced publishable papers, and 25-50% received full-time offers from our client or successfully transitioned to impactful roles at other leading organizations.

Program Structure & Responsibilities

During this 4-month fellowship, you will:

  • Work full-time on an empirical research project aligned with AI safety or security priorities
  • Primarily use external infrastructure such as open-source models and public APIs
  • Produce a public output such as a paper submission or open-source contribution
  • Receive direct one-on-one mentorship from experienced researchers
  • Access shared workspace facilities in Berkeley, California or London, UK
  • Connect with the broader AI safety and security research community
  • Participate in weekly research discussions and collaborative sessions

Research Focus Areas may include:

  • Scalable Oversight: techniques to keep highly capable models helpful and honest
  • Adversarial Robustness and AI Control: ensuring advanced AI systems remain safe in unfamiliar scenarios
  • Model Organisms: creating experimental systems to study potential alignment failures
  • Mechanistic Interpretability: understanding internal workings of large language models
  • AI Security: penetration testing, vulnerability research, and offensive security applications
  • AI Welfare: developing evaluations and mitigations for potential welfare considerations

What We're Looking For

Essential Requirements:

  • Fluency in Python programming
  • Strong technical background in computer science, mathematics, physics, or related field
  • Bachelor's degree or equivalent combination of education and experience
  • Available to work full-time (40 hours per week) for 4 months
  • Work authorization in the US, UK, or Canada (visa sponsorship not available)
  • Located in the US, UK, or Canada during the program
  • Motivated by making AI safe and beneficial for society
  • Ability to implement ideas quickly and communicate clearly
  • Thrive in fast-paced, collaborative environments

Particularly Strong Candidates May Have:

  • Experience with empirical machine learning research projects
  • Experience working with large language models
  • Track record of open-source contributions, especially in LLM or security repositories
  • Experience with deep learning frameworks and experiment management
  • Background in penetration testing, vulnerability research, or offensive security work
  • Reported CVEs or been awarded bug bounties
  • Demonstrated success bringing clarity to ambiguous technical problems
  • Interest in transitioning to full-time AI research roles

We strongly encourage applications from candidates who may not meet every qualification listed. Research shows that underrepresented groups are more likely to experience imposter syndrome—we urge you not to exclude yourself prematurely if this work interests you.

How We Work With You

When you apply through Get A Job.ai:

  • Our talent team will review your application and conduct an initial screening
  • We'll submit qualified candidates to our client for consideration
  • The client's interview process includes technical assessments, interviews, and research discussions
  • Applications and interviews are managed through our client's recruiting partner, Constellation
  • Please do not contact our client directly—all communication flows through Get A Job.ai

Important Notes:

  • Applications are reviewed on a rolling basis across multiple annual cohorts
  • You'll indicate workstream preferences during application (AI Safety, AI Security, ML Systems, Reinforcement Learning, or Economics & Policy)
  • If you cannot commit to the full 4-month duration, still apply and note your constraints—requests are reviewed case-by-case
  • Remote work available in US, UK, or Canada; shared workspaces in Berkeley and London

Pay

This fellowship provides a weekly stipend of:

  • 3,850 USD per week (US-based fellows)
  • 2,310 GBP per week (UK-based fellows)
  • 4,300 CAD per week (Canada-based fellows)

Additional benefits include:

  • Funding for compute resources (~$15,000 per month)
  • Coverage for other research expenses
  • Benefits that vary by country
  • Expectation of 40 hours per week for 4 months (with possible extension)

Equal Opportunity: Get A Job.ai is committed to providing equal employment opportunities to all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We value diverse perspectives and encourage applications from candidates of all backgrounds.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

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Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Working in Anywhere in the World

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    Listing facts

    • Role Get A Job.ai Fellows Program, AI Safety & Security
    • Employer Get A Job.ai
    • Location Anywhere in the World · Remote-friendly
    • Type Full Time
    • Pay (from listing) Pay not listed
    • Posted September 16, 2026
    • Apply by October 16, 2026
    • Country WORLDWIDE
    • Overview Full job description on this page (666 words)

    Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

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