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Surge AI Research Fellowship 2026 — Paid Research Role for PhD-Level Experts in AI Safety & Evaluation

  • Writer: Omran Aburayya
    Omran Aburayya
  • 4 hours ago
  • 3 min read

If you're a PhD-level researcher or expert in STEM fields passionate about rigorously improving the next generation of AI systems, the Surge AI Research Fellowship 2026 is a high-impact opportunity. Surge AI invites scholars and practitioners to join a pioneering research initiative aimed at probing the limits of current AI models, strengthening safety, evaluation, and scholarly capabilities — all with the ambition of raising artificial general intelligence (AGI) that mirrors the richness of human intelligence.


🎓 Fellowship Summary

  • Host: Surge AI (SurgeHQ)

  • Type: Research Fellowship

  • Target Group: PhD-level researchers, domain experts in STEM disciplines, or equivalent practitioners

  • Focus Areas: Model evaluation, fault/failure mode identification, benchmark design, AI safety and robustness

  • Compensation: Hourly pay (not a full-time salaried role) — flexible work schedule, non-exclusive commitment

  • Commitment: Fellows set their own hours; the role complements existing academic or professional work


✨ What to Expect as a Fellow

Responsibilities:

  • Critically assess current AI model behavior, identify limitations, and design evaluation challenges.

  • Collaborate with Surge AI leadership to propose improvements, refine evaluation methodologies, and build robust strategies.

  • Create rigorous benchmarks or red-teaming tasks to stress-test frontier AI models.

Working Style:

  • Maintain flexibility: the fellowship is designed to complement other academic or professional work, not displace it.

  • Work remotely, on your own schedule, with no requirement for exclusivity.

  • Receive compensation for your time (hourly rate), acknowledging the value of high-quality research input.


ℹ️ Why Join Surge AI

  • Work with world-class talent: You’ll join a team of researchers and experts from leading institutions (Harvard, MIT, Cambridge, Columbia, etc.) deeply invested in AI safety, evaluation, and academic rigor.

  • High-impact projects: Fellows gain access to exclusive research initiatives, helping to shape how models are evaluated and aligned.

  • Autonomy & flexibility: Set your own hours, work in parallel with your current commitments, and contribute meaningfully without giving up your primary role.

  • Collaborative leadership: Your feedback is not just welcomed — it's essential. Surge’s leadership aims to co-develop research strategies with Fellows.

  • Ethical & rigorous mission: The fellowship aligns with Surge’s vision of building AGI that is both safe and knowledgeable, grounded in deep human insight and scholarly excellence.


✅ Eligibility & Ideal Profile

  • PhD-level scholars or individuals with equivalent research experience in STEM — mathematics, physics, computer science, engineering, etc.

  • Strong background in research, evaluation, or AI development.

  • Experience or interest in AI safety, failure mode analysis, red-teaming, or benchmark design.

  • Ability to communicate clearly: you should be able to design tests, write proposals, and collaborate with other researchers.

  • Highly motivated by a mission-driven environment: Surge is building toward AGI that doesn’t just scale, but deeply reasons.


📝 Application Process

  1. Prepare your materials: Update your CV, and gather relevant work samples — research papers, project write-ups, code, evaluation design, etc.

  2. Email your application: Send your CV and work samples to researchfellows@surgehq.ai.

  3. Selection: Surge reviews applications for fit, expertise, and potential contribution. If selected, you'll be onboarded for an initial collaboration.

  4. Start collaborating: Once accepted, you’ll begin collaborating on specific projects, evaluations, or research challenges, working with Surge’s leadership to define your role and deliverables.


👌🏻 Tips for Applicants

  • Tailor your CV and samples to highlight research rigor, evaluation, or safety-relevant projects.

  • Show impact: If you have designed benchmarks or evaluative studies before, detail them — Surge cares deeply about evaluation.

  • Be mission-aligned: In your email or sample work, reflect on why AI safety, quality evaluation, and academic rigor matter to you.

  • Maintain flexibility: Demonstrate how you can contribute on an hourly basis without fully pivoting from your existing work.

  • Reach out with questions: If anything is unclear — scope, pay, or structure — contact Surge via their fellowship email. They seem to support open, thoughtful collaboration.


🚀 Final Thoughts

The Surge AI Research Fellowship 2026 is a rare and exciting chance to work at the cutting edge of AI evaluation, model safety, and academic rigor — without sacrificing your current professional or academic path. For researchers who care deeply about building trustworthy, high-quality AI systems, this fellowship is not just a job — it’s a chance to shape the future of intelligence.




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