Physics Research Collaborator (Part-time)

Weekday AI; United States; Remote; USD 110.000 - 152.000; Teilzeit

Zusammenfassung

Weekday AI invites applications for Physics Research Collaborators to advance AI systems that reason across physics problems. This remote, part-time role offers $80–$110 per hour for up to 20 hours per week, engaging with a leading AI research initiative focused on scientific reasoning.

You will review physics research papers, design problems to train models, assess AI-generated solutions, and provide detailed feedback to improve model performance.

Qualifikationen

• First-author or co-first-author publications in leading journals (PRL, PRX, Nature Physics, etc.).
• PhD or postdoctoral training from a globally recognized institution.
• Recipient of prestigious fellowships or awards (e.g., NSF, Hertz, Sloan, Simons, Gates Cambridge).
• Named inventor on patents or PI on funded grants.
• IPhO medal (Gold/Silver/Bronze).
• Current or recent experience in an active research role (PhD Candidate, Postdoc, Faculty, etc.).

Aufgaben

• Review physics research papers for accuracy, originality, and significance.
• Design and review challenging physics problems for AI model training/evaluation.
• Assess AI-generated solutions: derivations, predictions, simulations, experiments, literature interpretation.
• Identify reasoning gaps that experts would recognize and provide evidence-based feedback.
• Collaborate with researchers to ensure consistency and quality across evaluation tasks.

Kenntnisse

Publications in top journals

PhD or postdoc training

Prestigious fellowships

IPhO medal

PI on funded grants

Active researcher

Ausbildung

PhD in Physics or related STEM

Jobbeschreibung

This role is for one of our clients

Compensation: $80 - $110 per hour

Join a leading AI research initiative developing the next generation of AI systems for scientific reasoning. We are seeking accomplished Physics Research Collaborators to help improve AI models that reason across advanced areas of physics at the level of active researchers—not textbooks.

This role is ideal for researchers with expertise in fields such as theoretical physics, condensed matter physics, quantum information, particle physics, high-energy theory, astrophysics, cosmology, atomic, molecular and optical (AMO) physics, plasma physics, biophysics, statistical and computational physics, or mathematical physics. Your research experience will directly contribute to building AI systems capable of solving complex scientific problems with greater accuracy and rigor.

This is a remote, part-time engagement requiring up to 20 hours per week.

Key Responsibilities

• Review and evaluate physics research papers for scientific accuracy, originality, and significance.
• Design and review challenging physics problems used to train and evaluate advanced AI models.
• Assess AI-generated solutions involving:
  • Analytical derivations
  • Physical mechanism prediction
  • Numerical simulations
  • Experimental design
  • Scientific literature interpretation
• Identify reasoning errors and conceptual gaps that experienced physics researchers would readily recognize.
• Provide detailed, evidence-based written feedback to improve AI model performance.
• Collaborate with fellow researchers and project teams to ensure consistency and quality across evaluation tasks.

Required Qualifications

We're seeking researchers who demonstrate several of the following:

• First-author or co-first-author publications in leading journals such as:
  • Physical Review Letters (PRL)
  • Physical Review X (PRX)
  • Reviews of Modern Physics
  • Nature Physics
  • Nature
  • Science
  • PNAS
  • Nature Communications
  • Physical Review A/B/C/D/E
  • Physics Letters B
  • Journal of High Energy Physics (JHEP)
  • The Astrophysical Journal
  • Monthly Notices of the Royal Astronomical Society (MNRAS)
  • Quantum
  • Communications Physics
• PhD or postdoctoral training from a globally recognized institution in Physics or a related STEM discipline.
• Recipient of prestigious fellowships or research awards such as:
  • NSF Graduate Research Fellowship
  • Hertz Fellowship
  • DOE Computational Science Graduate Fellowship
  • DOE Early Career Award
  • Sloan Research Fellowship
  • Packard Fellowship
  • Simons Investigator or Junior Fellowship
  • Hubble, Einstein, Sagan, or Kavli Fellowship
  • Marie Curie (MSCA)
  • Fulbright
  • Rhodes Scholarship
  • Marshall Scholarship
  • Gates Cambridge Scholarship
  • Schmidt Science Fellowship
  • NSF CAREER Award
  • APS Fellowship
  • Or equivalent internationally recognized awards
• Named inventor on patents, founder of a research spin-out, or Principal Investigator/Co-Investigator on funded research grants.
• Medalist (Gold, Silver, or Bronze) at the International Physics Olympiad (IPhO).
• Current or recent experience in an active research role, including:
  • PhD Candidate
  • Postdoctoral Researcher
  • Faculty Member
  • Instructor
  • Principal Scientist
  • Industry Researcher
• Outstanding senior PhD students and recent graduates with exceptional publication records are strongly encouraged to apply. Demonstrated research excellence is valued more than years of experience.

Engagement Details

• Schedule: Part-time (up to 20 hours per week)
• Work Arrangement: Fully Remote
• Compensation: Competitive and based on research experience, publications, and credentials.
• Duration: Ongoing, subject to project requirements and performance.

Why Join?

• Help shape the future of AI-powered scientific reasoning.
• Apply your research expertise to real-world AI evaluation challenges.
• Collaborate with a network of distinguished researchers across multiple physics disciplines.
• Influence the development of AI systems capable of solving frontier scientific problems.

We welcome applicants from all backgrounds and are committed to providing equal opportunities and reasonable accommodations throughout the recruitment process.

Contract Details

• Independent contractor engagement.
• Fully remote with flexible working hours.
• Project duration may be extended, shortened, or concluded based on project needs and performance.
• Weekly payments for approved work completed.
• Please note that H1-B and STEM OPT sponsorship is not available for this engagement.