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Physics Expert

Careerflow

International Falls, MNRemoteFull-timeNo compensation foundPosted 3mo agoVerified open 5 days ago

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At a glance

Compensation
No compensation found
Location
International Falls, MNRemote
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Careerflow is hiring a Physics Expert. The Physics Expert will create and evaluate advanced Physics problems, develop structured solutions, and collaborate with researchers to enhance AI reasoning and evaluation systems. This role is ideal for candidates with strong academic backgrounds in Physics or Applied Physics who are passionate about research, problem-solving, and AI innovation.

Key focus areas include Design and solve challenging Physics problems to evaluate AI model capabilities, Develop clear, step-by-step solutions with strong scientific reasoning, and Collaborate with LLM researchers to improve evaluation quality.

Successful candidates bring Master's/PhD/Postdoctoral Or Advanced Studies In Physics/Applied Physics/Related Fields, Excellent English Communication Skills, and Ability To Work Independently In Remote Environment. Important skills include Analytical Skills, Research Skills, English Communication, English Comprehension, Work Independently, and QuTiP.

Skills & qualifications

RequiredNice to have

Skills

Analytical SkillsResearch SkillsEnglish CommunicationEnglish ComprehensionWork IndependentlyQuTiPOQuPyQuSpinTenPyStrawberry FieldsopenEMSNgspiceQuantum ESPRESSOOpenFOAMFEniCS/FEniCSx (DOLFINx)WarpXREBOUNDPYTHIAKwantElmer FEMGF180MCU PDKSky130 PDKFreeCADProject ChronoScilab XcosVolareEmceeIcarus VerilogGTKWaveVerilatorGmshPyarmadilloMeshLab

Qualifications

Master’s Degree in Physics or Applied Physics or Related FieldsPh.D. In Physics or Applied Physics or Related FieldsCurrently Pursuing Advanced Studies in Physics or Applied Physics or Related FieldsReliable Desktop/LaptopInternet ConnectionAvailability 40 Hours/WeekAt Least 4 Hours Overlap With PSTLinkedIn Profile Included in Resume

Full job description

In this role, you will create and evaluate advanced Physics problems, develop structured solutions, and collaborate with researchers to enhance AI reasoning and evaluation systems.

This opportunity is ideal for candidates with strong academic backgrounds in Physics or Applied Physics who are passionate about research, problem-solving, and AI innovation.

Responsibilities

  • Design and solve challenging Physics problems to evaluate AI model capabilities

  • Develop clear, step-by-step solutions with strong scientific reasoning

  • Collaborate with LLM researchers to improve evaluation quality

  • Help create Physics evaluation benchmarks spanning undergraduate to PhD-level topics

  • Analyze areas where AI models struggle, including abstraction and symbolic reasoning

  • Provide detailed annotations and constructive feedback

Required Qualifications

  • Master’s degree, Ph.D., Postdoctoral degree, or currently pursuing advanced studies in:

  • Physics

  • Applied Physics

  • Related fields

  • Strong analytical and research skills

  • Excellent English communication and comprehension skills

  • Ability to work independently in a remote environment

  • Reliable desktop/laptop and internet connection

  • Availability for 40 hours/week with at least 4 hours overlap with PST

Technical Requirements Candidates should be proficient in at least three of the following tools:

QuTiP, OQuPy, QuSpin, TenPy, Strawberry Fields, openEMS, ngspice, Quantum ESPRESSO, OpenFOAM, FEniCS/FEniCSx (DOLFINx), WarpX, REBOUND, PYTHIA, Kwant, Elmer FEM, GF180MCU PDK, Sky130 PDK, FreeCAD, Project Chrono, Scilab Xcos, volare, emcee, Icarus Verilog, GTKWave, Verilator, gmsh, Elmer, pyarmadillo, and MeshLab.

Additional Notes

  • LinkedIn profile must be included in the resume

  • Candidates will undergo background verification after onboarding

  • Work allocation begins only after successful verification

  • This is a freelance/contractor engagement with no medical or paid leave benefits

Perks

  • Fully remote work environment

  • Opportunity to work on cutting-edge AI projects

  • Collaborate with leading LLM research teams

  • Potential contract extension based on performance and project requirements

You've read the whole posting — now see how you match it.