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Ai Training For Physics Jobs (NOW HIRING)

Mercor

Physics Researcher - AI Systems

New York, NY · On-site +1

$125 - $225/hr

Doctoral or postdoctoral training at a top-20 global institution for physics or STEM. * Competitive ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

Weekday AI

Physics AI Specialist

$80/hr

This role is for one of our clients Compensation: $80 per hour We are seeking highly qualified Physics PhD professionals to contribute to a cutting-edge AI research initiative involving advanced ...

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

This role for one of Weekday's clients. We are currently helping hire for one of the leading AI ... PhD in Physics from a top tier university Work experience : 2+ years of academic experience ...

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

... for latency, cost, and reliability * Integrate with Physics AI and physics simulation platform : Connect LLM capabilities with Luminary's Physics AI training/evaluation/inference pipelines, physics ...

UniversalAGI

ML Engineer

San Francisco, CA · On-site

We're building foundation AI models for physics that enable end-to-end industrial automation from ... Run training and fine-tuning workflows end-to-end and iterate quickly on performance improvements.

Agap Technologies

Generative AI Training

Atlanta, GA · On-site

Our Training Features: • You will receive top quality instruction that is famous for Online ... AI training. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM ...

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How much do ai training for physics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for ai training for physics in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What is an AI Training for Physics job?

An AI Training for Physics job involves developing, curating, and refining datasets to improve AI models used in physics research and applications. Professionals in this role ensure the accuracy and relevance of data, train machine learning models, and validate their performance in solving physics-related problems. This job often requires a strong background in physics, programming, and AI techniques. It can be applied in areas such as simulations, automated research, and scientific discovery.

What are the typical responsibilities of someone working in AI Training for Physics?

Professionals in AI Training for Physics are responsible for curating and preparing high-quality datasets, designing and implementing machine learning models tailored to physics problems, and validating the performance of these models against experimental data or simulations. They often collaborate closely with physicists, data scientists, and software engineers to ensure accurate scientific representation within AI models. Daily tasks may include cleaning data, labeling or annotating data points, running experiments, troubleshooting model errors, and documenting results for ongoing research and development. This role provides opportunities to drive innovation at the intersection of AI and scientific discovery, and can serve as a pathway to more senior positions in research or AI engineering.

What are the key skills and qualifications needed to thrive in the Ai Training For Physics position, and why are they important?

To excel in an AI Training for Physics role, candidates need a strong background in physics, expertise in machine learning principles, and programming skills, generally supported by an advanced degree in physics, data science, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and data annotation platforms is frequently required, and certifications in AI or data science can be beneficial. Strong analytical thinking, attention to detail, and clear communication are essential soft skills for interpreting complex scientific data and collaborating with multidisciplinary teams. These qualifications are crucial to effectively develop, train, and refine AI models that support physics-based research and applications.

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Ai Training For Physics jobs near you
Infographic showing various Ai Training For Physics job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Physics Researcher - AI Systems

Mercor

New York, NY • On-site, Remote

$125 - $225/hr

Part-time

Posted 17 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Physics Researchers (Part-time)
Type: Contract
Compensation: $125–$225/hour
Location: Remote
Commitment: 4–16 hours/week

Role Responsibilities

  • Author and review challenging physics problems to train and evaluate frontier AI models.
  • Evaluate model outputs on tasks like analytical derivation, mechanism prediction, and numerical modeling.
  • Identify areas where current models fail, especially mistakes a working PhD physicist would catch.
  • Collaborate with a small program team and other senior contributors.

Qualifications

Must-Have

  • First-author or co-first-author publications in journals like Physical Review Letters, Nature, or Science.
  • Doctoral or postdoctoral training at a top-20 global institution for physics or STEM.
  • Competitive fellowships such as NSF GRFP, Hertz, or DOE Computational Science Graduate Fellowship.
  • Issued patents, spin-out companies, or grants as a named PI or co-PI.
  • International Physics Olympiad (IPhO) Gold/Silver/Bronze medalist.
  • Currently or recently in an active research role: PhD candidate, postdoc, instructor, faculty, principal scientist, or industry researcher.

Compensation & Legal

  • W-2 employment with Cincinnatus LLC; payroll, benefits, and compliance handled by Cincinnatus.
  • Compensation reflects research seniority and credentials.
  • No fixed end date; contributors continue as long as the program needs their expertise.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.