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Temporary Ai Training For Physics Jobs (NOW HIRING)

Amat

Physics AI Scientist III

Santa Clara, CA · On-site +1

$142K - $196K/yr

Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate ... Develop scalable data generation, training, validation and deployment workflows for Scientific AI ...

Applied Materials

Physics AI Scientist III

Santa Clara, CA · On-site +1

$142K - $196K/yr

Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate ... Develop scalable data generation, training, validation and deployment workflows for Scientific AI ...

Applied Materials

Physics AI Scientist III

Santa Clara, CA · On-site

$142K - $196K/yr

Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate ... Develop scalable data generation, training, validation and deployment workflows for Scientific AI ...

UniversalAGI

AI Product Engineer

San Francisco, CA · On-site

San Francisco | Work Directly with CEO & founding team | OpenAI for Physics | 5 Days Onsite AI Product Engineer Location: Onsite in San Francisco Compensation: Competitive Salary + Equity Who We Are ...

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 ...

Bechtel

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

In this role, you will be responsible for equipping all Bechtel employees with consistent AI ... The AI Training Manager leads a team of content authors, facilitators, and coordinators and ...

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

As of Sep 8, 2026, the average hourly pay for temporary 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 the difference between Temporary Ai Training For Physics vs Data Scientist?

AspectTemporary Ai Training For PhysicsData Scientist
Required CredentialsPhysics degree, knowledge of AI/ML basicsStatistics, computer science, or related degree
Work EnvironmentResearch labs, AI development teams in tech or academiaBusiness, tech companies, or research institutions
Industry UsageAI model training for physics simulations or researchData analysis, predictive modeling, business insights
Search & Comparison IntentUnderstanding AI training roles in physicsComparing AI training with data analysis roles

Temporary Ai Training For Physics focuses on training AI models specifically for physics applications, often requiring physics knowledge and AI basics. Data Scientists analyze data to generate insights across industries. While both roles involve AI and data skills, Temporary Ai Training For Physics is more research-oriented, whereas Data Scientists work on broader data analysis tasks.

Can I become a temporary AI training for physics with no experience?

Temporary AI training roles for physics typically require a background in physics, computer science, or related fields, along with knowledge of machine learning tools. While some positions may offer on-the-job training, having relevant skills or coursework can improve your chances of qualifying for such roles.
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Temporary Ai Training For Physics jobs near you
Infographic showing various Temporary Ai Training For Physics job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Computational Physics Expert - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $100/hr

Full-time

Posted 14 days ago

Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.