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Temporary 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 ...

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

AI Engineer Temporary Assignment (through 2/13/2027) Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to support the Department of Veterans Affairs (VA) Office of ...

UniversalAGI

AI Product Engineer

San Francisco, CA · On-site

San Francisco | Work Directly with CEO & founding team | Report to CEO | OpenAI for Physics | 5 Days Onsite AI Product Engineer Location: Onsite in San Francisco Compensation: Competitive Salary ...

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 ...

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Temporary Ai Training For Physics information

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

As of Jul 27, 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.

More about Temporary Ai Training For Physics jobs
What cities are hiring for Temporary Ai Training For Physics jobs? Cities with the most Temporary Ai Training For Physics job openings:
What are the most commonly searched types of Ai Training For Physics jobs? The most popular types of Ai Training For Physics jobs are:
What states have the most Temporary Ai Training For Physics jobs? States with the most job openings for Temporary Ai Training For Physics jobs include:
What job categories do people searching Temporary Ai Training For Physics jobs look for? The top searched job categories for Temporary Ai Training For Physics jobs are:
Temporary Ai Training For Physics jobs near you
Infographic showing various Temporary Ai Training For Physics job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Physics Subject Matter Expert (AI Training)

Weekday AI

Remote

Contractor

Posted 24 days ago

Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Physics Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Physics Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep expertise in physics. In this role, you will evaluate scientific content, develop high-quality technical materials, and help improve AI models through accurate, well-structured, and domain-specific input. Prior experience in AI is not required-your knowledge of physics and scientific reasoning is the key qualification.
Requirements
Key Responsibilities
Scientific Content Review
  • Evaluate and annotate scientific data, equations, and experimental findings across various physics disciplines.
  • Review technical content for scientific accuracy, clarity, completeness, and logical consistency.
  • Provide expert feedback to improve the quality of physics-related content used in AI training.
Content Development
  • Create and review problem sets, technical explanations, research summaries, and analytical write-ups covering both foundational and advanced physics concepts.
  • Develop clear, well-structured documentation that enables AI models to better understand scientific principles and reasoning.
  • Author or edit experimental descriptions and technical reports with precision and attention to detail.
AI Model Evaluation
  • Assess AI-generated responses for technical correctness, logical reasoning, and scientific rigor.
  • Identify inaccuracies, ambiguities, or gaps in AI-generated physics content and provide actionable recommendations for improvement.
  • Contribute to the creation and refinement of high-quality datasets used for AI training and benchmarking.
Collaboration & Continuous Improvement
  • Work collaboratively with project managers and subject matter experts in a remote environment.
  • Identify opportunities to improve data quality, content coverage, and evaluation methodologies.
  • Ensure timely delivery of high-quality work aligned with project milestones and quality standards.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Physics or a closely related field.
  • Strong understanding of Classical Mechanics, Electromagnetism, Thermodynamics, Quantum Mechanics, Modern Physics, and related concepts.
  • Experience writing research papers, technical reports, experimental documentation, or scientific publications.
  • Excellent analytical, problem-solving, and critical thinking abilities.
  • Strong written and verbal communication skills with the ability to explain complex scientific concepts clearly.
  • Ability to work independently and effectively in a remote, collaborative environment.
Preferred Qualifications
  • Experience with data analysis, computational physics, experimental design, or scientific modeling.
  • Ability to communicate complex physics concepts to both technical and non-technical audiences.
  • Experience reviewing scientific literature, technical documentation, or research publications.
  • Familiarity with collaborative research environments and remote project execution.
  • Passion for scientific research, education, and advancing AI through domain expertise.
Must-Have Skills
  • Physics
  • Scientific Research
  • Technical Writing
  • Data Analysis
  • Problem Solving
Good-to-Have Skills
  • Computational Physics
  • Experimental Design
  • Research Publications
  • Scientific Documentation
  • Mathematical Modeling
  • Analytical Thinking
  • Technical Review
  • Remote Collaboration

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