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Remote Ai Training For Physics Jobs (NOW HIRING)

YO IT Consulting

Physics QA Lead - Remote

YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of ... They are seeking a Physics Quality Assurance Lead to oversee quality and consistency in AI training ...

Mercor

Physics Researcher - AI Systems

New York, NY · On-site +1

$125 - $225/hr

Remote Commitment: 4-16 hours/week Role Responsibilities * Author and review challenging physics ... Doctoral or postdoctoral training at a top-20 global institution for physics or STEM. * Competitive ...

Weekday AI

Physics AI Specialist

$80/hr

This role is for one of our clients Compensation: $80 per hour We are seeking highly qualified ... Collaborate in a remote, asynchronous environment Who You Are * PhD in Physics from a university in ...

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 ... remote work that will have a significant impact on the development of advanced AI models Async work ...

Global Channel Management

Remote AI Architect

$64.50 - $85/hr

About the job Remote AI Architect Remote AI Architect needs 10+ years' experience enterprise-wide ... Support development teams on model selection, training pipelines, prompt engineering, fine tuning ...

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Remote Ai Training For Physics information

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$39K

$46.9K

$52.5K

How much do remote ai training for physics jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote ai training for physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Training For Physics vs Remote Ai Training For Computer Vision?

AspectRemote Ai Training For PhysicsRemote Ai Training For Computer Vision
Required CredentialsPhysics degree, AI/machine learning knowledgeComputer science degree, AI/machine learning skills
Work EnvironmentRemote, research-focused, data annotationRemote, image/video data annotation, model training
Employer & Industry UsageResearch institutions, tech companies in scientific fieldsTech companies, startups, industries like automotive, security
Common Search & Comparison IntentUnderstanding roles in physics-focused AI trainingUnderstanding roles in computer vision AI training

Remote Ai Training For Physics involves training AI models on physics data, often requiring a background in physics and data annotation. In contrast, Remote Ai Training For Computer Vision focuses on image and video data annotation for visual AI applications. Both roles are remote, but they serve different industry needs and require distinct domain expertise.

What are the key skills and qualifications needed to thrive as a Remote AI Trainer for Physics, and why are they important?

To thrive as a Remote AI Trainer for Physics, you need a strong background in physics and mathematics, often demonstrated by a relevant degree, as well as experience in data annotation or education. Familiarity with AI training platforms, learning management systems, and basic coding or data labeling tools is typically required. Strong attention to detail, clear written communication, and the ability to explain complex concepts simply are valuable soft skills in this role. These skills ensure the accuracy and quality of AI training data, which is crucial for developing reliable and effective AI models in the physics domain.

What are some typical challenges faced when working remotely as an AI Trainer for Physics, and how can they be addressed?

One common challenge in remote AI Training for Physics is communicating complex scientific concepts clearly to team members who may have varying backgrounds in physics or artificial intelligence. Collaboration relies heavily on digital tools, so establishing clear documentation and frequent check-ins are essential. Additionally, ensuring data quality and accuracy in training datasets can be more difficult without in-person oversight, making robust review processes and transparent workflows crucial. Proactively engaging with the team through virtual meetings and shared platforms helps maintain alignment and project momentum.

What is a Remote AI Training Specialist for Physics?

A Remote AI Training Specialist for Physics is a professional who works from a remote location to help train artificial intelligence (AI) models in the field of physics. This typically involves tasks such as labeling data, verifying outputs, and providing expert feedback to ensure that AI systems accurately understand and process physics-related information. These specialists often have a background in physics and use their expertise to improve the performance and reliability of AI models used for scientific research, education, or technology development.
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Remote Ai Training For Physics jobs near you

Physics QA Lead - Remote

YO IT Consulting

Remote

Full-time

Posted 3 days ago

Job description

Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Physics Quality Assurance Lead to oversee quality and consistency in AI training projects, evaluating physics content and providing feedback to ensure accuracy and adherence to standards.
Responsibilities:
• Spot-check physics items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
• Review AI-generated physics explanations, calculations, diagrams, derivations, experimental interpretations, and step-by-step reasoning.
• Update trainers/QAs on Discord about guidelines, workflow updates, and physics-specific quality expectations.
• Respond to questions around physical assumptions, formulas, units, derivations, diagrams, experimental setups, and rubric interpretation.
• DM inactive contributors, encourage activation, track follow-ups, and flag availability issues.
• Create and maintain physics documentation, style guides, trackers, FAQs, examples, honeypots, and onboarding materials.
• Run onboarding/training calls for physics contributors.
• Flag misleading, numerically incorrect, physically impossible, unsafe, or poorly contextualized physics claims.
• Identify recurring quality gaps and improve physics QA workflows.
Qualifications:
Required:
• Bachelor’s, Master’s, or PhD degree in Physics, Applied Physics, Engineering Physics, Astrophysics, Mathematics, Engineering, or a closely related quantitative/scientific field
• Strong grasp of the English language to follow guidelines, communicate with teams, and provide clear technical feedback
• 3+ years of experience in physics research, teaching, tutoring, laboratory work, science writing, academic review, engineering analysis, or related scientific workflows
• Strong understanding of classical mechanics, electromagnetism, waves, optics, thermodynamics, statistical mechanics, quantum mechanics, relativity, units, dimensional analysis, and mathematical modeling
• Ability to evaluate physics content against rubrics and identify issues such as incorrect assumptions, wrong formulas, unit errors, flawed reasoning, sign convention mistakes, physically impossible claims, or misleading explanations
• Comfortable with Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems
• Highly organized and able to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and documentation
Preferred:
• Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods
• Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric-based review
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.

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