Physics QA Lead - Remote
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
About the Role
We are hiring a Physics Quality Assurance Lead for a remote contract role to oversee quality and trainer performance on physics AI training projects. Responsibilities include reviewing AI-generated physics content, providing feedback, and maintaining documentation.
Key Skills for This Role
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
Requirements
- 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
- Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods is preferred
- Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs is strongly preferred
- 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
- Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric based review is a strong plus
Full Job Posting
About This Role
- In this hourly, remote contractor role, you will work as a Physics Quality Assurance Lead to oversee quality, consistency, and trainer performance across physics AI training projects.
- You will review AI generated physics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards.
- You will assess work for scientific accuracy, physical reasoning, calculation correctness, unit consistency, formula use, conceptual clarity, experimental understanding, formatting, instruction following, and adherence to project specific rubrics.
- You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently.
- This role is a fast growing AI Data Services company delivering training data for many of the world’s largest AI companies and foundation model labs.
- Your physics quality leadership will directly help improve the world’s premier AI models by ensuring that physics training data is accurate, physically sound, clearly explained, well documented, and aligned with client expectations.
- Selection process involves an AI interview, a domain specific task, and an interview with a recruiter.
- Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise.
- This will also provide you with access to future projects available through our expert network.
Your Profile
- 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.
- Familiarity with tools or methods such as Python, MATLAB, Mathematica, LaTeX, laboratory methods, data analysis, simulations, scientific visualization, and numerical methods is preferred.
- Experience leading or supporting remote teams of educators, reviewers, researchers, annotators, science writers, or QAs is strongly preferred.
- 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.
- Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, or rubric based review is a strong plus.
Key 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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at YO IT Consulting
Ubuntu User - Remote
Dubai, UAE
YO IT Consulting is looking for a remote Ubuntu User to support AI data training projects on an hourly paid contract basis. The role involves installing apps and recording actions on an Ubuntu/Linux computer. Ideal for t
Ubuntu User - Remote
Abu Dhabi, UAE
Work remotely on an hourly paid basis to support AI data training projects. Install apps and record actions on your own Ubuntu/Linux computer. Ideal for tech-savvy, detail-oriented individuals including students and juni
AI Trainer & Evaluator - Remote
Jeddah, KSA
In this contract role, you will apply your expertise to help train next-generation AI systems by evaluating and scoring AI-generated responses, annotating data sets, and providing feedback. Requires strong attention to d
Python QA Lead - Remote
Riyadh, KSA
We are seeking a Python Quality Assurance Lead to oversee quality and trainer performance across Python AI training projects in a remote contract role. You will review AI-generated Python code, provide feedback, and ensu
Python QA Lead - Remote
Abu Dhabi, UAE
This remote contract role is for a Python QA Lead to oversee quality and trainer performance on AI training projects. Responsibilities include reviewing AI-generated Python code, providing feedback, and maintaining docum
AI Engineer - Remote
Abu Dhabi, UAE
YO IT Consulting is hiring an AI Engineer to design, build, and optimize machine learning models for production. The role involves implementing ML pipelines, leveraging AWS and Kubernetes, and collaborating with cross-fu
AI Engineer - Remote
Riyadh, KSA
YO IT Consulting is seeking an AI Engineer to design, build, and optimize machine learning models for production environments. The role involves implementing end-to-end ML pipelines, leveraging AWS and Kubernetes, and co
Python QA Lead - Remote
Jeddah, KSA
YO IT Consulting is seeking a Python Quality Assurance Lead for a remote contract role. You will oversee quality and trainer performance across Python AI training projects, review AI-generated Python code, provide feedba
Ubuntu User - Remote
Dubai, UAE
Ubuntu User - Remote
Abu Dhabi, UAE
AI Trainer & Evaluator - Remote
Jeddah, KSA
Python QA Lead - Remote
Riyadh, KSA
Python QA Lead - Remote
Abu Dhabi, UAE
AI Engineer - Remote
Abu Dhabi, UAE
AI Engineer - Remote
Riyadh, KSA
Python QA Lead - Remote
Jeddah, KSA