Applied Physics - AI Data Trainer
Posted 3 days ago by Alignerr
Negotiable
Undetermined
Remote
Edinburgh, Scotland, United Kingdom
Summary: The role of Applied Physics - AI Data Trainer at Alignerr involves collaborating with leading AI research teams to evaluate and enhance Large Language Models' understanding of physics. Candidates will design complex physics problems, create rigorous solutions, and audit AI-generated outputs for physical consistency. This fully remote position offers flexible hours and competitive pay, targeting individuals with a PhD in Applied Physics or a related field. The focus is on ensuring AI models adhere to fundamental physical laws through structured feedback and problem development.
Key Responsibilities:
- Design advanced, open-ended physics problems requiring multi-step logical reasoning and mathematical derivation.
- Create "golden responses" that provide rigorous, step-by-step solutions with perfect accuracy in physical constants and unit conversions.
- Evaluate AI-generated simulations and proofs for physical consistency, identifying violations of first principles.
- Provide structured feedback to improve the model’s ability to perform "Physics-Informed" reasoning.
Key Skills:
- PhD (completed or in the final stages) in Applied Physics, Physics, or a closely related field.
- Mastery of Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
- Exceptional analytical writing skills to explain complex physical phenomena clearly.
- Attention to detail regarding units, scientific notation, and logical proof flow.
- Preferred experience with data annotation, data quality, or evaluation systems for scientific datasets.
- Familiarity with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy).
Salary (Rate): £80.00/hour
City: Edinburgh
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Location: Remote
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models. We are seeking PhD-level Applied Physicists to challenge Large Language Models on their understanding of the physical world. You will work on university-level and research-level benchmarks in topics like quantum mechanics, electromagnetism, and thermodynamics. Your goal is to document failure modes in AI reasoning so we can ensure models respect the fundamental laws of the universe, such as conservation of energy and momentum. Work on high-impact projects while earning $40+/hour, fully remote, with flexible weekly hours.
Organization : Alignerr
Position : Applied Physics - AI Data Trainer
Type : Hourly Contract
Compensation : $40–$80 /hour
Location : Remote
Commitment : 10–40 hours/week
What You’ll Do
- Develop Complex Problems: Design advanced, open-ended physics problems (equivalent to PhD qualifying exams) that require multi-step logical reasoning and mathematical derivation.
- Author Ground-Truth Solutions: Create "golden responses" that provide rigorous, step-by-step solutions, ensuring that every physical constant and unit conversion is perfect.
- Technical Auditing: Evaluate AI-generated simulations and proofs for physical consistency. You will identify where a model "hallucinates" physics that violates first principles.
- Refine Reasoning: Provide structured feedback to improve the model’s ability to perform "Physics-Informed" reasoning, helping it understand constraints like boundary conditions and conservation laws.
Requirements
- Advanced Degree: PhD (completed or in the final stages) in Applied Physics, Physics, or a closely related field (e.g., Engineering Physics).
- Domain Expertise: Mastery of the core pillars of physics: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics.
- Analytical Writing: Exceptional ability to explain complex physical phenomena and mathematical derivations in clear, structured English.
- Precision: An uncompromising eye for detail regarding units, scientific notation, and the logical flow of a proof.
- No AI experience required
Preferred
- Prior experience with data annotation, data quality, or evaluation systems for scientific datasets
- Experience with tools such as MATLAB, COMSOL, or Python (NumPy/SciPy)
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening
- Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.