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- Tasks: Design advanced physics problems and evaluate AI simulations for accuracy.
- Company: Alignerr, a leader in AI research collaboration.
- Benefits: Earn $40+/hour, fully remote with flexible hours.
- Why this job: Make an impact on AI while working on cutting-edge projects.
- Qualifications: PhD in Applied Physics or related field; mastery of core physics concepts.
- Other info: Freelance perks include autonomy and global collaboration.
The predicted salary is between 30 - 60 £ per hour.
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.
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
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Applied Physics - AI Data Trainer in Glasgow employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Physics - AI Data Trainer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the physics and AI fields. Attend relevant webinars or conferences, and don’t be shy about introducing yourself. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your work in applied physics, especially any projects related to AI or data training. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle complex physics problems on the spot, just like you would in the role. Practice explaining your thought process clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we review applications daily, so you won’t be left waiting around.
We think you need these skills to ace Applied Physics - AI Data Trainer in Glasgow
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your PhD and any relevant experience in Applied Physics. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in quantum mechanics or electromagnetism!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and physics. We love seeing candidates who can articulate their interest in challenging AI models and how they can contribute to our mission.
Show Off Your Analytical Writing Skills: Since we value clear communication, include examples of your analytical writing in your application. Whether it’s a published paper or a project report, we want to see how well you can explain complex concepts in a structured way.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity. Plus, we review applications daily, so get yours in!
How to prepare for a job interview at Alignerr
✨Know Your Physics Inside Out
Make sure you brush up on your core physics concepts, especially in areas like quantum mechanics and thermodynamics. Be ready to discuss complex problems and demonstrate your mastery of the subject matter during the interview.
✨Prepare for Problem-Solving Questions
Expect to tackle open-ended physics problems similar to PhD qualifying exams. Practise designing multi-step logical reasoning problems and think about how you would approach creating 'golden responses' for them.
✨Showcase Your Analytical Writing Skills
Since you'll need to explain complex phenomena clearly, prepare examples of your writing that demonstrate your ability to convey intricate ideas in a structured manner. This could be from your thesis or any published papers.
✨Familiarise Yourself with AI Concepts
Even though no AI experience is required, having a basic understanding of how AI models work and their limitations can set you apart. Think about how you would evaluate AI-generated simulations and provide constructive feedback.
