At a Glance
- Tasks: Design advanced physics problems and evaluate AI reasoning in scientific contexts.
- Company: Alignerr, a leader in AI research with a focus on collaboration.
- Benefits: Fully remote, flexible hours, and opportunities for ongoing work.
- Other info: Enjoy high autonomy and global collaboration on cutting-edge projects.
- Why this job: Shape the future of AI while applying your physics expertise in impactful ways.
- Qualifications: Masters in Physics or related field; strong problem-solving and communication skills.
The predicted salary is between 25 - 35 £ per hour.
We're looking for physics experts to help train and evaluate cutting-edge AI models. Your deep understanding of physical principles will directly shape how AI reasons through complex scientific problems — contributing to some of the most advanced AI research happening today.
This is a fully remote, flexible contract role designed for Masters-level physicists who want to apply their expertise in a high-impact, forward-looking way.
- What You'll Do
- Design advanced physics problems spanning mechanics, electromagnetism, thermodynamics, and more to rigorously test AI reasoning.
- Develop clear, step-by-step solutions with logically sound and well-structured explanations.
- Evaluate AI-generated outputs for scientific accuracy, reasoning quality, and depth.
- Collaborate with researchers to build and refine benchmarks across undergraduate through Masters-level physics topics.
- Work independently and asynchronously on your own schedule.
- Who You Are
- Currently pursuing or have completed a Masters degree in Physics, Applied Physics, or a closely related field.
- Strong physics reasoning and problem-solving ability across advanced domains.
- Able to communicate complex scientific concepts clearly and precisely in writing.
- Detail-oriented with a structured, analytical approach to feedback.
- No prior AI experience required — your physics expertise is what matters.
- Nice to Have
- Experience with data annotation, data quality review, or evaluation systems.
- Familiarity with AI or machine learning concepts.
- Background in tutoring, academic writing, or scientific publishing.
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and AI teams.
- Fully remote and flexible — work when and where it suits you.
- Freelance perks: high autonomy, variety of problems, and global collaboration.
- Contribute to meaningful work that shapes how AI understands science.
- Potential for ongoing work and contract renewal.
Remote AI Training Physicist (Physics Masters) - Flexible Contract in Glasgow employer: Alignerr
Alignerr is an exceptional employer for physics experts seeking to make a significant impact in the AI field. With a fully remote and flexible work environment, you can tailor your schedule to fit your lifestyle while collaborating with leading research teams on innovative projects. The company fosters a culture of autonomy and encourages continuous learning, providing opportunities for ongoing work and professional growth in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Training Physicist (Physics Masters) - Flexible Contract in Glasgow
✨Tip Number 1
Network like a pro! Reach out to fellow physicists, join online forums, and connect with AI researchers. You never know who might have the inside scoop on job openings or collaborations that could lead to your next big opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your physics projects or any relevant work you've done. This can really help you stand out when you're chatting with potential employers or collaborators.
✨Tip Number 3
Don’t be shy about reaching out directly! If you see a company or project that excites you, drop them a message. Express your interest and how your physics expertise can contribute to their AI initiatives. It’s all about making connections!
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers. Let’s get you in the game!
We think you need these skills to ace Remote AI Training Physicist (Physics Masters) - Flexible Contract in Glasgow
Some tips for your application 🫡
Show Off Your Physics Skills:Make sure to highlight your Masters in Physics and any relevant experience. We want to see how your deep understanding of physical principles can contribute to AI training, so don’t hold back!
Be Clear and Concise:When writing your application, keep it structured and to the point. Use clear language to explain complex concepts, as this reflects your ability to communicate effectively — a key skill for this role.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your responses to our job description. Show us how your skills and experiences align with what we’re looking for in an AI Training Physicist.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Alignerr
✨Know Your Physics Inside Out
Make sure you brush up on your advanced physics concepts, especially mechanics, electromagnetism, and thermodynamics. Be ready to discuss how these principles can be applied in AI training, as your deep understanding will be crucial in the interview.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your problem-solving abilities by discussing specific examples from your studies or previous work. Think about how you would design advanced physics problems for AI and be ready to explain your thought process clearly.
✨Communicate Clearly and Concisely
Since you'll need to convey complex scientific concepts, practice explaining them in simple terms. During the interview, focus on being clear and precise in your communication, as this will reflect your ability to create understandable solutions for AI.
✨Be Ready to Collaborate
Highlight any experience you have working independently or in teams, especially in academic settings. Discuss how you can contribute to collaborative projects with researchers, as teamwork is key in refining benchmarks and evaluating AI outputs.
