Physics Expert
Alignerr ⢠Remote ⢠Posted 0 days ago
Education
Any
Type
Pay Rate
$70/task
Posted
0d ago
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About this Role
Quick facts
- Engagement | Hourly, atâwill contractor
- Schedule | Fully remote & asynchronous (min.âŻ15âŻhrs/week)
- Pay Range (US) | $25âŻââŻ$100 per hour
- Start Date | Rolling â staffed as projects launch
About the role
- Flexible workload â work from anywhere, on your own schedule
- High impact â your craft directly improves models used by top AI labs & FortuneâŻ500 teams
- Clear ownership â know exactly what success looks like and have autonomy to deliver
- Growth potential â consistent high performers spearhead new programs and mentor incoming SMEs
Physics Expert (Contract)
Labelbox ⢠Remote (UnitedâŻStates preferred) Shape the data that powers frontier AI
What youâll do
- Data annotation: Accurately label and categorize physics problems, concepts, diagrams, experiments, and other relevant data
- Concept mapping: Connect key physics principles and establish relationships between different topics (e.g., mechanics, electromagnetism, thermodynamics) to help AI models grasp the structure of the subject
- Solution review: Analyze and verify AI-generated solutions to physics problems, identifying errors and offering clear feedback to improve model performance
- Content development: Help create well-rounded training datasets that span a variety of physics topics and difficulty levels
Youâre a great fit if
- You bring deep expertise in physics (research, teaching, or applied problem-solving)
- Youâve built or reviewed complex scientific, educational, or technical content (lab work, curriculum, simulations, or similar)
- You communicate challenging physical concepts clearly and enjoy turning theory into real-world understanding
- Bonus: Experience with data labeling, RLHF, or other AI training projects
Interview process
- Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
- Domain-specific Zara interview to assess your understanding of fundamental physics principles, your ability to analyze complex processes, and your skill in applying theoretical frameworks to real-world scenarios.
About Labelbox
Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. Weâre backed by SoftBank, AndreessenâŻHorowitz, BâŻCapital, GradientâŻVentures, DatabricksâŻVentures, and KleinerâŻPerkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply?
Click âApplyâ above, and take one or more domain specific assessments. We review candidates on a rolling basis and will contact you if your background matches an active project.
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in STEM
Eligible Languages
Fluent proficiency in English
Compensation Analysis
- Flexible workload â work from anywhere, on your own schedule - High impact â your craft directly improves models used by top AI labs & Fortune 500 teams
Skills & Categories
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests â a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes â and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
Is this just labeling data?
No. This is closer to academic research. You will likely be writing or verifying complex proofs, solving advanced equations, or checking the logic of a model's step-by-step reasoning. The goal is to teach AI systems to reason deeply in your field.
Do I need a PhD?
For the highest pay tiers in this category, a PhD (or current enrollment) is usually expected. However, the most important factor is your ability to pass the domain assessment. If you can solve the problems, the degree is secondary.
Is the work continuous?
Work in niche fields is often project-based. A specific "campaign" (e.g., training a model on Quantum Mechanics) might last for a few weeks. It is best to treat this as a high-paying fellowship or grant rather than a permanent daily job.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.