Alignerr
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Physicist, PhD (Contract)
role at
Alignerr
1 day ago Be among the first 25 applicants
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This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $90.00/hr - $120.00/hr
Quick facts
Engagement - Hourly, at‑will contractor
Schedule - Fully remote & asynchronous (min.15hrs/week)
Pay Range (US) - $25–$100 per hour
Start Date - Rolling — staffed as projects launch
What You’ll 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
You’re a great fit if
You hold a PhD in physics (or a closely related field), with demonstrated expertise in research, teaching, or advanced problem-solving
You have experience developing or critically reviewing sophisticated scientific, technical, or educational content—such as research publications, curriculum design, or complex simulations
You excel at communicating advanced physical concepts with clarity, and enjoy translating abstract theory into practical application
Bonus: You have experience with data labeling, RLHF, or other AI training or model evaluation projects
About The Role
Flexible workload — work from anywhere, on your own schedule
High impact — your craft directly improves models used by top AI labs & Fortune500 teams
Clear ownership — know exactly what success looks like and have autonomy to deliver
Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
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 advanced 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. We’re backed by SoftBank, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply? Click
“Apply”
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.
Referrals increase your chances of interviewing at Alignerr by 2x
#J-18808-Ljbffr
Physicist, PhD (Contract)
role at
Alignerr
1 day ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
This range is provided by Alignerr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $90.00/hr - $120.00/hr
Quick facts
Engagement - Hourly, at‑will contractor
Schedule - Fully remote & asynchronous (min.15hrs/week)
Pay Range (US) - $25–$100 per hour
Start Date - Rolling — staffed as projects launch
What You’ll 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
You’re a great fit if
You hold a PhD in physics (or a closely related field), with demonstrated expertise in research, teaching, or advanced problem-solving
You have experience developing or critically reviewing sophisticated scientific, technical, or educational content—such as research publications, curriculum design, or complex simulations
You excel at communicating advanced physical concepts with clarity, and enjoy translating abstract theory into practical application
Bonus: You have experience with data labeling, RLHF, or other AI training or model evaluation projects
About The Role
Flexible workload — work from anywhere, on your own schedule
High impact — your craft directly improves models used by top AI labs & Fortune500 teams
Clear ownership — know exactly what success looks like and have autonomy to deliver
Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
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 advanced 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. We’re backed by SoftBank, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.
Ready to Apply? Click
“Apply”
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.
Referrals increase your chances of interviewing at Alignerr by 2x
#J-18808-Ljbffr