Alignerr
Alignerr provided pay range
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 $20.00/hr - $120.00/hr
Remote (United States preferred) Shape the data that powers frontier AI
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 bring deep expertise in physics (research, teaching, or applied problem-solving)
You’ve 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
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 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. 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.
Seniority level Entry level
Employment type Contract
Job function Research, Analyst, and Information Technology
Industries Technology, Information and Internet
#J-18808-Ljbffr
Base pay range $20.00/hr - $120.00/hr
Remote (United States preferred) Shape the data that powers frontier AI
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 bring deep expertise in physics (research, teaching, or applied problem-solving)
You’ve 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
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 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. 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.
Seniority level Entry level
Employment type Contract
Job function Research, Analyst, and Information Technology
Industries Technology, Information and Internet
#J-18808-Ljbffr