Apply advanced condensed matter magnetism expertise to AI training involving magnetic structures, neutron scattering, magnetic space groups, and magneto-optic signatures. Remote contractor work runs about 8–10 weeks at approximately 10 hours per week.
General Annotation
100% Remote Hourly · $80–$160/hr
$80–$160/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Aug 2, 2026
Posted
Open worldwide
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Remote contractor opportunity
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About AI Training Work
AI training is the human side of building artificial intelligence. Expert contributors analyze information, evaluate model-related content, and provide carefully reasoned feedback that helps AI systems learn to interpret complex subjects.
Contribute specialized scientific knowledge to cutting-edge AI development
Use your research expertise in a flexible, project-based setting
Prior experience in AI training is not required
The Role
OpenTrain is seeking a condensed matter magnetism specialist for AI training work involving magnetic structures, neutron scattering, magnetic space groups, and physical signatures of magnetic order. You will provide specialized scientific analysis to help improve how AI systems learn and reason about advanced physics.
This remote contractor engagement is expected to last approximately 8 to 10 weeks and requires about 10 hours per week.
Engagement type: Part-time contractor
Expected duration: Approximately 8 to 10 weeks
Time commitment: About 10 hours per week
Compensation: $80 to $160 per hour
What You'll Do
You will evaluate theoretical and experimental information related to magnetic ordering and structure determination, applying advanced symmetry concepts and condensed matter physics methods.
Analyze and interpret magnetic structure factors using propagation-vector methods and advanced symmetry concepts.
Identify and classify antiferromagnetic, ferromagnetic, and related magnetic phases using theoretical and experimental data, including neutron diffraction results.
Curate and validate magnetic space group assignments using MAGNDATA and BNS notation conventions.
Evaluate birefringence and magneto-optic Kerr effect signatures for selected materials.
Connect optical observations to underlying magnetic structures and physical mechanisms.
Required Qualifications
This role requires advanced academic training or equivalent research experience in condensed matter physics, with a specialization in magnetism or a closely related field. Strong technical knowledge and the ability to connect experimental observations with underlying physical mechanisms are essential.
Advanced academic training or equivalent research experience in condensed matter physics, specializing in magnetism or a related field.
Proficiency in magnetic structure factor calculations, propagation-vector analysis, and symmetry-based magnetic phase classification.
Direct experience identifying and classifying magnetic space groups using MAGNDATA and BNS notation.
Strong knowledge of neutron scattering techniques for magnetic structure determination.
Ability to interpret birefringence and magneto-optic Kerr effect signatures.
Ability to connect experimental observations to underlying magnetic mechanisms.
Why Work With OpenTrain
OpenTrain gives specialized contributors a place to develop a lasting AI training portfolio. By showcasing your expertise and completing relevant projects, you can discover opportunities that fit your background and grow your experience in a rapidly expanding field.
Work remotely with flexible part-time hours
Apply advanced physics expertise to AI development
Create a credible profile demonstrating your specialized experience
Explore a growing field where human judgment directly shapes AI systems
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