Senior Physics Adjudicator

Micro1; India; A distancia; INR 2.480.000 - 4.408.000; A tiempo parcial

Descripción de la vacante

Cashback24x7 is seeking a Senior Physics Adjudicator (contractor/part-time, 10 hrs per week) to remotely train AI systems by evaluating complex physics content. You will adjudicate, refine, and mentor through rigorous scientific review, leveraging your domain expertise to shape model learning.

The role emphasizes high-level judgment, cross-disciplinary awareness, and strong leadership in research settings, with a flexible remote arrangement.

Formación

• PhD in physics or senior PhD student with ongoing research/publications.
• Proven track record in high-level scientific judgment and leadership.
• Experience as professor, PI, or equivalent authority in physics.
• Proficiency in LaTeX, Python, and scientific tooling is required.

Responsabilidades

• Serve as adjudicator for advanced physics problems within your subfield.
• Evaluate and resolve conflicting methodologies and interpretations in AI training data.
• Review and refine scientific content for clarity and accuracy.
• Provide detailed written and verbal feedback to improve model understanding.
• Collaborate with a global team to improve training data quality.
• Maintain high scientific rigor and leadership in research environments.

Conocimientos

LaTeX

SymPy

Python

Jupyter

Educación

PhD in physics

Senior PhD student

Descripción del empleo

Job Title

Senior Physics Adjudicator

Job Type

Contractor/ Part-Time (10 hrs. a week)

Location

Remote

Job Summary

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Serve as the recognized adjudicator for advanced physics problems within your subfield, delivering authoritative scientific judgments.
• Evaluate and resolve conflicting methodologies, results, or interpretations submitted for AI training purposes.
• Review and refine scientific content for clarity, accuracy, and consistency, ensuring alignment with best research practices.
• Provide detailed written and verbal feedback to improve AI model understanding and outputs.
• Draw on a cross-disciplinary perspective to inform adjudication and highlight nuances or alternate approaches.
• Collaborate with a global team of experts, sharing insights to advance the quality of training datasets.
• Maintain high standards of scientific rigor in all assessments, reflecting leadership and mentorship experience in research environments.

Required Skills and Qualifications

• PhD in physics or senior PhD student (minimum), with ongoing research and publications in the relevant subfield.
• 2–5 recent (past 5 years) representative publications available via arXiv/DOI.
• Demonstrated expertise as a professor, industry research PI, or equivalent subject matter authority.
• High-level scientific judgment for evaluating edge cases and resolving disagreements.
• Broad cross-disciplinary awareness and understanding of alternative research standards.
• Strong leadership background in mentoring, reviewing, or directing research projects/labs.
• Proficiency in LaTeX, SymPy, Python, and Jupyter (please flag any gaps).

Preferred Qualifications

• Experience adjudicating research disputes or peer-reviewing high-impact publications.
• Involvement in AI, machine learning, or computational modeling projects is a plus.
• Availability for a sustained commitment of approximately 10 hours per week over an 8–10 week period.

Additional Info

Subfields of particular interest for this pilot include High Energy Physics/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter (including moiré systems, magnetic materials, PXP/Rydberg), AMO/Quantum Optics, Gravitation/Cosmology/Astrophysics, Quantum Information, and Optical Properties of Materials. Applicants should be based in the US, UK, or CA, though truly exceptional candidates from outside these locations may be considered. This is a unique opportunity to leverage your expertise within a pioneering AI training initiative as part of the customer's team.