Physics Researcher / Scientific Data Validator | AI Research Project
MyRemoteTeam Inc · Not specified · onsite · Posted 66d ago
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About this role
Physics Researcher / Scientific Data Validator | AI Research Project
Location: India
Work Mode: Remote
Engagement: Project-based / Contract
Experience: Recent PhD / PhD candidates close to completion; maximum 6 years of relevant experience
Domain: Physics
About the Opportunity
We are looking for Physics researchers, PhD scholars, recent PhD graduates, and early-career physicists to contribute to a large-scale AI research and scientific data evaluation project.
This opportunity is suitable for candidates with strong academic or research backgrounds who are comfortable working with scientific literature, research publications, datasets, quantitative analysis, and scientific reasoning.
Your subject-matter expertise will be used to help evaluate and improve the quality, accuracy, and reliability of next-generation AI systems.
Who We Are Looking For
We are particularly interested in:
- Physics PhD graduates
- PhD candidates close to completing their PhD
- Applied Physicists
- Computational Physicists
- Experimental Physicists
- Quantum Researchers
- Astrophysics Researchers
- Condensed Matter Physicists
- Theoretical Physicists
- Statistical/Mathematical Physics researchers
- Optics/Photonics researchers
- Particle/Nuclear Physics researchers
What You Will Do
You may be responsible for:
- Reviewing and evaluating physics-related scientific content.
- Reviewing peer-reviewed research papers and scientific publications.
- Validating scientific claims against reliable research sources.
- Evaluating research methodologies, calculations, models, and conclusions.
- Identifying inaccurate, incomplete, inconsistent, or misleading scientific information.
- Reviewing and assessing scientific datasets and research outputs.
- Applying physics principles and scientific reasoning to evaluate AI-generated outputs.
- Comparing AI-generated responses against established scientific knowledge.
- Classifying and organizing scientific information.
- Performing scientific data annotation and quality evaluation.
- Assessing the reliability and relevance of scientific evidence.
- Documenting findings and providing clear recommendations.
Ideal Candidate
You should have:
- Master's or PhD background in Physics or a closely related discipline.
- Recent PhD completion or be close to completing your PhD.
- No more than 6 years of relevant experience.
- Strong academic/research experience.
- Peer-reviewed publications or research papers.
- Strong understanding of scientific methodology.
- Experience reviewing scientific literature.
- Strong analytical and quantitative reasoning.
- Ability to critically evaluate scientific claims.
- Excellent written English.
Good to Have
- Experience with scientific datasets.
- Computational or numerical modelling.
- Python, MATLAB, Mathematica, R, or similar tools.
- Experience with simulations.
- AI/ML research experience.
- Scientific data annotation/evaluation.
- Experience reviewing research papers.
- Experience working with research repositories or databases.
Preferred Research Areas
- Quantum Physics
- Condensed Matter Physics
- Computational Physics
- Applied Physics
- Astrophysics
- Particle Physics
- Nuclear Physics
- Optics & Photonics
- Statistical Physics
- Mathematical Physics
- Experimental Physics
- Theoretical Physics
Documents Required
Candidates should be prepared to provide:
- Updated Resume/CV
- Google Scholar profile
- Research/publication links
- ORCID
- ResearchGate, if available
- Relevant research papers/articles
- Portfolio/GitHub, where applicable
Important Eligibility Requirement
Recent PhD graduates or candidates close to completing their PhD are strongly preferred. Candidates with more than 6 years of experience will not be considered.
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