Physics Research Auditor | $80-$110/hr Remote
Overview
This role involves auditing advanced physics content to train next-generation AI systems. You will evaluate the accuracy and rigor of solutions across specialized physics subfields, identify errors and inconsistencies, and provide detailed feedback. Your domain expertise, rather than AI experience, is the key qualification. The work is part-time (10 hours/week), remote, and contributes directly to refining AI learning models.
What You'll Do7
- 1Conduct detailed technical reviews of advanced physics content, evaluating accuracy and rigor across specialized subfields.
- 2Identify flaws, inconsistencies, and unsupported assumptions in research outputs and theoretical problem-solving approaches.
- 3Offer comprehensive feedback to clarify reasoning, highlight errors, and articulate corrective actions.
- 4Assess multiple solution methodologies with a broad yet deep theoretical perspective.
- 5Document findings clearly, communicating both in writing and verbally within the customer’s team environment.
- 6Contribute to the refinement of AI learning models by providing authoritative domain-specific judgments.
- 7Collaborate with a multidisciplinary group of experts to ensure scientific integrity.
Requirements6
- 1PhD in physics or senior PhD student with active research expertise in a subfield (e.g., High Energy, Biophysics, Condensed Matter, AMO, Gravitation, Quantum Information, Optical Properties).
- 2Publication of 2–5 peer-reviewed or arXiv/DOI-listed papers in the target area over the last five years.
- 3Demonstrated proficiency in LaTeX, SymPy, Python, and Jupyter.
- 4Exceptional written and verbal communication skills to explain complex scientific concepts and decisions.
- 5Experience in technical review, error detection, and evaluating scientific rigor and methodology.
- 6Eligibility to work in the US, UK, or Canada.
Who Should Apply
The ideal candidate is a physics researcher (PhD or advanced PhD student) with a strong publication record and experience in peer review or editorial work. They have deep theoretical knowledge in a specific subfield and are skilled at detecting errors, providing clear feedback, and explaining complex ideas. This role suits someone eager to apply their scientific expertise to improve AI systems without needing prior AI experience.
Salary Insight
The role pays $80-$110 per hour, based on experience and qualifications. It is a contract/part-time position with a commitment of approximately 10 hours per week over an 8–10 week period.
Required Skills
Application Tip
In your application, explicitly mention your physics subfield expertise and highlight your experience with peer review or editorial work. Also, demonstrate your proficiency with LaTeX, SymPy, Python, and Jupyter to stand out.