Researcher – Physics

Company Description Dusker AI specializes in evaluating and benchmarking advanced AI systems through rigorous, research-driven methodologies. We partner with organizations developing large language models, AI agents, and autonomous systems to measure performance across reasoning, reliability, adaptability, safety, and domain expertise. Our evaluation frameworks are designed by subject matter experts and researchers, enabling deeper assessment than traditional benchmarks. By identifying strengths, uncovering failure modes, and testing real-world capabilities, Dusker AI helps organizations build AI systems that are robust, trustworthy, and deployment-ready. We work across a wide range of domains including mathematics, physics, chemistry, biology, software engineering, and applied sciences, creating high-quality evaluation datasets and benchmark suites that drive the next generation of AI performance. Role Description Researcher – Physics Compensation: $20–$25 per accepted task Location: Remote Education Requirement: Master's or PhD Publication Requirement: Peer-reviewed publications, conference papers, journal articles, preprints, or equivalent research contributions preferred. Application Requirements Applicants are strongly encouraged to include links to their Google Scholar profile, ResearchGate profile, ORCID profile, published papers, personal academic website, or other verifiable research publications within their CV/Resume. Applications with demonstrated research experience and accessible publication records will be prioritized during the review process. We are seeking a highly analytical Physics Researcher to contribute to the design and evaluation of advanced AI systems.

This remote position focuses on developing scientifically rigorous benchmarks, evaluating physical reasoning capabilities, and conducting research at the intersection of physics and artificial intelligence. The successful candidate will formulate challenging physics-based tasks, analyze scientific reasoning, assess model behavior, and develop evaluation methodologies that measure the accuracy, consistency, robustness, and domain expertise of advanced AI systems. Key Responsibilities • Design rigorous physics benchmark tasks and evaluation frameworks for AI systems • Develop challenging physics problems covering classical mechanics, electromagnetism, thermodynamics, statistical mechanics, quantum mechanics, optics, condensed matter physics, astrophysics, nuclear physics, particle physics, and related disciplines • Create scientifically accurate evaluation criteria and assessment methodologies • Analyze AI-generated responses and identify strengths, weaknesses, reasoning errors, factual inaccuracies, and failure patterns • Conduct literature-based research to support benchmark development and scientific validation • Evaluate model performance on physical reasoning, mathematical analysis, scientific interpretation, and quantitative problem-solving tasks • Collaborate with multidisciplinary teams to improve benchmark quality, coverage, and evaluation methodologies • Document methodologies, findings, and evaluation results through technical reports and research summaries • Contribute to benchmark datasets, evaluation frameworks, and internal research initiatives • Stay informed about developments in physics, AI evaluation, scientific reasoning assessment, and AI safety Role Qualifications Required • Master's or PhD in Physics, Applied Physics, Theoretical Physics, Astrophysics, Nuclear Physics, Particle Physics, Condensed Matter Physics, Optical Physics, Engineering Physics, or a closely related discipline • Demonstrated research experience with peer-reviewed publications, conference papers, journal articles, or equivalent scholarly contributions • Strong foundation in classical mechanics, electromagnetism, thermodynamics, statistical mechanics, quantum mechanics, and mathematical physics • Experience with scientific literature review, research methodology, and evidence-based analysis • Strong analytical and critical thinking skills • Experience with theoretical analysis, experimental design, data interpretation, mathematical modeling, and scientific problem-solving • Excellent written and verbal communication skills in English • Ability to work independently in a remote research environment Preferred • PhD degree in Physics or a specialized physics discipline • Multiple peer-reviewed publications in recognized journals or conferences • Experience evaluating AI systems, machine learning models, or large language models • Expertise in one or more specialized physics disciplines such as quantum physics, condensed matter physics, astrophysics, particle physics, nuclear physics, optics, plasma physics, computational physics, or materials physics • Experience developing benchmarks, datasets, educational assessments, or evaluation frameworks • Familiarity with AI safety, model alignment, AI benchmarking methodologies, or scientific reasoning evaluation • Experience reviewing scientific manuscripts, grant proposals, academic assessments, or research publications Candidates with strong academic research backgrounds, publication records, demonstrated expertise in physical sciences, and exceptional scientific reasoning skills are especially encouraged to apply.