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Physics Labeling expert at Weekday AI. This role is for one of our clients. We are inviting . PhD holders, doctoral candidates, and exceptional Master’s graduates. in physics and related disciplines to join a . high-impact AI research initiative. in collaboration with a leading artificial intelligence lab. This role offers a unique opportunity to contribute your subject-matter expertise toward evaluating and enhancing AI performance in complex scientific domains.. Key Responsibilities. Assess the . scientific accuracy. , . conceptual rigor. , and . depth. of AI-generated responses across various physics and engineering topics. . Review outputs involving . mathematical modeling. , . experimental methodologies. , and . theoretical frameworks. . . Identify . factual errors. , . logical inconsistencies. , and . conceptual misunderstandings. in AI-generated content. . Benchmark model performance on . advanced physics and applied engineering problems. . . Work . independently and asynchronously. using specialized evaluation tools. . Requirements. . PhD (candidate or recipient). or . Master’s degree. in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. . Strong foundation in . graduate-level physics. and . mathematical reasoning. . . Excellent . analytical. , . writing. , and . communication. skills. . Ability to work . independently in a remote, asynchronous environment. . . Role Details. . Type:. Part-time (approximately 20 hours per week) . . Location:. Fully remote . . Schedule:. Flexible and asynchronous . Compensation. . Hourly rate:. $20–$30 USD/hour, depending on expertise and domain experience . . Contract type:. Independent contractor . . Payments:. Processed weekly via Stripe Connect . Skills:. Physics Research, Scientific Evaluation, Mathematical Modeling, Data Annotation, Technical Analysis, AI Model Benchmarking. Company Location: India.