• Provide original, self-authored medical documents (PDF or Word) for AI training purposes, including clinical reports, case studies, research manuscripts, technical documentation, and educational materials. • Ensure submitted documents demonstrate depth, technical accuracy, and real-world medical expertise. • Contribute multimodal content containing text, tables, charts, diagrams, figures, and other visual elements where applicable. • Carefully de-identify all confidential or patient-specific information while maintaining the integrity and educational value of the documentation. • Curate a diverse collection of documents, ideally ranging from 10–100 pages, to support various AI training scenarios. • Provide additional context or clarifications regarding submitted materials when required. • Collaborate remotely with project teams to support the continuous improvement of AI systems through high-quality medical content.

• Review and evaluate chemistry content to ensure scientific accuracy, clarity, and completeness. • Create, edit, and validate experimental write-ups, synthesis reports, and technical analyses. • Develop detailed explanations of chemical concepts, reaction mechanisms, and laboratory processes across varying levels of complexity. • Assess and verify chemical equations, datasets, calculations, and experimental procedures. • Collaborate with project teams to deliver high-quality scientific content aligned with project objectives. • Provide structured feedback to improve chemistry-related datasets and documentation used for AI model development. • Contribute to the development and refinement of project guidelines using your subject matter expertise.

• Evaluate and annotate scientific data, equations, and experimental findings across various physics disciplines. • Review technical content for scientific accuracy, clarity, completeness, and logical consistency. • Provide expert feedback to improve the quality of physics-related content used in AI training. • Create and review problem sets, technical explanations, research summaries, and analytical write-ups covering both foundational and advanced physics concepts. • Develop clear, well-structured documentation that enables AI models to better understand scientific principles and reasoning. • Author or edit experimental descriptions and technical reports with precision and attention to detail. • Assess AI-generated responses for technical correctness, logical reasoning, and scientific rigor. • Identify inaccuracies, ambiguities, or gaps in AI-generated physics content and provide actionable recommendations for improvement. • Contribute to the creation and refinement of high-quality datasets used for AI training and benchmarking. • Work collaboratively with project managers and subject matter experts in a remote environment. • Identify opportunities to improve data quality, content coverage, and evaluation methodologies. • Ensure timely delivery of high-quality work aligned with project milestones and quality standards.

• Review, solve, and evaluate advanced mathematical problems across pure and applied mathematics. • Develop accurate, well-structured mathematical proofs, derivations, technical explanations, and analytical solutions. • Ensure mathematical rigor, precision, and logical consistency in all deliverables. • Assess AI-generated mathematical solutions for correctness, clarity, completeness, and logical reasoning. • Identify errors, inconsistencies, or gaps in AI outputs and provide actionable feedback to improve model performance. • Validate mathematical reasoning against established theories and best practices. • Create high-quality mathematical datasets, annotations, and domain-specific training content for AI model development. • Produce clear technical documentation and structured explanations covering a wide range of mathematical concepts. • Contribute to benchmark datasets used for evaluating AI reasoning capabilities. • Collaborate remotely with cross-functional teams and subject matter experts across various mathematical disciplines. • Communicate complex mathematical concepts effectively to both technical and non-technical audiences. • Document methodologies, findings, and recommendations in a clear and organized manner.