Top Technology Jobs & Startup Jobs in Sydney

Evaluate and improve AI-generated biomedical engineering content for technical accuracy, logical soundness, completeness, safety, and regulatory awareness. Develop realistic biomedical scenarios and reasoning tasks, review prompts and step-by-step solutions, identify errors and unsupported claims, and provide structured feedback. Assess model performance across medical devices, biomechanics, bioinstrumentation, signals, biomaterials, imaging, verification, validation, and risk management while promoting responsible communication of assumptions, limitations, and patient-safety considerations.

Evaluate AI model responses to business strategy and consulting problems, create high-quality prompts and model answers, provide detailed feedback, assess reasoning using structured frameworks, identify gaps, and collaborate with project teams as guidelines evolve.

Evaluate and improve AI model responses involving valuation, financial modeling, capital markets, investment analysis, and due diligence. Create expert prompts and reference answers based on real deal experience, identify flawed reasoning and unrealistic assumptions, and provide feedback to improve model behavior in financial contexts.

Reconstructs and enhances PowerPoint presentations featuring financial analysis, valuation, data visualization, and investor materials. Designs persuasive, investor-ready presentations; edits content for accuracy and readability; evaluates drafts for data integrity and messaging; and provides asynchronous feedback to support AI training projects.

Reconstructs and enhances PowerPoint presentations, improving slide structure, visual storytelling, data visualization, content clarity, and narrative flow. The contractor analyzes complex materials, edits and refines content, provides constructive feedback, and delivers polished presentation assets remotely. Prior client-facing management consulting experience is required, with contributions supporting AI model training and evaluation.

Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative problems. Develop expert prompts, datasets, and reference solutions; identify statistical and methodological errors; and provide structured feedback to improve model performance. The role requires Python, machine learning, statistics, data analysis, experimentation, Pandas, and data modeling skills.