Top Tech Jobs & Startup Jobs in Melbourne

Investigates insurance claims for staged losses and fraud by analyzing CCTV, dashcam footage, photographs, statements, engineering reports, and other evidence. Reconstructs incidents, evaluates authenticity and causation, identifies inconsistencies and fraud patterns, and produces objective written assessments for insurance and SIU professionals. Contributes investigative expertise to AI training and evaluation datasets while collaborating remotely with project stakeholders.

Analyze consumer product safety laws, regulations, directives, and standards across jurisdictions. Review and evaluate legal and compliance documentation, assess product safety scenarios and compliance strategies, identify regulatory gaps and risks, and provide practical guidance. Validate AI-generated legal content for accuracy and completeness, contribute structured legal analysis to AI training datasets, and collaborate with stakeholders to deliver high-quality work.

Designs and refines executive PowerPoint presentations by transforming complex business information, research, and data into clear visual narratives. Responsibilities include slide reconstruction, data visualization, content editing, narrative evaluation, formatting, stakeholder collaboration, and delivering polished client-ready materials. The role also provides presentation examples and insights to support AI training and evaluation while meeting deadlines remotely.

Develop, validate, debug, and optimize machine learning models, training pipelines, inference systems, and numerical implementations using Python. Build reproducible workflows, diagnose computational issues, create systematic tests, and improve memory usage, throughput, and performance. Review code and solutions, use coding agents in development, document technical findings, and deliver reliable work independently within project deadlines.

Design, implement, review, and validate production-grade Rust backend systems for AI training projects. Responsibilities include API development, persistence, asynchronous processing, concurrency, performance optimization, reliability testing, architecture assessment, debugging, and creating reproducible environments with databases, dependencies, fixtures, and containers. The role requires clear technical documentation, evaluation of failure scenarios and race conditions, and consistent delivery of high-quality implementation artifacts.