• Review, validate, and improve AI-generated outputs • Identify systemic errors, edge cases, and opportunities to improve model performance • Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries • Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues • Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements • Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment • Other duties and projects as assigned

• Review, validate, and improve AI-generated outputs • Identify systemic errors, edge cases, and opportunities to improve model performance • Must be able to review and document with strong quality focus and application of clinical experience to extract key information for medical summaries and compare data with source documents to detect clinical or technical errors • Provide structured feedback to QA and Machine Learning teams on model behavior, error patterns, and data quality issues to directly influence training and iteration cycles • Identify recurring data issues or annotation inefficiencies and propose workflow or tooling improvements • Meet or exceed defined productivity and quality benchmarks in a high-throughput, AI-assisted production environment • Other duties and projects as assigned

• Provide administrative and data entry support to NSW residential certifiers and private PCA practices • Ensure files are accurate, organised, compliant, and audit-ready • Perform high-volume, high-accuracy data entry for certification applications, job registers, and tracking logs • Create and maintain structured digital job files including CDC, CC, and OC documentation • Upload, name, and organise documents in line with NSW certifier standards • Conduct quality checks to ensure files are audit-ready • Prepare standard forms, checklists, and document packs for certifier review • Track outstanding documents and follow up with builders, designers, and consultants

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role focuses on annotating and labeling audio data to help improve AI models. You’ll work with provided tools, clear guidelines, and training materials to ensure high-quality outputs. Strong English comprehension and attention to detail are key. - Accurately annotate and categorize audio clips and texts in the German language - Review and follow detailed labeling instructions and training resources, including documentation and Loom video tutorials - Maintain consistency and high accuracy across all assigned tasks - Join training sessions and participate in receiving or giving quality feedback - Work closely with the Project Manager to meet daily and weekly productivity targets - Flag unclear audio samples or guideline inconsistencies as needed Qualifications - Excellent command of the German language - High attention to detail and ability to focus on repetitive tasks - Stable internet connection and a reliable device suitable for remote full-time work - Self-motivation, punctuality, and the ability to follow structured workflows