Data Collection Supervisor – AI Projects – Chatswood, Sydney | Visa + Salary Insights

📍 Location: au

🏷 Type: Not specified

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Job Overview

This Entry-Level AI operations role focuses on video-based data collection to support next-generation computer vision and AI model training. At Appen, a global leader in AI training data, you will supervise participants, manage recording workflows, and ensure high-quality dataset generation. Ideal candidates are 0–2 years experience, tech-comfortable, organized, and strong communicators who enjoy hands-on coordination in a onsite environment. This role blends human interaction, light technical troubleshooting, and operational execution in real AI pipelines.

🌍 Work Eligibility & Location

This is a location-bound onsite role, requiring physical presence in Sydney for managing recording sessions and participants. Since visa sponsorship is not available, the role is best suited for candidates already authorized to work in Australia. The onsite nature ensures direct interaction with participants and hands-on exposure to AI data collection environments, which is critical for quality control in video-based datasets.

💰 Salary Intelligence

The offered $33/hour sits competitively within the Australian market for entry-level AI operations roles. Compared to generic admin or coordinator jobs, this position provides higher earning potential due to its involvement in AI data pipelines. While not a traditional engineering role, it offers exposure to high-growth domains like computer vision and generative AI, making it strategically valuable for early-career professionals aiming to transition into AI-related fields.

📊 Role Breakdown

This role is structured around three core pillars: participant management (40%), data collection execution (40%), and technical support and reporting (20%). You will supervise participants during structured video recording sessions, ensuring adherence to project protocols and maintaining consistent data quality. A significant portion involves operating video capture tools, managing AI data collection platforms, and coordinating session logistics under varying conditions such as controlled lighting environments.

You will also monitor project trackers, update progress metrics, and communicate insights to leads. Light troubleshooting using software tools, recording equipment, and basic system workflows is expected. Administrative tasks include payment coordination, participant communication, and maintaining secure records. This blend of operational execution and technical exposure positions the role as a strong entry point into AI data operations, where accuracy, consistency, and process adherence directly impact model performance.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

While categorized as Entry-Level, competition is rising due to the growing appeal of AI-adjacent roles. The 0–2 years experience requirement lowers the barrier to entry, but candidates with exposure to AI tools, data workflows, or technical environments will stand out. The role’s hybrid nature—combining human coordination and technical execution—makes it moderately selective despite its accessibility.

🚀 Career Impact

This role delivers high strategic value for early AI careers. Working with a globally recognized AI data company builds credible industry exposure, especially in computer vision workflows. Over time, candidates can transition into AI operations management, data annotation leadership, or even machine learning support roles. The hands-on experience with real datasets significantly strengthens positioning for future AI-focused opportunities.

📋 Key Responsibilities

You will supervise participants during structured video recording sessions, ensuring compliance with project standards and consistent output quality. The role requires you to operate recording equipment and AI data collection tools, managing workflows from setup to completion. You will track project progress using spreadsheets and internal systems, providing updates to project leads.

Additionally, you will troubleshoot software and hardware issues, assist participants with technical challenges, and ensure smooth session execution. Administrative responsibilities include coordinating payments, maintaining accurate records, and ensuring data confidentiality. Strong attention to detail and the ability to adapt quickly to new systems are essential for success in this operationally intensive AI environment.

🎯 Application Strategy

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows moderate urgency due to ongoing AI data collection projects that require continuous staffing. The competition level is increasing as more candidates target AI-adjacent roles without needing deep technical backgrounds. Applying early with a tailored resume that highlights operational execution and tech adaptability significantly improves your chances of shortlisting.