Data Collection Supervisor - AI Projects (On-Site)
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Before you apply
LocationKingsford
Work modeon-site
Typepart-time
SeniorityEntry
DepartmentAI Data Opportunities, Delivery & Program Management
Company size1,001–5,000 people
PostedSep 14, 2026 · 1mo ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Previous experience in a customer facing role from retail, hospitality or corporate environment
A full driver's licence held for at least three years
Confident communicator, able to engage with diverse audiences
Tech-savvy, with basic troubleshooting skills
Proficient using Excel
Organized and detail-oriented, with strong time management skills
Able to quickly learn new systems and processes
Proactive, adaptable, and collaborative in a small team environment
Experience with video recording equipment/software
Familiarity with coding or AI-assisted coding tools
Skills
Excel
video recording equipment
coding tools
AI-assisted coding tools
Appen
Benefits
Flexible hours
Professional development
About the Role
We’re seeking a Data Collection Supervisor to support a variety of video-based data collection projects that help train the next generation of AI models. This individual contributor role is ideal for someone who enjoys working with people, has a knack for technology, and wants a flexible part-time opportunity close to the city.
As a Data Collection Supervisor, you’ll guide participants through video recording tasks, troubleshoot equipment and software, and make sure everything runs smoothly from start to finish. Some sessions will take place in specific lighting conditions (such as after dark or late afternoon), so flexibility is important.
Key Responsibilities
•
Supervise and instruct participants during recording sessions
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Use Appen’s tools and equipment to run data collection projects
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Monitor project trackers and report progress to the Data Collection Lead
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Communicate with participants (in-person, via email, or phone)
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Provide light troubleshooting support with software and equipment
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Set up participant payments and maintain accurate records
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Handle all participant and project information with confidentiality
Hours of Work
This is a casual hourly role and will be based on project requirements. Most weeks will involve a minimum of two to three days of work (15-21 hours of work per week) but there may be quiet periods.
About you
We are looking for
•
Previous experience in a customer facing role from retail, hospitality or corporate environment
•
A full driver’s licence held for at least three years
A confident communicator, able to engage with diverse audiences.
•
Tech-savvy, with basic troubleshooting skills
•
Proficient using Excel
•
Organized and detail-oriented, with strong time management skills
•
Able to quickly learn new systems and processes
•
Proactive, adaptable, and collaborative in a small team environment
Nice to have
•
Experience with video recording equipment/software
•
Familiarity with coding or AI-assisted coding tools
Hiring process
Apply now. Shortlisted applicants will be asked to register as a participant on one of our projects, so you can understand how a data collection session runs.
Why You’ll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.
About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.