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Data Collection Supervisor - AI Projects (On-Site)

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Onsite

Data Collection Supervisor - AI Projects (On-Site)

Appen

Data Collection Supervisor - AI Projects (On-Site)

Skills

AI

1 month ago

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Important information


Contract type:

Part time

Location:

Kingsford NSW 2032, Australia

Work mode:

Onsite

Published on:

14 September 2026

What they need


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
  • Use Appen’s tools and equipment to run data collection projects
  • Monitor project trackers and report progress to the Data Collection Lead
  • Communicate with participants (in-person, via email, or phone)
  • Provide light troubleshooting support with software and equipment
  • Set up participant payments and maintain accurate records
  • 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

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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