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AAppen
Sydney, Australia2 months ago
Work format
Onsite
Employment
Part-time
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
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.
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.
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 are looking for
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.
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.
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.
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.
We are looking for
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.
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.
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.
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