Appen

Data Collection Supervisor - AI Projects (On-Site)

Kingsford Hourly On-site
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Job Description

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.

Frequently Asked Questions

What does the Data Collection Supervisor - AI Projects (On-Site) role at Appen involve?

The Data Collection Supervisor - AI Projects (On-Site) position at Appen in Kingsford is a hourly role. 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.

What skills are required for Data Collection Supervisor - AI Projects (On-Site) at Appen?

Key skills for this role include: EKS, RDS.

What is the salary for Data Collection Supervisor - AI Projects (On-Site) at Appen?

The salary for this position is not publicly listed. You can negotiate during the interview process. Check Glassdoor or Levels.fyi for estimates.

Is the Data Collection Supervisor - AI Projects (On-Site) position at Appen remote or on-site?

This position is On-site. The role is based in Kingsford.

How do I apply for Data Collection Supervisor - AI Projects (On-Site) at Appen?

You can apply for this position directly through the employer's careers page. Click the 'Apply Now' button on this page to be redirected to the original listing. Make sure your resume is ATS-optimized. Use SpotChange's free ATS test to check.

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About This Role

Data Collection Supervisor - AI Projects (On-Site) at Appen is a hourly ai & machine learning position in Kingsford. Key skills include EKS, RDS. Education: Master's Degree preferred. Experience: 3+ years.

This role is classified as on-site and is suitable for mid level-level professionals. Ghost Score 20/100 (Probably Active) indicates this listing is probably active with recent employer engagement.

To apply, visit the official application page through the Apply Now button above. SpotChange Jobs provides AI-powered career tools including resume optimization, ATS testing, interview preparation, and salary negotiation assistance.