Data Collection Supervisor - AI Projects (On-Site)

Appen; Kingsford (MI); On-site; USD 21,000 - 34,000; Part time

Job summary

Appen is seeking a Data Collection Supervisor to support video-based data collection projects that help train AI models. This part-time role is ideal for someone who enjoys working with people and has a knack for technology, offering a flexible schedule near Kingsford, Michigan.

You’ll guide participants through video recording tasks and troubleshoot equipment to ensure sessions run smoothly from start to finish.

Qualifications

• Previous experience in a customer facing role (retail, hospitality or corporate)
• A full driver’s license held for at least three years
• Confident communicator with diverse audiences
• Tech-savvy with basic troubleshooting skills
• Proficient in Excel

Responsibilities

• Supervise and instruct participants during recording sessions
• Operate Appen tools and equipment to run data collection projects
• Monitor project trackers and report progress to Data Collection Lead
• Communicate with participants in person, by email, or by 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

Skills

Customer facing

Driver's license

Communication

Tech savvy

Time management

Learning agility

Team collaboration

Tools

Excel

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 throughvideo 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

• 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

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.