About Appen
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Our expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Our reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
At Appen, we value purpose where we unlock the power of AI for good to build a better world; perspective where we are a learn it all culture and embrace that comfort and growth do not coexist and prosperity where we are customer obsessed, action oriented, have courage to innovate and celebrate winning together.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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Appen seeks to mobilize a panel of experts to support the annotation and development of datasets. The dataset is composed of video data featuring a range of skilled individuals performing a set of physical and procedural tasks around the world. The project is composed of video data featuring a range of skilled individuals performing a set of physical and procedural tasks around the world. These tasks are captured in the first-person (egocentric) and third-person (exocentric) perspective. We seek experts to review the video files, provide performance commentary, help form task graphs and taxonomies of each specialized task, and work to develop and label proficiency estimates of the camera-wearers and each demonstration. This work requires Music Expertise; effective communication; teaching experience; and commitment to the project—expert contributions to support fundamental AI research in the advancement of skills transfer and education.
Responsibilities include:
- Collaborate with the research team to produce comprehensive verbal and written task graphs describing culinary actions. A task graph is a representation of each task, their dependencies and workflow, and process.
- Review draft procedural documents that outline culinary procedural activities and adapt for accuracy.
- Provide Written or verbal expert commentary time stamped across videos in the dataset — offering technical perspectives on the execution of tasks by the camera-wearer, tips, guidance, and other suggestions.
- Contribute culinary expertise to support researchers in developing a method to evaluate and rate culinary proficiency.
Requirement / Qualification:
- Music degree or certification
- Teaching or performance experience
- Membership in National Association for Music Education
- Experience teaching or creating how-to guides
Appen is the global leader in data for the AI Lifecycle with more than 25 years’ experience in data sourcing, annotation, and model evaluation. Through our expertise, platform, and global crowd, we enable organizations to launch the world’s most innovative artificial intelligence products with speed and at scale. Appen maintains the industry’s most advanced AI-assisted data annotation platform and boasts a global crowd of more than 1 million contributors worldwide, speaking more than 235 languages. Our products and services make Appen a trusted partner to leaders in technology, automotive, finance, retail, healthcare, and government. Appen has customers and offices globally.
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