AI Instructor – Data annotation

What the work is for

YPAI Learn trains people for AI data work in live classes. Your classes take learners from their first labelled examples to a finished batch of text, image and audio annotations, and teach them to check their labels against the guideline and to flag the edge cases it leaves open.

The work

• Teach the live class “Label a text and image batch from the annotation guidelines”, 90 minutes, from the class kit.
• Teach the live class “Transcribe audio, settle edge cases and quality-check your labels”, 90 minutes, from the class kit.
• Show live in an annotation tool how to tag entities and intent in text, draw tight bounding boxes on images and apply the guideline's rule for objects that are partly hidden.
• Walk learners through an audio clip: transcribe it, mark speakers, overlapping speech and noise, then compare their labels with a reviewed answer key.
• Help learners stuck on a case the guideline never mentions: show how to write it up as a question and how to keep labels consistent over a long batch.

What to expect

• Everything is taught live and online in English, to learners spread across time zones. The application also has a question on other teaching languages.
• Every class has its own kit: a minute-by-minute plan, slides, speaker notes, a demo in an annotation tool and a recorded copy of that demo as backup.
• You teach remotely on your own computer, with a stable connection, a camera, a microphone and headphones for the audio exercise.
• There is an instructor test for each class, and you pass it before you teach that class.
• Before a teaching assignment starts, you sign an instructor agreement. It covers pay, confidentiality and how class material may be used.
• Each invitation states the class times and the price learners pay, and you see both before you accept.
• Already have a course on data annotation, or want to make one? You can sell your own recorded course on YPAI Learn too. Bring a course you've built, or build one with our kit. It's the same application.

What you bring

• Annotation work you can show and explain, such as a guideline you wrote or a labelled sample built from public or made-up data.
• Experience teaching, onboarding new annotators, reviewing labels or giving feedback on errors.
• Patience with learners who are new to working from long, detailed guidelines.

You need

• Hands-on annotation of text, image or audio data in real projects.
• Quality review experience: checking other annotators' labels, keeping answer keys or running spot checks on a batch.
• Fluent spoken English, the language the classes are taught in.
• 18 years or older.

Good to know

• When your contract with an employer requires approval for outside work, arrange that approval first, then accept the assignment.
• Your teaching load depends on class demand; you see the expected time commitment in each invitation.
• Applying is free of charge, and no YPAI Learn course has to be bought or taken.