Contribute to data annotation that helps build state-of-the-art AI-powered models for the given target languages.
Appen Contributors perform basic online tasks to evaluate the quality and relevance of internet-based search results. This position helps to ensure that people around the world are presented with the most effective and relevant data possible when searching for information. In other words, your input counts in creating a better user experience for people looking for data online around the globe.
By joining this project, you’ll not only help make a better user experience but also have the opportunity to work on other projects at the forefront of artificial intelligence for the world’s largest technology companies.
We're looking for data annotators to help us build a benchmark for stereotype evaluation.
In this project, you will be provided with a set of tuples (identity term, associated token) for the annotation, and you are expected to label each tuple as either a Stereotype (S), Not a stereotype (NS), and Not sure (U). The annotation task will be in English and you will need to follow the guidelines we provide while labelling tuples.
You will be able to work from home on your own time.
You must have a good command of English in order to understand the project-related materials and work on the task, as all project materials and tasks will be in English
Must also be a fluent speaker of Amharic and a resident of Ethiopia
Have access to a computer and stable internet, no mobile device is allowed
This is currently a small pilot project, please apply now as we only need a small pool of candidates per language! Be an Appen Contributor!
What to expect when you register:
Create an Appen Account
Choose Amharic (Ethiopia) as your primary language
Complete your profile and project registration [5 min]
Study the provided guidelines [at your own pace]
Agree to confidentiality and ways of working rules
Pass the quiz
Thank you and we hope to work with you soon!
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