Work from home in Spain | Project Amur
Entry-level job Madrid (Madrid) Teaching
Job description
In Project Amur you will be completing and reviewing purchases through an online Social Media site. You have the unique opportunity to purchase and keep up to $1,000 USD worth of purchases for free after reimbursement!
Note: There is no minimum limit for your purchases, you are able to spend as little as you are comfortable with as long as you have completed your purchases within guidelines.
100% of your costs will be reimbursed up to $1000.
Please follow the steps below on how to apply for the Amur project:
Click apply and you will be redirected to a page where you can create an account on Appen.
Once your account has been created, click the 'All Projects' Tab and look forProject Amur.
Click the"Qualify" button to start your qualification process for the project.
Please make sure to follow the instruction on how to proceed with your application.
Interested ? Kindly go to this link and apply:
https://connect.appen.com/qrp/public/jobs?sref=5b5a1783c03b565385c1e46e068d8764
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Desired profile
Must be a resident of the country you applied for
Ability to work independently with minimal supervision
Possess a high-speed internet connection (Cable Modem, Fiber, DSL, etc.)
Fluency on the language of the project you applied for
Android Phone or iPhone
Ability to purchase between $10-$1000 USD of products with your own funds.
About Appen
Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video.
We have deep expertise in more than 180 languages and dialects, and access to a global crowd of over 400,000 skilled contractors.
Appen partners with leading technology, automotive and eCommerce companies ā as well as governments worldwide ā to help them develop, enhance and use products that rely on natural languages and machine learning.