Easy, Online Job Opportunity Anywhere in Hong Kong | Web Search Evaluator
Appen
- Company Industries:Others
Job Information
- Post Date:2018-03-06
- Location:Not Specified
- Salary:Salary provided
- Employment Type:Part Time
- Job Function:Technical Writing Others Student / Fresh Graduate / No Experience
Job Description
Appen Web Search Evaluators perform basic online tasks to evaluate the quality and relevance of internet-based search results, advertisements and/or web page content. This position helps to ensure that people around the world are presented the most effective and relevant data possible when searching for information on the internet. In other words, your input counts in creating a better user experience for people looking for data online around the globe.
The Web Search Evaluator position is a part-time, work-from-home opportunity where all you need is a computer, sound card with speakers, high-speed internet connection and experience searching for information on the internet to get the job done.
These are entry-level positions that will allow the Web Search Evaluator to learn new technologies and receive income while helping improve the quality and relevancy of search returns!
Don’t miss this opportunity to be part of Appen’s rapidly growing global Web Search Evaluation services providing critical data for the world’s top internet search engine companies!
Work Schedule:
· The Web Search Evaluator positions are flexible, part-time and up to 4 hours a day - 5 days a week!
Requirements:
· Must be currently residing in and able to perform work tasks in Hong Kong
· Proficient in written English and Chinese simplified language skills
· Access to a computer that is less than 3 years old with a sound card and speakers
· High-speed internet connection with experience using the internet and performing searches
· Ability to read and write in English to understand and perform work tasks to customer specifications
Characteristics for Success:
· Ability and desire to work from home doing internet-based work
· Basic level of computer operational knowledge
· Ability and willingness to comprehend and follow instructions independently
· Experience as a freelancer or other work-from-home opportunities
· Experience using the internet and performing searches
Compensation:
· Dependent upon project
Appen Rewards and Recognition:
FlexJobs – Recognized by FlexJobs as a Top 100 Company to Watch for Remote Jobs in 2014, 2015, 2016, 2017 including the #1 Ranking in 2017!
Deloitte Technology Fast 50 – Three-time winner in the Deloitte Technology Fast 50 Australia Awards from 2012 through 2014.
Momentum Mid-Market Awards – Finalist in the BRW Momentum Awards for Best Mid-Market Business $50-$100MM Category. In addition, Appen was a finalist in the 2014 Australian Growth Technology Company Awards.
Australian Export Rewards – Inaugural winner in 2008 of the Prime Minister’s Exporter of the Year Award and Australian Export Category winner, Information and Communication Technology Award.
Appen’s clients are the top technology companies in the world. We are a global technology and language consulting firm, operating in 180 languages and we staff projects ranging in size from under one hundred to thousands of remote workers around the globe. Appen’s work provides the critical data our clients need to improve the technology experience in many platforms for all users.
Note: Appen is actively hiring for many clients. We have other opportunities which may be contractor or employee status, or have different schedules and requirements. Our team will evaluate your application and review all positions that might be a quality fit based on your skills and experience. To see all our work opportunities, please visit join.appen.com.
Company Info
Appen is a global leader in the development of high-quality, human annotated datasets for machine learning and artificial intelligence. With over 20 years of experience, expertise in more than 180 languages, and access to a global crowd of over 400,000, Appen partners with leading technology companies to enhance their machine learning-based products.
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