• Social Media Evaluator – Online Part-time Job
    • Part Time
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Job Description

Do you love social media and want to influence how we interact with technology? As a Social Media Evaluator with Appen, you have the opportunity to provide feedback on news feeds, advertisements and search results. Your ideas have a direct impact on the services and content from social media sites that we use every single day.

You Might Fit This Role If:
• You are looking for a flexible work opportunity where you contribute to projects and grow your skills
• You are an active and engaged user on social media platforms such as Facebook and Instagram
• You enjoy working independently
• You want to do internet-based work from home

Work Schedule:
• Social Media Evaluator positions are part-time (up to 20 hours per week) and highly flexible
• The usual position requires 1-4 hours of work per day, 5-7 days a week

Minimum Qualifications:
• Currently living in and legally permitted to work in Austria
• Access to a computer with a sound card and speakers, and/ or access to a smartphone that is less than three years old
• Access to a secure high-speed internet connection and quiet non-public workspace
• Good English writing skills
• Ability to work with applications, troubleshoot software, and execute instructions independently

We take pride in our diverse team and our flexible work opportunities, and as a publicly traded company our efforts and earned us the first place ranking in the FlexJobs Top 100 Companies index. Deloitte also recognized Appen with the 2017 Asia Pacific Technology Fast 500 and the Technology Fast 50 Australia awards.

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.


About Appen

Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. With a crowd of 1,000,000+ people in over 130 countries working in more than 180 languages and dialects, we help ramp up resources so our clients get the training data they need for machine learning and AI. We’ve built a strong reputation as a provider of high-quality datasets that meet the specific needs of our clients and fuel their machine learning and artificial intelligence initiatives.
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