Appen Named #1 Company to Watch for Remote Jobs in 2019 by FlexJobs
Appen ranks top among companies hiring remote workers
Sydney, NSW, Australia, January 18, 2019 — Appen is proud to announce that we have been ranked #1 on the FlexJobs’ annual list of the Top 100 Companies to Watch for Remote Jobs in 2019. This list is based on an analysis of over 51,000 companies and their remote job posting histories in the FlexJobs database to identify the top 100 companies with the highest number of remote job openings during 2018. To be considered, the jobs offered by these companies had to be remote-friendly, either allowing for candidates to telecommute entirely or part of the time.
“It’s an honor to once again be recognized by FlexJobs as the leader in remote work opportunities,” said Mark Brayan, chief executive officer at Appen. “We are proud to offer a variety of flexible, work-from-home opportunities to thousands of people around the world, while supporting the rapidly growing machine learning and artificial intelligence markets.”
Appen has been named on the list for the past five consecutive years, and is ranking #1 for the second time. We hire a wide range of jobs with remote work options, such as internet analysts, social media evaluators, and transcribers. Overall, FlexJobs’ list represents more than 15 industries and are headquartered across 11 different countries.
“As we saw in the latter part of 2018, we expect 2019 to continue to be a job seeker’s market where companies will need to offer flexible/remote benefits to remain competitive and attract and retain the best talent,” said Sara Sutton, founder and CEO of FlexJobs. “As this list demonstrates, companies of all sizes and across all industries can adopt work-from-home and flexible work policies to meet the changing demands of the workforce,” Sutton concluded.
To view the entire 2019 Top 100 Companies for Remote Jobs list, please visit https://www.flexjobs.com/blog/post/100-top-companies-with-remote-jobs-in-2019/
For additional information please contact Jodie Ruby at email@example.com or FlexJobs’ PR Manager Katie Gilronan at firstname.lastname@example.org.
Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image, and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.
As a winner of the FlexJobs “100 Top Companies to Watch for Remote Jobs” for the past five consecutive years, Appen prides itself as a provider of part-time, flexible work-from-home opportunities to people all over the world.
FlexJobs is the leading online service for professionals seeking telecommuting, flexible schedule, part-time, and freelance jobs. With flexible job listings in over 50 career categories, and opportunities ranging from entry-level to executive and freelance to full-time, FlexJobs offers job seekers a safe, easy, and efficient way to find professional and legitimate flexible job listings. Having helped over 3 million people in their job searches, FlexJobs has appeared on CNN and Marketplace Money and in TIME, Forbes, Fortune, and hundreds of other trusted media outlets. FlexJobs’ founder and CEO Sara Sutton has also launched two additional partner sites, Remote.co and 1 Million for Work Flexibility, to help provide education and awareness about the viability and benefits of remote working and work flexibility. Sutton is also the creator of The TRaD* Works Forum (*Telecommuting, Remote, & Distributed), dedicated to helping companies leverage the benefits of telecommuting, remote, and distributed teams.
Visit appen.com/jobs to see our available opportunities.
Contact us to learn more about human-annotated data solutions for machine learning and artificial intelligence.