Appen is an app-driven enterprise that provides innovative technology solutions, products, and services to companies around the world. Founded in 1996, Appen has grown to become a global leader in the development of artificial intelligence (AI), machine learning (ML), natural language processing (NLP), data science, and other cutting-edge technologies and services. With offices in more than 100 countries, Appen provides an unrivaled network of real-world experts, technology professionals, and AI developers.
Appen designs and implements innovative technology solutions, products, and services to support the global organizations they serve. Appen’s extensive portfolio of AI, ML, and NLP solutions span from AI-driven voice assistants to natural language processing tools. Appen’s products and services are world-class, allowing organizations to leverage the latest technologies for their organizations. Appen’s interdisciplinary, technical engineering staff works with customers to develop the custom AI, ML, and NLP solutions that fit their precise business needs.
Appen’s technology solutions are all developed with the customer in mind and remain secure and dependable. Appen’s purpose-built systems are focused on secure data handling, scalability, and data privacy, allowing customers to trust critical technology solutions. Appen’s team of engineers, data scientists, AI developers and other specialists have broad expertise in designing end-to-end technology solutions tailored to the customer’s exact requirements.
At Appen, technology professionals and AI developers can grow their skills and experience in the latest technologies. Appen offers support and guidance throughout the project lifecycle to help professionals build their technology and AI experience. Appen’s network of professionals provides the support needed to ensure successful solutions.
With a global community of technology and AI professionals and a solid vision, Appen is committed to building innovative technology solutions that fit the unique needs of their partners and clients.
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Data Scientist
Average Work Hours (weekly unless noted): 30-40
Average Salary (yearly in dollars unless noted): 95000
Description: Design and create data-analytic applications for Appen's clients. Collaborate with engineers and product managers to design, implement, and launch data-analytic applications and collaborate on customer-facing components of the applications. Define and develop strategies to simplify and improve the accuracy of data-analytic applications.
Qualifications / Requirements: Advanced knowledge of mathematics, statistics, data analysis, and machine learning algorithms. Familiarity with programming language such as Python, R, and Java. Experience in data mining and data visualization tools. Strong analytical and problem-solving skills.
Working at Appen has been an invaluable experience for my career growth. The support and mentorship I have received from my manager, the resources available for team members, and the amazing feedback from customers have all contributed to my personal growth. I have been able to advance from a technical position to a leadership role through the opportunities provided by Appen, and I am very thankful for that.
Diana.
Review Rating:
4.9/5
4.9
I’ve been part of Appen for almost four years and it’s been a great professional and personal experience. I’ve been lucky to collaborate with talented and highly competent people in different fields. Management is always open to taking into account the employees’ ideas in order to improve the functioning of the company. It is also great to be part of an international work environment and to work with different cultures and backgrounds.
James.
Review Rating:
4.7/5
4.7
Working at Appen has been one of the most rewarding, enjoyable and challenging experiences. The team has taught me all the skills I need to become the best techie I can be, and the job itself has been a fun ride. I'm grateful for the opportunity, and I highly recommend Appen as a place to work.
Fen.
Review Rating:
5/5
5
Working at Appen has been a great experience. The team is always supportive and highly knowledgeable and they make sure you're up to date with all industry changes and trends. The culture is also super collaborative and there are plenty of opportunities to learn within the company. I'm looking forward to many great years with Appen.
Cynthia.
Review Rating:
4.5/5
4.5
I’ve been with Appen for almost two years now and have had an incredible experience so far. The team is highly professional and always available to support and help out. Working at Appen has allowed me to learn and develop my skills in the field of programming, design and IT. It's a great place to work and I highly recommend it.
Frequently Asked Questions
What is a linguist?
A linguist is someone who has an advanced understanding of one or more languages and provides expertise in language and characterization activities.
What does a social media evaluator do?
A social media evaluator evaluates social media and online content to ensure the quality and relevance of content is up to company standards.
What skills are needed to be a data specialist?
Data specialists should have strong critical thinking and analytical skills, as well as knowledge of programming languages and/or scripting methods. It also helps to understand data analysis fundamentals, have an aptitude for problem solving, and be familiar with data visualization.
What is a search engine evaluator?
A search engine evaluator is someone who provides feedback on search engine results page content, relevance, and quality in order to help improve overall user experience.
What qualifications are needed to be a search engine evaluator?
Previous internet search experience and knowledge of web searching usage is helpful but not required. Appen also looks for strong analytical skills and excellent language and comprehension skills.
Locations: Sydney, Tokyo, Edinburgh, Zagreb, Mumbai, Manila, Beijing, Vancouver, Montreal, Belgrade
Career Paths: Data Analyst, Machine Learning Engineer, Software Engineer, Quality Assurance Engineer, Project Manager, Speech Language Pathologist, Research Analyst, Natural Language Processing Engineer, Technical Support Engineer, Data Scientist.
Working at Appen has been an invaluable experience for my career growth. The support and mentorship I have received from my manager, the resources available for team members, and the amazing feedback from customers have all contributed to my personal growth. I have been able to advance from a technical position to a leadership role through the opportunities provided by Appen, and I am very thankful for that.