Data Engineer (Chaos Research Institute)
The purpose of the Chaos Institute is to provide background information and tools to help people solve the difficult problems they experience in their daily lives. There’s a reason why these problems are so challenging: we’ve been trained to think in ways that aren’t very compatible with complexity. New ways of thinking are being developed that are much more useful for dealing with complexity at all levels of scale, from family issues to international disputes. On this website you’ll learn a bit about how our thinking has been shaped by science, and how the new sciences of chaos and complexity theories, along with systems thinking, are generating approaches that are more effective in handling such issues. If you use the information on this site and make an effort to learn about complexity, you’ll find yourself developing new capacities for problem-solving.
The Chaos Institute was created by Jo Vanderkloot and Judy Kirmmse: we are two friends and collaborators who share an interest in solving complex problems using tools derived from these models. Separately and together we have honed this approach working with families and workplaces. We are eager to share what we’ve learned and to dialogue on our blog about difficult problems our readers are facing. Here is our background.
Responsibilities
- Be responsible for collecting, sorting, classifying and labeling massive images and data.
- Be responsible for automatic processing of massive data and images, and be familiar with various automatic processing and labeling tools.
- Familiar with video production, image and data noise processing.
Qualifications
- Bachelor's degree or above, more than 5 years of development experience.
- Be responsible for the design and development of crawler architecture, design of search strategy, algorithm, data clustering and other data collation and development work.
- Familiar with common network development protocols, including TCP, UDP, HTTP, JSON, XML, HTML and other network communication protocols.
- Be familiar with various video and image processing tools such as video production and image cutting.
- Have the spirit of technical study, team cooperation and strong self-driving learning ability.
To apply, please submit your resume to resume@alariss.com and note why you believe you'd be a good fit.