Remote Computer Vision Jobs
This Year
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Paid Research Study for Developers with Machine Learning and AI Experience |
machine-learning computer-vision artificial-intelligence machine learning | Feb 14 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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User Research International is a research company based out of Redmond, Washington. Working with some of the biggest companies in the industry, we aim to improve your experience via paid research studies. Whether it be the latest video game or productivity tools, we value your feedback and experience. We are currently conducting a research study called ML/AI Decision Maker Study. We are looking for currently employed Full-Time Developers who are involved in purchasing data for machine learning purposes in their company. This study is a one-time Remote study via an online meeting. We’re offering $100 for remote and $175 for in-person participation in this study. Session lengths are 60-minutes. These studies provide a platform for our researchers to receive feedback for an existing or upcoming products or software. We have included the survey link for the study below. Taking the survey will help determine if you fit the profile requirements. Completing this survey does not guarantee you will be selected to participate. If it's a match, we'll reach out with a formal confirmation and any additional details you may need. I have summarized the study details below. In order to be considered, you must take the survey below. Thank you! Study: ML/AI Decision Maker Study Gratuity: $100 for Remote, $175 for In-Person Session Length: 60-minutes Location: Remote via Online Meeting or In-Person in Redmond, WA Dates: Available dates are located within the survey
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Don't see your role here? |
data science machine learning computer vision healthcare | Feb 03 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Don't quite see the role you're looking for? Labelbox is growing incredibly fast and we are posting new roles frequently. Send us your resume so we can keep you in the loop as we grow. About Labelbox Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more. The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Gradient Ventures (Google’s AI-focused venture fund), Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes.
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Marketing Operations Manager |
manager data science machine learning computer vision healthcare | Dec 18 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Labelbox is at the heart of the AI-powered computer vision revolution. Almost every decision a human makes is visual and these decisions power every industry, from healthcare to agriculture. With AI, computers can now see like humans and can make decisions in the same way. With this newfound capability, our society will build self-driving cars, accessible healthcare, automated farms that can support our global population, and much more. The bottleneck to achieving these things with AI is the training data sets. We are building Labelbox to solve this bottleneck for data science and machine learning teams. Current Labelbox customers include American Family Insurance, Lytx, Airbus, Genius Sports, Keeptruckin and more. Labelbox is venture backed by Google, Kleiner Perkins and First Round Capital and has been featured in Tech Crunch, Web Summit and Forbes. Labelbox is hiring a Marketing Operations Manager to join our growing Marketing team you will be responsible for managing our marketing and sales operations infrastructure. As an early marketing hire on our team, you will help:
The ideal candidate will have:
BONUS Points if you have experience working with data warehouses, Customer Data Platforms and DMPs. Expertise in each and every function is not required, we are looking for candidates who exhibit full-stack marketing knowledge and the aptitude to learn and develop skills. Labelbox is an equal opportunity employer. No sponsorship is available for this position. Valid US Work Authorization is required.
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Data Scientist |
python machine learning computer vision mongodb healthcare aws | Dec 12 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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We are looking for a talented Data Scientist to join our team at Prominent Edge. We are a small company of 24+ developers and designers who put themselves in the shoes of our customers and make sure we deliver strong solutions. Our projects and the needs of our customers vary greatly; therefore, we always choose the technology stack and approach that best suits the particular problem and the goals of our customers. As a result, we want developers who do high-quality work, stay current, and are up for learning and applying new technologies when appropriate. We want engineers who have an in-depth knowledge of Amazon Web Services and are up for using other infrastructures when needed. We understand that for our team to perform at its best, everyone needs to work on tasks that they enjoy. Most of our projects are web applications which and often have a geospatial aspect to them. We also really take care of our employees as demonstrated in our exceptional benefits package. Check out our website at http://prominentedge.com for more information and apply through http://prominentedge.com/careers. Ideal candidates are those who can find value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of the problem, and may even build AI/ML tools to make insights. The ideal candidate is adept at using large datasets to find the right needle in a pile of needles and uses models to test the effectiveness of different courses of action. Candidates must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large datasets and working with stakeholders to improve mission outcomes. A successful candidate will have experience in many (if not all) of the following technical competencies including: statistics and machine learning, coding languages, databases, and reporting technologies. Required Skills
Desired Skills
W2 Benefits
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Senior Python Developer |
python docker computer vision testing design | Oct 12 2019 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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CVEDIA is a funded AI company that develops deep learning solutions for some of the largest organizations on the planet. We develop dataset solutions for computer vision systems (imagery-based AI). Senior Python Developer to help design, build, and maintain a toolchain for synthetic dataset generation. In this role, you will have the opportunity of working in a team of exceptionally talented and driven individuals who are all making a massive impact on our business. There is no micromanaging or babysitting at CVEDIA, everyone here drives their own ideas all the way from start to finish, everyone is given an equal opportunity to flourish and see the fruits of their labour. Responsibilities
Requirements
What We Offer
Our Values 1. Passion - We need both energy and passion to develop cutting edge AI. To succeed at CVEDIA, you’ll need to have a strong investment in both your career and the role of AI in the future of the planet. 2. Commitment - CVEDIA has the opposite of a "quick-n-dirty" mentality. Every aspect of our technology has been meticulously built, and is always the product of very hard work. 3. Autonomy - Carrying confidence in the work we do individually is required to work at the pace that we do as a team. Academic research, tutorials, and even creating our own solutions with the tools we have are all on the board during a regular day's work. 4. Joy - It's one of our greatest strengths to bring excitement into our workplace. We carry this energy into meetings, project planning, and our dedication to our work, and focus on work that feels meaningful. 5. Communication - Honest discussions are imperative to the flow of work and ideas. Team members need to be able to effectively communicate complex ideas to those who don’t work in their field. It's a regular occurrence to spontaneously discuss plans and ideas with any team member on the fly, including our CEO or CTO. Each team member is respected equally and acts as a valuable contributor. How to Apply
For more information about us and to see our work, please check out cvedia.com
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