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Remote Eye Tracking Jobs in Wisconsin (NOW HIRING)

$52 - $71.25/hr

This position requires a keen eye for detail to ensure consistency in provisioning and high ... Improve the use of tracking metrics to better understand usage patterns * Work with the software ...

Remote Eye Tracking information

What is the difference between Remote Eye Tracking vs Remote User Experience Researcher?

AspectRemote Eye TrackingRemote User Experience Researcher
CredentialsTypically requires knowledge of eye tracking technology, data analysis, and psychology or human factorsRequires skills in research methods, data analysis, psychology, and user-centered design
Work EnvironmentUses specialized eye tracking hardware/software, often in controlled or remote testing setupsConducts interviews, surveys, and usability tests remotely or in person
Industry UsagePrimarily in UX/UI testing, cognitive research, and product developmentIn diverse industries like tech, marketing, and healthcare for user insights

Remote Eye Tracking focuses on capturing visual attention and gaze patterns using specialized hardware, while Remote User Experience Researchers gather broader user insights through various research methods. Both roles support UX improvements but differ in tools and scope.

What are some common challenges faced by professionals working in remote eye tracking roles, and how can they be addressed?

Professionals in remote eye tracking often encounter challenges such as ensuring data accuracy across different devices and environments, addressing privacy concerns, and troubleshooting technical issues remotely. To address these, it's important to stay updated on the latest eye tracking software and hardware standards, maintain clear communication with participants or clients, and develop strong problem-solving skills for remote diagnostics. Additionally, collaborating closely with UX researchers, developers, or clients helps ensure successful project outcomes and continuous improvement.

What is remote eye tracking?

Remote eye tracking is a technology that allows for the measurement of where a person is looking (their gaze) on a screen or in a real-world environment without requiring them to wear any specialized headgear or glasses. Instead, a camera—often integrated into a monitor or placed nearby—captures eye movements from a distance. This method is widely used in research, usability testing, marketing, and healthcare to understand visual attention and user behavior. Remote eye tracking is non-intrusive and can be used with participants of all ages, providing valuable insights while maintaining comfort.

What are the key skills and qualifications needed to thrive as a Remote Eye Tracking Specialist, and why are they important?

To excel as a Remote Eye Tracking Specialist, you typically need a background in psychology, neuroscience, human-computer interaction, or a related field, along with strong data analysis skills. Familiarity with eye tracking software (such as Tobii Pro or EyeLink), data visualization tools, and possibly programming languages like Python or MATLAB is valuable. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with research teams or clients. These competencies are essential for producing accurate, meaningful insights that drive user experience improvements and scientific research.
What cities in Wisconsin are hiring for Remote Eye Tracking jobs? Cities in Wisconsin with the most Remote Eye Tracking job openings:

Kubernetes DevOps Engineer (Remote)

Tartan Solutions

Milwaukee, WI • On-site, Remote

$52 - $71.25/hr

Full-time

Posted 2 days ago


Job description

We are looking for an experienced DevOps Engineers interested in building, maintaining, and scaling PlaidCloud on Kubernetes. This position requires a keen eye for detail to ensure consistency in provisioning and high availability of resources.
The position is also responsible for supporting many customer deployments through Kubernetes automation such as use of HPAs and VPAs to ensure good resource usage while maintaining a highly responsive system.
Key responsibilities include:
  • Staging servers and automated provisioning for Kubernetes cluster
  • Utilize ArgoCD ApplicationSets to manage many isolated deployments
  • Monitoring and managing databases and file backups using disk snapshots, Google Cloud Storage, and other approaches
  • Automate restoration of databases and backups
  • Monitoring and managing RabbitMQ in a high availability configuration
  • Managing and monitoring a Greenplum database clusters in a high availability shared nothing configuration
  • Managing and monitoring Redis in a high availability configuration
  • Monitoring server performance and optimizing server selection and cost
  • Deploy new machines as required to meet demand. Automate where possible.
  • Manage SSL certificates, firewalls, load balancers, and other infrastructure through our infrastructure provider
  • Monitor and test system intrusion processes
  • Manage and configure DoS prevention tools
  • Make recommendations and work with software development teams to improve infrastructure usage and simplify design where possible
  • Deploy and improve logging and monitoring metrics to support insight and prioritize engineering changes
  • Improve the use of tracking metrics to better understand usage patterns
  • Work with the software development teams to close testing gaps and support continuous integration processes
  • Ensure a Kubernetes first approach with highly automated processes, best practices, and good resource usage

Ideal Qualifications
  • Strong familiarity with DevOps processes and approaches, especially with GitOps Kubernetes solutions
  • Experience with deployment tools and deployment automation
  • Strong understanding of Linux/Unix configuration processes
  • Strong understanding of security best practices
  • Strong understanding of Jenkins and Github Actions automation pipelines
  • Strong written communications skills

Bonus Qualifications
  • Experience with ArgoCD
  • Experience with Google Kubernetes Engine (GKE)
  • Experience with Greenplum databases
  • Experience with Python
  • Experience with Redis
  • Experience with RabbitMQ
  • Experience with Apache Superset
  • Experience with network and web application security
  • Experience with Git/GitHub automation