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Live In Robot Jobs in Portland, OR (NOW HIRING)

Serve Robotics

VP of Security

Vancouver, WA · On-site +1

$240K - $300K/yr

Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics ...

Varsity Tutors

Robotics Tutor

Portland, OR · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Robotics Tutor * Advanced Subject Mastery: Deep knowledge of robotics ...

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All JobsLive In Robot JobsLive In Robot Jobs in Portland, OR

Live In Robot information

See Portland, OR salary details

$16

$29

$48

How much do live in robot jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for live in robot in Portland, OR is $29.95, according to ZipRecruiter salary data. Most workers in this role earn between $23.46 and $34.90 per hour, depending on experience, location, and employer.

What jobs can robots do now?

Robots can perform a variety of jobs including manufacturing assembly, warehouse logistics, cleaning, and basic customer service. They are often used in environments requiring repetitive tasks, and operating them typically requires technical skills and familiarity with automation tools.

Could a robot believe in God?

A live-in robot, as a machine or AI, does not have consciousness or beliefs, including religious beliefs like belief in God. Robots operate based on programming and algorithms without personal experiences or spiritual awareness. Therefore, they cannot genuinely believe or hold religious convictions.

What 5 jobs will survive AI?

For a Live In Robot, jobs that require complex human interaction, creativity, and emotional intelligence are more likely to survive AI automation. These include healthcare professionals, skilled tradespeople, mental health counselors, educators, and roles involving strategic decision-making. Such jobs often require physical presence, empathy, and nuanced judgment that AI cannot easily replicate.

What is the difference between Live In Robot vs Live In Caregiver?

AspectLive In RobotLive In Caregiver
CredentialsNone required, technical skills preferredCPR certification, caregiving training often required
Work EnvironmentHome or facility, technology-drivenPrivate homes, healthcare settings
Employer & IndustryTech companies, healthcare, eldercareFamilies, healthcare providers
Primary RoleAssist with tasks, companionship, monitoringPersonal care, emotional support, daily assistance

While both Live In Robots and Live In Caregivers provide around-the-clock support, robots focus on automation, monitoring, and task assistance without emotional involvement. Caregivers offer personal, emotional, and physical support, often requiring certifications. Understanding these differences helps in choosing the right support for specific needs.

How far away are robot maids?

Robot maids or cleaning robots are currently available for home use and are typically sold through appliance or electronics retailers. They usually operate within a few meters of their charging stations and are designed for indoor environments, with some models capable of mapping and navigating multiple rooms. The development of fully autonomous, human-like robot maids is ongoing, but widespread deployment is still in progress.
What are popular job titles related to Live In Robot jobs in Portland, OR? For Live In Robot jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Live In Robot jobs in Portland, OR look for? The top searched job categories for Live In Robot jobs in Portland, OR are:
Live In Robot jobs near you
Software Engineer, ML Infrastructure

Software Engineer, ML Infrastructure

Serve Robotics

Vancouver, WA • On-site, Remote

$155K - $190K/yr

Full-time

Re-posted 18 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
As a Software Engineer on the Machine Learning (ML) Infrastructure team, you will help design, build, and maintain our petabyte-scale data and ML platform that powers data partnerships, ML research, and autonomy engineering. You will build and improve our data discovery capabilities and integrate with 3rd party annotation platforms. By collaborating with members of the autonomy and ml teams you will help us refine how we organize various data attributes and classifications. This role plays a pivotal role in helping the team leverage data from our rapidly expanding fleet of thousands of robots.
Responsibilities
  • Develop and maintain highly scalable data processing pipelines for data curation, annotation, search and ml feature extraction.
  • Build data discovery features for the platform.
  • Create and maintain search features such as natural language querying
  • Develop and maintain our orchestration and scheduling systems.
  • Maintain and evolve our data schemas such as unified data attribute system, scenario tagging and management
  • Build integrations with annotation providers to efficiently review large scale data preannotations
  • Collaborate with autonomy engineers to collect feedback, improve documentation, and run tutorials on platform features

Qualifications
  • BS or MS in computer science with focus in data engineering and/or machine learning
  • 3+ years of industry experience building, running and improving large-volume data processing, feature extraction, data annotation workflows
  • Experience building data mining and search capabilities
  • Experience with both Python and SQL is required
  • Solid understanding of data distributions and their impact on ML Models
  • Hands-on experience and good understanding of LLMs, VLMs, embeddings, vector databases
  • Experience with data annotation providers such as CVAT, LabelBox, LabelStudio, etc

What Makes You Stand Out
  • Experience with integrating cloud inference platforms for LLMs/VLMS (ChatGPT, Gemini, etc)
  • Experience working with Multi Modal data (Lidar, Camera, etc)
  • Experience with robotics systems
  • Experience optimizing large scale vector databases

Apply