ZipRecruiter

Log In

2

Remote Pca Jobs in Seattle, WA (NOW HIRING)

All JobsRemote Pca JobsRemote Pca Jobs in Seattle, WA

Remote Pca information

See Seattle, WA salary details

$18.4K

$67.5K

$179.1K

How much do remote pca jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote pca in Seattle, WA is $67,536.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,222.00 and $96,325.00 per year, depending on experience, location, and employer.

What jobs pay 4000 a week without a degree?

Remote PCAs (Personal Care Assistants) typically do not earn $4,000 per week without additional certifications or specialized skills. High-paying roles that can reach this level often involve sales, real estate, freelance consulting, or skilled trades, which may require experience or licensing but not necessarily a degree. These roles often depend on performance, commissions, or project-based income.

How can I make 2000 a week working from home?

A remote PCA (Personal Care Assistant) can increase earnings by working multiple shifts, gaining specialized certifications, or working for multiple clients simultaneously. Building a flexible schedule and developing strong caregiving skills can help maximize weekly income, but earning $2000 consistently may require combining several part-time or freelance caregiving roles.

What are the key skills and qualifications needed to thrive in the Remote Pca position, and why are they important?

To excel as a Remote PCA (Personal Care Assistant), you need a background in caregiving, basic medical knowledge, and, often, a high school diploma or relevant certification in personal care or home health assistance. Familiarity with telehealth platforms, digital timekeeping systems, and electronic documentation tools is commonly required. Strong communication, patience, empathy, and the ability to stay organized when working independently make you stand out in this role. These skills are crucial because remote PCAs must deliver quality care and support while ensuring client safety and well-being without direct, in-person supervision.

What are the typical daily responsibilities of a Remote PCA and how is the work structured?

As a Remote PCA, your daily responsibilities may include assisting clients with personal care routines via video or phone calls, providing medication or activity reminders, tracking health-related data, and supporting clients with companionship and emotional well-being. You may also help coordinate appointments, communicate with family members or healthcare professionals, and update client care records electronically. The work is often structured around client schedules and may involve working independently while maintaining regular check-ins with supervisors or care coordinators. This setup allows for flexibility but requires excellent organizational and communication skills to ensure clients receive attentive, high-quality care.

What is a Remote PCA job?

A Remote PCA (Personal Care Assistant) job involves providing virtual support to individuals who require assistance with daily living activities. This may include scheduling medical appointments, offering reminders for medications, providing companionship through virtual check-ins, or coordinating in-home care services. Unlike traditional PCAs who provide hands-on assistance, remote PCAs primarily support clients through phone calls, video chats, or online platforms. This role is ideal for those who want to help others while working from home.

What is a remote PCA?

A remote PCA (Personal Care Assistant) provides personal care services to clients in their homes or virtually, often through telehealth platforms. They assist with daily activities such as bathing, dressing, and medication management, typically requiring good communication skills and basic caregiving certifications. Working remotely allows flexibility in scheduling and location, but may involve supervision or training requirements depending on the employer.

Can a PCA work from home?

A Personal Care Assistant (PCA) typically provides in-person support to clients and usually works on-site in homes or care facilities. While some administrative or training tasks related to PCA work can be done remotely, direct caregiving generally requires physical presence to assist with daily activities and health needs.
What are the most commonly searched types of Pca jobs in Seattle, WA? The most popular types of Pca jobs in Seattle, WA are:
What are popular job titles related to Remote Pca jobs in Seattle, WA? For Remote Pca jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Pca jobs in Seattle, WA look for? The top searched job categories for Remote Pca jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Remote Pca jobs? Cities near Seattle, WA with the most Remote Pca job openings:
Remote Pca jobs near you
Staff Research Scientist (AdTech/Recommendation Systems)

Staff Research Scientist (AdTech/Recommendation Systems)

Cognitiv

Bellevue, WA • On-site, Remote

$200K - $270K/yr

Other

Posted 12 days ago

Job description

The Role

We are seeking a Staff Research Scientist who can drive innovation through deep technical expertise and hands-on execution. You'll contribute to cutting-edge research in deep learning and LLMs while advancing Cognitiv's real-time bidding and recommendation systems at production scale. This role sits at the intersection of applied research and high-performance machine learning systems.

Location: This position will be located in Bellevue, WA office with a hybrid work schedule of 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

What You'll Do
  • Drive Research & Innovation. Design, prototype, and evaluate advanced machine learning and deep learning approaches, with a focus on recommendation systems, real-time bidding, and LLM-driven applications.
  • Stay Hands-On. Contribute directly through coding, experimentation, model development, and technical problem-solving across the full ML lifecycle.
  • Advance AdTech Performance. Improve model accuracy, scalability, and efficiency to drive ad targeting, bidding performance, and audience relevance.
  • Build Production-Ready ML Systems. Partner closely with engineering and infrastructure teams to deploy, optimize, and monitor machine learning models in large-scale production environments.
  • Explore Emerging Technologies. Stay current with advancements in deep learning, transformers, and LLM research, identifying practical opportunities to apply new techniques within Cognitiv's platform.
  • Collaborate Cross-Functionally. Work closely with data science, engineering, product, and platform teams to solve complex technical challenges and deliver impactful ML solutions.
  • Contribute Technical Expertise. Provide thoughtful technical input through design discussions, experimentation reviews, and collaboration with other researchers and engineers.
Tech Stack
  • Core Tools - Python, PyTorch, deep learning architectures (transformers, recommendation models).
  • Traditional ML - XGBoost, PCA.
  • Big Data / Infra - Spark, Hadoop, distributed training systems.
  • Cloud Platforms - AWS, GCP, or Azure.
  • Bonus - C++.
Who You Are
  • Experienced ML Researcher/Engineer: Master's or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with 5-7+ years of experience in machine learning R&D or applied ML.
  • Deep Learning & LLM Expertise: Strong technical expertise in PyTorch, transformers, and Large Language Models (LLMs), including large-scale training, fine-tuning, and optimization of deep neural networks.
  • Machine Learning Breadth: Strong understanding of both deep learning and traditional ML techniques (e.g., XGBoost, PCA), with the ability to apply the right approach to the right problem.
  • Engineering Excellence: Proficiency in Python with strong foundations in algorithms, data structures, and software engineering principles; experience building models in real-time, high-throughput systems (e.g., recommender systems, adtech).
  • Production Experience: Hands-on experience developing, deploying, and optimizing machine learning models in production environments, including distributed systems, cloud platforms (AWS, GCP, Azure), and big data frameworks (Hadoop, Spark).
  • Collaborative Communicator: Strong written and verbal communication skills with the ability to work effectively across research and engineering teams in a fast-paced environment.
Bonus Points If You Have
  • AdTech & RTB Experience. Prior exposure to advertising technology and real-time bidding (RTB) systems is a strong plus.
  • Distributed Systems & Cloud. Familiarity with big data frameworks (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
  • C++ Skills. Strong C++ programming ability is a significant advantage alongside Python expertise.
  • Research & Community Impact. A track record of published research or meaningful contributions to the machine learning community.
  • Bridging Research and Production. Experience translating research ideas into scalable, production-grade machine learning systems.

Salary: $200,000 - $270,000 USD Base Salary + Equity

Apply