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Computer Vision Remote Jobs in Tacoma, WA (NOW HIRING)

Directive

B2B Marketing Manager(Remote US)

Seattle, WA · Remote

$80K - $85K/yr

... vision plans, disability, and life insurance coverage for you and your family that fit your ... In this role, you will be required to operate a laptop computer (PC or Mac available), computer ...

Sensibly Sprouted

Registered Dietitian - Remote

Seattle, WA · Remote

$35.50 - $47.75/hr

... computer literacy. * Adaptability and professionalism in balancing patient care, administrative tasks, and professional development. * Demonstrated alignment with Sensibly Sprouted's mission, vision ...

Sensibly Sprouted

Registered Dietitian - Remote

Seattle, WA · On-site +1

$60K - $90K/yr

... computer literacy. * Adaptability and professionalism in balancing patient care, administrative tasks, and professional development. * Demonstrated alignment with Sensibly Sprouted's mission, vision ...

NextDeavor Inc.

WAF Adversarial Engineer

Seattle, WA · On-site +1

$56.34 - $70.42/hr

... vision and dental benefits for contract employees Paid sick leave eligibility is contingent on ... This role is hybrid/remote with Seattle preferred and open to remote candidates. Here's How You'll ...

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Computer Vision Remote information

See Tacoma, WA salary details

$13

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$33

How much do computer vision remote jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for computer vision remote in Tacoma, WA is $22.39, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $25.05 per hour, depending on experience, location, and employer.

What is a computer vision remote?

A Computer Vision Remote job involves developing and implementing computer vision algorithms and models while working from a remote location. Professionals in this role work on tasks like image recognition, object detection, and video analysis using AI and machine learning. They collaborate with teams via online communication tools and use cloud platforms or local computing resources for model training. These jobs are common in industries like healthcare, robotics, and autonomous systems.

What are the key skills and qualifications needed to thrive in computer vision remote?

Success as a Computer Vision Remote professional requires expertise in computer vision algorithms, image processing, programming (Python/C++), and a degree in computer science or a related field. Familiarity with popular frameworks such as OpenCV, TensorFlow, or PyTorch, and sometimes certifications in AI or data science, are typically advantageous. Strong communication, self-motivation, and problem-solving skills help remote workers collaborate effectively across distributed teams. These competencies are crucial for delivering high-quality solutions, meeting project deadlines, and excelling in a remote-first work environment.

What are some common challenges faced by remote computer vision professionals, and how are they addressed?

Remote computer vision professionals often encounter challenges such as collaborating across different time zones, accessing large datasets securely, and maintaining consistent communication with onsite teams. These challenges are typically overcome by using version control systems like Git, cloud storage solutions, and regular video meetings to stay connected and ensure alignment. Teams also rely on detailed documentation and code reviews to maintain project quality and foster knowledge sharing. By adopting these best practices, remote professionals can contribute effectively and remain engaged with their team and projects.

What are popular job titles related to Computer Vision Remote jobs in Tacoma, WA? For Computer Vision Remote jobs in Tacoma, WA, the most frequently searched job titles are:
What job categories do people searching Computer Vision Remote jobs in Tacoma, WA look for? The top searched job categories for Computer Vision Remote jobs in Tacoma, WA are:
What cities near Tacoma, WA are hiring for Computer Vision Remote jobs? Cities near Tacoma, WA with the most Computer Vision Remote job openings:
Computer Vision Remote jobs near you
Infographic showing various Computer Vision Remote job openings in Tacoma, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $46,578 per year, or $22.4 per hour.

Staff Software Engineer, AI Platform (US - Remote or Calgary)

Syndio

Seattle, WA • Remote

$225K/yr

Full-time

Posted 10 days ago

Job description

Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees?

Syndio is the leading pay governance and compensation intelligence platform. We help organizations make better pay decisions at every stage of the compensation lifecycle, from leveling and offers to promotions and merit. Our platform gives HR, compensation, and finance leaders the data and decision support they need to govern pay fairly, compliantly, and with confidence. We partner with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance and analyzing pay for over 10 million employees across the world.

Join us in our mission to help companies make smarter pay decisions they can trust!

About the Role:

Syndi is Syndio's AI platform — one shared agent experience (in-product chat, Slack, Teams) serving our product lines, built on syndi-api: an agent runtime owning orchestration, tool calling, memory, RAG, evals, and observability, live in production today. The platform is young (v1 shipped this quarter), moving fast, and designed around a clear operating model: product teams contribute domain content through APIs, evals, and knowledge — the platform owns the experience.

We're hiring a staff-level engineer to take ownership of major runtime surfaces and grow into a technical owner of the platform. This is a high-autonomy role on a small team (3–4 engineers): you'll design, ship, and operate systems end-to-end, and you'll work directly with product-team owners through the platform's contribution seams.

What You'll Work On
  • Core runtime surfaces of syndi-api: the agent loop, tool execution and registry, memory, context management (Python, Postgres, Claude on Vertex, GCP).
  • The eval system — offline gates and online detector/judge evals written onto production traces — and its growth as product teams adopt it.
  • Production operation: observability (Datadog LLM Obs), incident response, the reliability of an agent surface real customers use.
  • The platform's contribution seams: reviewing product teams' tool wrappers and evals, evolving the GET /tools registry and drift-detection contract.
  • Clarifying, designing, and implementing compliance and legal requirements for Syndi.
What We're Looking For
  • 5+ years building production backend systems; deep comfort with Python, relational stores, and cloud infra (we're on GCP/Kubernetes).
  • You've built LLM-powered systems in production — an agent loop, tool-calling integration, RAG, or eval infrastructure — and have opinions from the scar tissue.
  • You design for operability: legal compliance, tracing, evals, and kill switches are part of the feature, not afterthoughts.
  • You can own a technical domain with light supervision: propose direction in writing with clear API specs, take review, ship, and carry the pager for what you shipped.
  • Strong written communication — our operating model runs on design docs and PR review across team boundaries.
  • Nice to have: experience being the platform side of a platform/product relationship; SSE/streaming systems; compliance-adjacent engineering (data minimization, auditability); prior Staff scope.
Why you'll love it here:
  • ???? Competitive Compensation. For this role our salary is targeted at $205-225k USD or $180-200k CAD per year. Final offer amounts are determined by factors such as experience and expertise.
  • ???? Syndio Equity. So you can share in Syndio's success
  • ???? Flexible Vacation Policy. We encourage our team to recharge when they need to (up to 20 days PTO in Canada) plus paid sick & safe time, compassion leave, and voting leave.
  • ???? Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
  • ???? Life Insurance & Disability. Syndio covers the full premium.
  • ????Remote-first in US + Alberta; in Calgary, non-mandatory office available #LI-Remote
Role Progession
  • First 30 days: Focus on onboarding, mastering our core agent runtime surfaces, and shipping a small-scale contribution to understand the platform's contribution seams.
  • First 60 days: Independently manage core runtime surfaces, troubleshoot complex issues, and start co-owning a consumer team's integration from API design to eval sign-off.
  • First 90 days: Concretely ship a major runtime capability end-to-end (e.g., multimodal input or a new channel surface), take on-call for the platform, and co-own a consumer team's integration from API design to eval sign-off.
The interview overview

Below you'll find an outline of the interview plan for our Staff Software Engineer (AI Platform) position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

  1. Recruiter Screen (25 min)
  2. Meet the Hiring Manager (30 min)
  3. Technical Discussion - LLMs (60 min)
  4. Take-Home Assignment
  5. THA Exercise Review (60 min)
  6. Technical Discussion - Architecture/Engineering (60 min)
  7. Executive Interview (30 min)

At Syndio, we're building a diverse team that values candor, curiosity, and community. If you share these values and are interested in joining us, we'd love to talk with you even if you don't 100% meet the "about you" listed here. We don't expect anyone to have all the answers, as long as you're willing to learn and grow with us.

Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.