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Remote Software Qa Jobs in Novato, CA (NOW HIRING)

Fieldguide

Senior AI Engineer, Quality

San Francisco, CA · On-site +1

$200K - $250K/yr

... of assurance and audit practitioners specifically within cybersecurity, privacy, and financial ... Put simply, we build software for the people who enable trust between businesses. We're based in ...

Fieldguide

Senior AI Engineer, Quality

San Francisco, CA · Remote

$200K - $250K/yr

... of assurance and audit practitioners specifically within cybersecurity, privacy, and financial ... Put simply, we build software for the people who enable trust between businesses. We're based in ...

Kira

Senior Quality & Automation Engineer

San Francisco, CA · Remote

$90K - $122K/yr

This is not a traditional QA role. We are looking for a senior, pragmatic engineer who ensures high ... SDET roles * Strong experience with modern testing frameworks such as Playwright, Cypress, Jest ...

BuildOps

Staff Software Engineer

San Francisco, CA · On-site +1

$197K - $262K/yr

Work in tandem with the QA engineering team to ship high-precision, well-tested software. * Define and enforce testing strategies across both frontend and backend using tools such as Jest and React ...

Copper

Senior Software Engineer

Berkeley, CA · On-site +1

$175K - $190K/yr

As a Software Engineer, you'll help build and scale the software systems that connect our ... Support mobile releases and QA, with a bias toward automation and repeatable processes. * Ship high ...

New

Fuku

Software Engineer

San Francisco, CA · On-site +1

D esign, develop, and maintain high-quality software applications and systems. * C ollaborate with ... F lexible working hours and remote work options. * G enerous paid time off and holiday leave. * A ...

Fieldguide

Software Engineer (All Levels)

San Francisco, CA · On-site +1

$150K - $260K/yr

... quality results. We're a remote-first company headquartered in San Francisco, CA, backed by top ... Experience or familiarity with audit, assurance, or risk management domains * Shaping a new tech ...

Fieldguide

Software Engineer (All Levels)

San Francisco, CA · Remote

$150K - $260K/yr

... quality results. We're a remote-first company headquartered in San Francisco, CA, backed by top ... Experience or familiarity with audit, assurance, or risk management domains * Shaping a new tech ...

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All JobsSoftware Qa JobsRemote Software Qa JobsRemote Software Qa Jobs in Novato, CA

Remote Software Qa information

See Novato, CA salary details

$25.2K

$145.7K

$221.9K

How much do remote software qa jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote software qa in Novato, CA is $145,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,800.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a remote software QA?

A Remote Software QA (Quality Assurance) job involves testing software applications to identify and report bugs, ensuring they meet quality standards before release. QA professionals work from a remote location to execute test cases, automate testing processes, and collaborate with developers to resolve issues. They use various testing tools and methodologies to evaluate functionality, performance, security, and usability. Remote QA jobs require strong analytical skills, attention to detail, and effective communication to work with distributed teams.

What are the key skills and qualifications needed to thrive in the remote software QA position, and why are they important?

To thrive as a Remote Software QA, you need a solid grasp of software testing methodologies, attention to detail, and experience with quality assurance processes, often supported by a degree in computer science or a related field. Familiarity with test automation tools (like Selenium or Cypress), bug tracking systems (such as JIRA), and certifications like ISTQB can be highly beneficial. Excellent written communication, self-motivation, and strong collaboration skills are crucial for working effectively in a distributed team environment. These competencies ensure accurate defect identification, efficient workflow, and effective coordination, all of which are vital for delivering high-quality software in a remote setting.

What are some common challenges faced by remote software QA professionals, and how can they overcome them?

Remote Software QA professionals often face challenges such as communicating effectively with geographically dispersed teams and ensuring alignment on testing standards or project requirements. Staying organized and proactive through regular virtual meetings, detailed documentation, and clear status updates can help bridge communication gaps. Additionally, adapting to new tools for remote collaboration and test automation is key. Embracing a self-driven approach and seeking continuous feedback from colleagues can enhance both productivity and integration with development teams.

What are popular job titles related to Remote Software Qa jobs in Novato, CA?

For Remote Software Qa jobs in Novato, CA, the most frequently searched job titles are:

What cities near Novato, CA are hiring for Remote Software Qa jobs?

Cities near Novato, CA with the most Remote Software Qa job openings:

Remote Software Qa jobs near you
Infographic showing various Remote Software Qa job openings in Novato, CA as of August 2026, with employment types broken down into 84% Full Time, 4% Part Time, and 12% Contract. Highlights an 2% In-person, and 98% Remote job distribution, with an average salary of $145,729 per year, or $70.1 per hour.

Senior AI Engineer, Quality

Fieldguide

San Francisco, CA • On-site, Remote

$200K - $250K/yr

Full-time

Life, Retirement, PTO

Re-posted yesterday

Job description

About Us
Fieldguide is establishing a new state of trust for global commerce and capital markets through automating and streamlining the work of assurance and audit practitioners specifically within cybersecurity, privacy, and financial audit. Put simply, we build software for the people who enable trust between businesses.
We're based in San Francisco, CA, but built as a remote-first company that enables you to do your best work from anywhere. We're backed by top investors including Growth Equity at Goldman Sachs Alternatives, Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, DNX Ventures, Global Founders Capital, Justin Kan, Elad Gil, and more.
We value diversity - in backgrounds and in experiences. We need people from all backgrounds and walks of life to help build the future of audit and advisory. Fieldguide's team is inclusive, driven, humble and supportive. We are deliberate and self-reflective about the kind of team and culture that we are building, seeking teammates that are not only strong in their own aptitudes but care deeply about supporting each other's growth.
As an early stage start-up employee, you'll have the opportunity to build out the future of business trust. We make audit practitioners' lives easier by bringing together up to 50% of their work and giving them better work-life balance. If you share our values and enthusiasm for building a great culture and product, you will find a home at Fieldguide.
About the Role
Fieldguide is building AI agents for the most complex audit and advisory workflows. We're a San Francisco-based Vertical AI company building in a $100B+ market undergoing rapid transformation. Over 50 of the top 100 accounting and consulting firms trust us to power their most mission-critical work. We're backed by Bessemer Venture Partners, 8VC, Floodgate, Y Combinator, Elad Gil, and other top-tier investors.
As a Senior AI Engineer, Quality, you will own the evaluation infrastructure that ensures our AI agents perform reliably at enterprise scale. This role is 100% focused on making evaluations a first-class engineering capability: building the unified platform, automated pipelines, and production feedback loops that let us evaluate any new model against all critical workflows within hours. You'll work at the intersection of ML engineering, observability, and quality assurance to ensure our agents meet the rigorous standards our customers demand.
We're hiring across all levels. We'll calibrate seniority during interviews based on your background and what you're looking to own. This role is for engineers who value in-person collaboration at our San Francisco, CA office.
What You'll Own
Measurable AI Agents
  • Design and build a unified evaluation platform that serves as the single source of truth for all of our agentic systems and audit workflows
  • Build observability systems that surface agent behavior, trace execution, and failure modes in production, and feedback loops that turn production failures into first-class evaluation cases
  • Own the evaluation infrastructure stack including integration with LangSmith and LangGraph.
  • Translate customer problems into concrete agent behaviors and workflows
  • Integrate and orchestrate LLMs, tools, retrieval systems, and logic into cohesive, reliable agent experiences
Rapid Model Evaluation
  • Build automated pipelines that evaluate new models against all critical workflows within hours of release
  • Design evaluation harnesses for our most complex Agentic systems and workflows
  • Implement comparison frameworks that measure effectiveness, consistency, latency, and cost across model versions
  • Design guardrails and monitoring systems that catch quality regressions before they reach customers
AI-native engineering execution
  • Use AI as core leverage in how you design, build, test, and iterate
  • Prototype quickly to resolve uncertainty, then harden systems for enterprise-grade reliability
  • Build evaluations, feedback mechanisms, and guardrails so agents improve over time
  • Work with SMEs and ML Engineers to create evaluation datasets by curating production traces.
  • Design prompts, retrieval pipelines, and agent orchestration systems that perform reliably at scale
Ownership of Quality and Large Product Areas
  • Define and document evaluation standards, best practices, and processes for the engineering organization
  • Advocate for evaluation-driven development and make it easy for the team to write and run evals
  • Partner with product and ML engineers to integrate evaluation requirements into agent development from day one
  • Take full ownership of large product areas rather than executing on narrow tasks
Who You Are
You are an engineer who believes that evaluations are foundational to building reliable AI systems, not a nice-to-have. The following operating principles should resonate with you:
  • Evaluation-first mindset: You understand that for an AI company, not being able to evaluate a new model quickly is unacceptable
  • AI-native instincts: You treat LLMs, agents, and automation as fundamental building blocks and parts of the craft of engineering
  • Data-driven rigor: You make decisions based on metrics and are obsessed with measuring what matters
  • Production-oriented: You understand that evaluations must work on real production behavior, not just offline datasets
  • Strong product judgment: You can decide what matters and why, without waiting for guidance, not just how to implement it
  • Bias to building: You move fast and build working systems rather than perfect specifications
Experience
We care more about capability and trajectory than years on a resume, but most strong candidates will have:
  • Multiple years of experience shipping production software in complex, real-world systems
  • Experience with TypeScript, React, Python, and Postgres
  • Built and deployed LLM-powered features serving production traffic
  • Implemented evaluation frameworks for model outputs and agent behaviors
  • Designed observability or tracing infrastructure for AI/ML systems
  • Worked with vector databases, embedding models, and RAG architectures
  • Experience with evaluation platforms (LangSmith, Langfuse, or similar)
  • Comfort operating in ambiguity and taking responsibility for outcomes
  • Deep empathy for professional-grade, mission-critical software (experience with audit and accounting workflows are not required)
What Should Excite You
  • Agent reliability at enterprise scale: Building systems that professionals depend on
  • Balancing automation with human oversight: Knowing when to automate and when to surface decisions to experts
  • Production feedback loops: Turning real-world agent failures into systematic improvements
  • Explaining AI decisions: Making all forms of AI outputs and agent reasoning transparent and trustworthy
  • Evaluation for nuanced domains: Structuring data and feedback for workflows where ground truth requires expert judgment
  • High-impact visibility: Your work directly enables leadership to confidently communicate AI quality to the board and customers

More about Fieldguide:
Fieldguide is a values-based company. Our values are:
  • Fearless - Inspire & break down seemingly impossible walls.
  • Fast - Launch fast with excellence, iterate to perfection.
  • Lovable - Deliver happiness & 11 star experiences.
  • Owners - Execute & run the business with ownership.
  • Win-win - Create mutual value & earn trust for life.
  • Inclusive - Scale the best ideas with inclusive teams.

Some of our benefits include:
  • Competitive compensation packages with meaningful ownership
  • Flexible PTO
  • 401k
  • Wellness benefits, including a bundle of free therapy sessions
  • Technology & Work from Home reimbursement
  • Flexible work schedules

Apply