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Ai Proofreader Jobs in California (NOW HIRING)

Walter

Staff Security Engineer

Mountain View, CA · On-site

... AI-assisted development tooling such as Claude Code, Cursor, or equivalent. Preferred Skills * Deep knowledge of identity proofing and credentialing standards, including NIST 800-63-3 (IAL2/AAL2 ...

Walter

Staff Security Engineer

Mountain View, CA · On-site

... AI-assisted development tooling such as Claude Code, Cursor, or equivalent. Preferred Skills * Deep knowledge of identity proofing and credentialing standards, including NIST 800-63-3 (IAL2/AAL2 ...

ZS

Enterprise Architect: AI

Thousand Oaks, CA · On-site

$215K - $227K/yr

... proofing our end-to-end technology stack while accelerating the speed of innovation and ... Lead agentic AI architecture and delivery, including multi-agent workflows across data ...

Fluidstack

Tooling & Fixturing Engineer

San Francisco, CA · On-site

$85 - $140/hr

Powerful AI will be the biggest lever for human choice we've ever built - but only if models are ... Design for the operator: fast loading, mistake-proofing, and safe handling of heavy parts. What We ...

MC Recruiting

Litigation Paralegal

San Francisco, CA · Hybrid

... AI). Hybrid schedule - 2 or 3 days/week in a modern, downtown office with a team of super sharp ... Preparing and drafting documents, including cite, fact-checking and proofing legal briefs

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Ai Proofreader information

What is an AI proofreader?

An AI Proofreader is a software tool or system that uses artificial intelligence to review and correct text for grammar, spelling, punctuation, style, and sometimes even tone and clarity. These tools are designed to help writers produce error-free content more efficiently by automatically identifying mistakes and suggesting corrections. AI Proofreaders are used in a variety of settings, including academic, business, and creative writing. They can help save time, improve the quality of writing, and reduce the need for manual editing.

What skills and qualifications are needed to thrive as an AI proofreader?

To thrive as an AI Proofreader, you need strong language proficiency, attention to detail, and a solid understanding of grammar and style, often supported by a degree in English, linguistics, or a related field. Familiarity with AI proofreading tools, content management systems, and editing software like Grammarly, Hemingway, or Microsoft Word is commonly required. Exceptional communication, critical thinking, and adaptability help you spot nuanced errors and collaborate with both human and AI teams. These skills ensure high-quality, accurate content that meets client or organizational standards in a technology-driven editing environment.

What are some common challenges AI proofreaders face when working with AI-generated content?

Ai Proofreaders often encounter challenges such as identifying subtle grammatical errors or awkward phrasing that automated tools might miss. Additionally, AI-generated content can sometimes lack context or proper tone, requiring the proofreader to use sound judgment and subject matter knowledge to ensure clarity and coherence. Collaborating closely with writers and AI developers is also essential to provide feedback that improves content quality and the AI models themselves.

How much do AI proofreaders make?

AI proofreaders typically earn between $30,000 and $70,000 annually, depending on experience, location, and whether they work freelance or for a company. Salaries can vary based on skill level, the complexity of tasks, and the use of specialized editing tools or AI software.

What is an AI proofreader job?

An AI proofreader job involves reviewing and editing text generated or processed by artificial intelligence tools to ensure accuracy, clarity, and proper grammar. The role often requires strong language skills, attention to detail, and familiarity with editing software or AI platforms. Proofreaders may work remotely and need to understand AI limitations to improve content quality.

What are popular job titles related to Ai Proofreader jobs in California?

For Ai Proofreader jobs in California, the most frequently searched job titles are:

What job categories do people searching Ai Proofreader jobs in California look for?

The top searched job categories for Ai Proofreader jobs in California are:

Ai Proofreader jobs near you
Infographic showing various Ai Proofreader job openings in California as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Staff Security Engineer

Mountain View, CA • On-site

Walter
See more jobs at Walterexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Summary
We are the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with us once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users
experience streamlined login and identity verification with us at 20 federal agencies and 44 state agencies
General Information
Onsite Location: Mountain View, CA OR McLean, VA (Onsite 5 days per week)
We are seeking a Staff Software Engineer to join the Wallet - Identity Proofing team. This team owns the identity proofing flows that millions of members rely on every day - from secure login and multi-factor authentication to passkeys, biometrics, and the end-to-end member experiences that establish trust and unlock access to government, healthcare, and commercial services.
As a Staff Engineer, you will be a technical anchor for one of our most critical and
high-scale engineering domains. You will drive architecture decisions, lead complex cross-team initiatives, and raise the bar for engineering quality, security, and reliability. You'll collaborate closely with product, security, and platform teams to shape the next generation of authentication and identity proofing at ID.me.
Key Responsibilities
  • Drive Identity Proofing Excellence: Lead the technical design of end-to-end member-facing verification flows, including document-based identity proofing, face match, supervised verification, and trusted referee experiences - ensuring they meet NIST 800-63-3 IAL2/AAL2 standards with minimal friction.
  • Technical Leadership & Mentorship: Serve as a technical anchor for the team - setting the standard for code quality, system design, and engineering best practices. Mentor senior and mid-level engineers through code reviews, architectural guidance, and pairing.
  • Cross-Team Collaboration: Partner with Security, Platform, Identity Graph, Product, and Compliance teams to deliver cohesive features and integrations.
  • Drive alignment on shared architectural decisions and multi-team initiatives that
    span authentication and identity proofing.
  • Reliability, Performance & Security: Own the availability and performance of authentication services at scale. Lead initiatives around observability, alert hygiene, capacity planning, and incident response for high-traffic, high-sensitivity
    systems.
  • Compliance & Data Integrity: Champion compliance initiatives, including data
    retention, compromised credential detection, biometric data governance, and
    privacy-preserving design patterns. Ensure authentication systems meet evolving
    legal and regulatory requirements.
  • Roadmap Influence: Provide technical input into team roadmap planning.
  • Identify engineering investments that improve developer velocity, system resilience, and member experience - and advocate for them with engineering leadership and product.

Requirements
Required Experience
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
  • 8+ years of professional software engineering experience building and operating high-availability production services.
  • 3+ years of experience operating distributed systems at scale, such as caching or async processing, and other cloud-native infrastructure (GCP preferred).
  • 1+ years of experience with AI-assisted development tooling such as Claude
    Code, Cursor, or equivalent.

Preferred Skills
  • Deep knowledge of identity proofing and credentialing standards, including NIST
    800-63-3 (IAL2/AAL2), Kantara Initiative requirements, or equivalent federal/state
    compliance frameworks.
  • A commitment to fostering an AI-first engineering culture that maximizes team
    quality and velocity.
  • Proven ability to lead complex, cross-team technical initiatives from definition through delivery with minimal oversight.
  • Strong communication and collaboration skills, with experience influencing technical direction across engineering, product, and security stakeholders.
  • Experience with modern frontend Frameworks like React, and strong backend
    engineering fundamentals in one or more languages such as Ruby, Java, Go, or Python, with a track record of building secure, scalable APIs and services.
  • Hands-on experience with modern frontend technologies including TypeScript, React, Next.js, Node.js, and build tooling (Vite, Webpack, Babel, ESLint);
  • Proficient in testing frameworks (Jest, Playwright, Testing Library), styling
    (Tailwind CSS, Sass), and building reusable component libraries with Storybook.
  • Experience with event-driven architectures, database performance optimization,
    and caching strategies for high-throughput identity systems.
  • Familiarity with cloud data compliance frameworks including biometric data
    retention regulations, PII handling, and audit logging requirements.
  • Experience working in regulated industries such as government, healthcare, or
    financial services.
  • Track record of improving engineering culture through documentation, technical
    standards, and developer experience improvements.

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