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Ai Proofreader Jobs in California (NOW HIRING)

Senior Software Engineer, Prenatal

Menlo Park, CA ยท On-site

$144K - $190K/yr

Scaling and future-proofing core systems to support rapid volume growth, enterprise workloads, and ... Python, Django, Postgres, React, Typescript, AWS, Heroku, Salesforce, and emerging AI-assisted ...

Principal Engineer - Identity

San Diego, CA ยท On-site

$120 - $160/hr

Our digital platform comprises of company-wide engineering capabilities like Data Platform, AI ... proofing, and regulatory compliance.* Design and guide implementation of **authentication and ...

Senior Product Quality Engineer

Santa Clara, CA ยท On-site

$103K - $140K/yr

... proofing. * Perform data analysis to generate periodic quality report, detect subtle trends and ... Knowledge of AI chips and memory devices is a plus. * Knowledge of quality and reliability concepts ...

Senior Software Engineer, Prenatal

Menlo Park, CA ยท On-site

$144K - $190K/yr

Scaling and future-proofing core systems to support rapid volume growth, enterprise workloads, and ... Apply AI-assisted tooling and workflows to improve developer productivity, automate routine ...

Senior Marketing Specialist

Palo Alto, CA ยท On-site

$91K - $113K/yr

Performs quality assurance measures by reviewing and proofing for errors or unacceptable standards ... Applicant AI Use Disclosure We value human interaction to understand each candidate's unique ...

Showing results 41-60

Ai Proofreader information

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.

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.

How much do AI proofreaders make?

AI proofreaders typically earn between $15 and $30 per hour, depending on experience, location, and whether they work freelance or for a company. Salaries can also vary based on the complexity of tasks and the use of specialized editing tools or software.
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:
Infographic showing various Ai Proofreader job openings in California as of August 2026, with employment types broken down into 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Senior Software Engineer, Prenatal

BillionToOne

Menlo Park, CA โ€ข On-site

$144K - $190K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

We are currently looking for a high-performing Senior Software Engineer, Prenatal to join our dynamic software engineering team. Software engineers at BillionToOne work in highly collaborative and interdisciplinary teams of clinicians, computational biologists, and other engineers to robustly scale personalized genomic medicine to millions of patients. If you have experience performing in a full life-cycle development, love seeing your work positively affect your colleagues and patients, and thrive in a fast-paced entrepreneurial environment, this could be a great opportunity for you. In this role, you can have an impact both through many small tools and large product development. This role is a hybrid (onsite 2-3 days/week) position.

Projects you may work on include:

  • Scaling and future-proofing core systems to support rapid volume growth, enterprise workloads, and long-term platform expansion.
  • Building shared platform libraries and modular, domain-aligned services that reduce coupling, improve maintainability, and enable teams to integrate and deliver independently.
  • Driving core architectural initiatives including service boundaries, data flows, observability patterns, and modernization of legacy components to enhance reliability and developer velocity.
  • Establishing foundational infrastructure and automation that strengthens deployment workflows, improves system health visibility, and enables consistent, high-quality engineering execution.

Technologies we use include: Python, Django, Postgres, React, Typescript, AWS, Heroku, Salesforce, and emerging AI-assisted coding environments (e.g., Cursor, GitHub Copilot, Claude Code)

Responsibilities:

  • Design, build, and operate scalable, high availability backend services, APIs, and data integrations that power customer facing product experiences
  • Lead technical delivery across the full lifecycle: architecture, design, implementation, testing, deployment, and ongoing operations
  • Collaborate closely with product, design, and cross functional engineering teams to deliver performant, reliable, and intuitive platform capabilities
  • Develop clean abstractions and platform APIs that simplify complex LIS workflows while balancing developer velocity with long term system stability
  • Build and maintain secure, reliable cloud infrastructure on AWS, including compute environments, networking, container orchestration, storage, and environment automation
  • Implement CI/CD pipelines, Infrastructure as Code, configuration management, and automated environment provisioning to standardize and accelerate delivery
  • Embed observability and operational excellence into the platform by default through robust monitoring, logging, alerting, and reliability patterns
  • Ensure the scalability, maintainability, and overall health of backend and cloud systems as the platform grows to support large enterprise workloads and future global expansion
  • Foster a culture of ownership, technical excellence, learning, and continuous improvement within the engineering team
  • Apply AI-assisted tooling and workflows to improve developer productivity, automate routine engineering tasks, enhance code quality, and accelerate troubleshooting

Qualifications:

  • 5 - 7 years of professional software development experience with a proven track record of delivering complex projects adhering to best practices
  • Deep understanding and experience using web frameworks like Django and FastAPI
  • Strong system design and architecture capabilities, applying domain-driven design to translate complex business domains into clear, scalable service and data boundaries.
  • Familiarity with modern AI-driven development practices and tools.
  • Strong foundation in cloud services, preferably AWS, including ECS, S3, AWS Batch, EC2, and AWS Lambda, enabling effective architecture and management of complex systems
  • Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment
  • Excited about working in-person with our team in Menlo Park

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
  • Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $300,806ย per year, including a base pay range of $192,932ย - $214,369ย per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.