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Remote Ai Content Proofreader Jobs in California

Sanity

Senior Software Engineer, AI Growth

San Francisco, CA · On-site +1

$144K - $190K/yr

Our AI Content Operating System gives teams the freedom to model, create, and automate content the ... Sanity MCP Server - our remote MCP server, now generally available and listed as one of eight ...

Descript

Content Strategist

San Francisco, CA · On-site +1

$130K - $165K/yr

Build an AI-native content production system that enables quality output at scale without ... We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a ...

Squint AI

Content Marketing Lead

San Francisco, CA · On-site +1

$120K - $140K/yr

Building with AI and AR, that foundation powers the workflows and applications that put the right ... Benefits We are open to remote outside the Bay Area. Our SF-based team members work from our office ...

Hercules

SEO Content Writer

San Francisco, CA · On-site +1

$100K - $250K/yr

Automate your workflow with AI What skills do we expect you to have? We expect candidates to be ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Orkes

Content Engineer

Cupertino, CA · On-site +1

$150K/yr

Experiment with modern content approaches, including AI-assisted workflows Community Engagement ... Open to remote for the right candidate, but prefer in-office How to Stand Out We'd love to see ...

Oura

Senior Content Designer

San Francisco, CA · On-site +1

You'll also help evolve how AI contributes to that experience by designing prompts, refining ... Teamwork spirit and ability to collaborate in remote work environments. Due to time zones, this ...

Mercury

Content Marketer

San Francisco, CA · On-site +1

An AI-native operator who uses new tools and workflows to increase their leverage, move efficiently ... A self-directed builder who thrives in remote-first, async environments and brings momentum ...

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Remote Ai Content Proofreader information

What are the key skills and qualifications needed to thrive as a Remote AI Content Proofreader, and why are they important?

To thrive as a Remote AI Content Proofreader, you need a strong command of grammar, spelling, and style guidelines, along with a background in English, communications, or a related field. Familiarity with editing tools (such as Grammarly or Hemingway), AI content platforms, and content management systems is typically expected. Attention to detail, time management, and clear communication are standout soft skills for this role. These abilities ensure high-quality, accurate content and efficient remote collaboration within distributed teams.

How does a Remote AI Content Proofreader typically collaborate with content creators and AI developers?

As a Remote AI Content Proofreader, you’ll often work closely with both content creators and AI developers to ensure the highest quality of content output. You may review content generated by AI, provide feedback on language accuracy, tone, and context, and communicate suggested improvements to the content team. Additionally, your feedback on recurring AI mistakes can be valuable for developers to refine the AI's algorithms. Effective collaboration and clear communication are key to maintaining content standards and streamlining the workflow in a remote environment.

What is a Remote AI Content Proofreader?

A Remote AI Content Proofreader is a professional who reviews and edits content generated by artificial intelligence tools to ensure accuracy, clarity, grammar, and overall quality. They work from a remote location, often using digital platforms to access and correct AI-generated text. Their main responsibilities include identifying and correcting errors, improving readability, and ensuring that the final content meets the required standards and guidelines. This role is essential for organizations that rely on AI-generated content for blogs, articles, marketing materials, or other communications.
What are the most commonly searched types of Ai Content Proofreader jobs in California? The most popular types of Ai Content Proofreader jobs in California are:
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Remote Ai Content Proofreader jobs near you

AI Engineer- Federal Government Remote

United Global Technologies

Menlo Park, CA • Remote

$123K - $169K/yr

Full-time, Contractor

Re-posted 11 days ago

Job description

No subs- No sponsorship

Remote

AI Engineer (Mid–Senior)

United Global Technologies (UGT) | Remote (U.S.), | Full-time

UGT is hiring a mid-to-senior AI Engineer to design, build, and operate governed, production-grade AI capabilities across a multi-cloud environment (AWS Bedrock, Google Gemini for Government, and Microsoft Copilot) for a leading U.S. Department of Energy. You'll own data pipelines and AI control plane that make these capabilities secure, observable, and cost-governed — and mentor a junior engineer. This is a hands-on role at the center of the lab's emerging AI portfolio.

WHAT YOU'LL DO

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Build governed AI/RAG solutions across AWS Bedrock and Google Gemini (GCP for Government), integrating Microsoft Copilot for Microsoft-native datasets where appropriate.

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Operate the AI control plane (LightLLM) as the central hub for model access, monitoring, cost allocation, and governance, and extend it to additional model paths.

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Architect scalable data pipelines — aggregation, parsing, chunking, and assembly of source content into work packages that feed RAG and other AI systems.

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Advance the lab's AI work-planning and control system: ingest Environment, Safety & Health (ES&H) manuals, generate hazard identifications, orchestrate SME approval workflows, and produce formalized work packages.

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Enforce data governance: handle CUI/SPI appropriately and ensure AI activity logs aggregate into the enterprise SIEM.

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Own CI/CD and infrastructure-as-code for AI workloads using GitHub Actions and Terraform.

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Define usage policy for when teams access AI through the control plane vs. directly via platform services (e.g., Vertex AI).

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Mentor a junior AI engineer and help establish engineering conventions and onboarding standards.

WHAT WE'RE LOOKING FOR (REQUIRED)

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5+ years of professional software / AI engineering experience, with a strong Python foundation.

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Hands-on experience building LLM / RAG applications — retrieval, chunking strategies, prompt orchestration, and evaluation.

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Working knowledge of at least one major cloud AI platform: AWS Bedrock and/or Google Vertex AI / Gemini.

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Infrastructure-as-code (Terraform) and CI/CD (GitHub Actions or equivalent).

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Practical understanding of security and data governance, including handling of sensitive or controlled data.

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U.S. citizenship or permanent residency (supports a federal / DOE environment).

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Ability to provide consistent support during Pacific Time core business hours.

NICE TO HAVE (PREFERRED)

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Experience in a DOE, national laboratory, FedRAMP, or other regulated, compliance-driven environment.

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Familiarity with AI gateways / control planes such as LightLLM (or LiteLLM-style proxies) and multi-model governance.

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Experience using Microsoft Copilot for enterprise RAG use cases.

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Experience integrating application and AI logging into a SIEM.

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Comfort transforming unstructured documentation (technical manuals, procedures) into structured, retrievable knowledge.

EMPLOYMENT & ELIGIBILITY

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Full-time, salaried UGT employee placed on a long-term, dedicated client assignment (this is not a short-term or contract-to-hire role).

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Remote within the U.S.; occasional ad hoc onsite in the San Francisco Bay Area is helpful but not required.

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Must reliably support Pacific Time core business hours.

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U.S. citizenship or permanent residency required; works with CUI/SPI in a DOE environment (no classified or ITAR work).

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Government-furnished equipment provided for the engagement.

ABOUT UGT

United Global Technologies, Inc. (UGT) is a Charlotte, NC–based IT solutions firm serving public-sector, federal, and national-laboratory clients. UGT is a six-time Inc. 5000 honoree and holds WOSB, SBE, DBE, and MBE certifications, with long-standing relationships across the U.S. Department of Energy national laboratory system.