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Proofreader Jobs in Pittsburgh, PA (NOW HIRING)

Senior Highway Engineer

Pittsburgh, PA · On-site

$97K - $134K/yr

... proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what ...

Senior Highway Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

... proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what ...

Assembly Operator

Pittsburgh, PA · On-site

$18.85/hr

Proofing patterns for correct spelling and design. * Cross train in other areas of the shop. * Maintain a neat and clean work station. * Adhere to all safety protocols and standards. WHY YOU'LL LOVE ...

Knowledge of printing, postal requirements, proofing, print production timelines, mailing lists, variable data, or direct mail vendor management. * Basic understanding of AEO/SEO best practices and ...

Controls Engineer

Washington, PA · On-site

$86K - $126K/yr

Configuring, integrating, and troubleshooting Keyence vision systems and safety devices to support inspection, error proofing, and machine safety functions on aging production equipment. * Hands on ...

Senior Highway Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

... proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what ...

... proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what ...

Showing results 21-40

Proofreader information

See Pittsburgh, PA salary details

$12

$25

$41

How much do proofreader jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for proofreader in Pittsburgh, PA is $25.84, according to ZipRecruiter salary data. Most workers in this role earn between $19.09 and $31.44 per hour, depending on experience, location, and employer.

What qualifications do I need to be a proofreader?

Proofreaders typically need a high school diploma or equivalent, strong language skills, and excellent attention to detail. Many employers prefer candidates with a bachelor's degree in English, journalism, or a related field, and proficiency with editing tools or style guides such as the Chicago Manual of Style or AP Stylebook.

What does a proofreader do?

A proofreader reviews written content to identify and correct errors in spelling, grammar, punctuation, and formatting. Their main goal is to ensure the text is accurate, clear, and consistent before it is published or shared. Proofreaders often work with authors, editors, and publishers to maintain high-quality standards in books, articles, marketing materials, and other documents.

Is there a demand for proofreaders?

Proofreaders are in steady demand across publishing, editing, and content creation industries, especially as online content grows. Strong attention to detail and proficiency with editing tools can improve job prospects, with freelance opportunities also available for remote work.

What are some typical challenges proofreaders face when working with tight deadlines?

Proofreaders often encounter tight deadlines, especially when working with publishing houses, marketing agencies, or news organizations. The main challenge is maintaining a high level of accuracy and attention to detail while working quickly to meet these deadlines. It requires strong time management skills, the ability to focus under pressure, and sometimes collaborating closely with editors or writers to resolve last-minute issues. Staying organized and developing efficient workflows can help proofreaders consistently deliver quality work on time.

How can I become a proofreader with no experience?

To become a proofreader with no experience, start by developing strong language and grammar skills through self-study or online courses. Building a portfolio with sample editing work and gaining familiarity with editing tools like Microsoft Word or Google Docs can also help, and some employers may accept entry-level applicants who demonstrate attention to detail and a willingness to learn.

What are the key skills and qualifications needed to thrive as a proofreader, and why are they important?

To thrive as a Proofreader, you need exceptional language proficiency, attention to detail, and a strong grasp of grammar and style, often supported by a degree in English or a related field. Familiarity with editing tools such as Microsoft Word, Adobe Acrobat, and style guides like AP or Chicago Manual of Style is typically required. Excellent time management, focus, and communication skills help proofreaders deliver accurate work and collaborate with writers or editors. These skills ensure that written materials are error-free, consistent, and professional, which is critical for maintaining credibility and quality in published content.

What is the difference between Proofreader vs Copy Editor?

AspectProofreaderCopy Editor
Primary FocusCorrects grammar, spelling, punctuationRevises style, clarity, structure
Skills & CertificationsLanguage proficiency, attention to detailLanguage skills, editing experience
Work EnvironmentPublishing houses, freelance, mediaPublishing, marketing, corporate
Common UsageFinal review before publicationContent development and improvement

Proofreaders focus on catching grammatical and typographical errors to ensure accuracy. Copy editors go beyond, revising content for clarity, style, and flow. While both roles require strong language skills, copy editing involves more in-depth editing and rewriting. Understanding these differences helps employers and job seekers identify the right role for their skills and career goals.

What is a proofreader?

Proofreaders are hired to review and find mistakes in printed or digital materials. Traditionally, they were employed by newspapers and book publishers to correct initial versions of writings before they printed final copies. Now, most proofreaders work on digital formats and are hired to read blogs, news sites, social media updates, and online reviews. A Proofreader sometimes doubles as a Copy Editor, correcting grammar and spelling mistakes as they work and offering suggestions to improve the copy. They also make sure the layout of the page is readable, and that page elements do not hinder or cover any text.

How do I get work as a proofreader?

To get work as a proofreader, build strong language and editing skills, often through a relevant degree or certification, and create a portfolio of sample work. Many proofreaders find opportunities through freelance platforms, job boards, or by applying directly to publishing companies and content agencies.

What are the most commonly searched types of Proofreader jobs in Pittsburgh, PA?

The most popular types of Proofreader jobs in Pittsburgh, PA are:

What are popular job titles related to Proofreader jobs in Pittsburgh, PA?

For Proofreader jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Proofreader jobs in Pittsburgh, PA look for?

The top searched job categories for Proofreader jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Proofreader jobs?

Cities near Pittsburgh, PA with the most Proofreader job openings:

Infographic showing various Proofreader job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $53,748 per year, or $25.8 per hour.

Lead Data Scientist - Knowledge Retrieval

Air

Pittsburgh, PA

Full-time

Re-posted 24 days ago


Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description

The Lead Data Scientist will provide visionary technical leadership to a team of data scientists and AI engineers, driving the end-to-end development and deployment of cutting-edge Artificial Intelligence solutions for our National Security clientele. This crucial position is key to building a strong culture of advanced agentic search, deep research, retrieval, and AI, and to creating scalable AI platforms for the wider AI and Data Science community.

As a hands-on technical leader, you will apply deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. This involves designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will also have the opportunity to expand and grow data-driven research across Air, leading new areas to apply advanced analytics to drive strategic business and national security results. You will build and lead the development of advanced agentic search, knowledge retrieval, and deep research systems. These systems are designed to provide deep conversational knowledge explorations, robust problem solving, accurate question answering, and a suite of other search, recommendation, and discovery capabilities, transforming proprietary and commercial datasets into mission-critical insights.

To excel in this position, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem. The ideal candidate is a highly organized problem-solver who possesses excellent oral and written communication skills, capable of translating complex AI concepts for both technical and non-technical audiences. You must be independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation, demonstrating a passion for great work and an intolerance for mediocrity. We seek an uber-smart, creative, out-of-the-box thinker who is challenged by complex defense problems and obsessed with quality and rapid prototyping/deployment, knowing how to engage in constructive dialogue to find the best path forward

This role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 10% travel

Scope of Responsibilities
  • Drive the architecture and development of the 'Air Brain,' a complex, multi-modal intelligent agent system for knowledge retrieval and deep research, serving as the central nervous architecture for powering agentic AI search, deep research, RAG, and knowledge graph systems across Air Enterprise Readiness platform.
  • Define the multi-year technical roadmap for AI initiatives, turning vague business challenges into concrete, scalable research and product goals.
  • Raise the collective bar by mentoring Senior-level engineers and building high-performing teams that consistently deliver state-of-the-art (SOTA) results.
  • Drive consensus across disparate groups such as DS and AI, Product, Forward Deployed AI and Engineering, to ensure AI deployments are technically sound, commercially viable, and responsible.
  • Act as the authority on scientific breakthroughs and model strategy, ensuring that core architectures, training methodologies, and data ecosystems are robust, cost-effective, and future-proofed against the rapidly evolving AI landscape
  • Lead the end-to-end execution of large-scale AI projects, ensuring alignment with strategic objectives and timely delivery.
  • Lead the development of advanced agentic search, knowledge retrieval, and deep research systems.
  • Drive the expansion of data-driven research and advanced analytics for strategic business and national security results.
  • Design and deploy Agentic AI systems capable of deep conversational knowledge explorations, robust problem solving, and accurate question answering from proprietary datasets.
  • Act as the primary Individual Contributor (IC) and technical lead for complex AI/ML/DS projects, taking deep ownership from ideation to production deployment.
  • Serve as the domain expert in AI Search Science (ranking, query understanding, agentic search, deep research, embedding models, etc), driving the application and development of state-of-the-art methods within that specialization.
  • Work closely with partner teams, including AI research, data engineering, and software development, to define robust software architecture, set the project roadmap, and manage technical execution.
  • Collaborate with the Product team to clearly define product scope, translating high-level requirements into actionable technical plans and delivering market-ready AI solutions integrated with client data platforms and workflows.
  • Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
  • Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
  • Mentor and guide junior and senior team members, fostering a culture of technical excellence, continuous learning, and high-impact work.
  • Nurture a robust AI culture within the team by leading technical discussions, conducting internal workshops, and promoting best practices in model development, experimentation, and MLOps.
  • Demonstrate strong leadership qualities to align the team's AI strategy effectively with overall business and client needs, translating complex technical concepts into strategic business impacts for leadership.
Qualifications
  • U.S. Citizenship is required
Required Skills:
  • Minimum of 7 years of professional experience working as a Data Scientist in an industry setting
  • Oversee the full lifecycle of large-scale AI projects.
  • Understanding of coding AI (such as Claude Code) and experience in using it to scale up AI team deliveries
  • Expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures and complex indexing strategies for proprietary, large-scale, heterogeneous datasets. Expertise in fine-tuning multi modal embedding models
  • Proven ability to leverage state-of-the-art LLMs, multi-modal embedding models, vector databases, and knowledge graph systems to build production-ready knowledge retrieval, conversational AI search, and Deep Research systems.
  • Practical experience building hybrid knowledge retrieval systems that combine advanced techniques like embedding models, knowledge graphs, and traditional methods (e.g., BM25), utilizing novel paradigms such as GraphRAG, RAG-RL, and other advanced retrieval strategies.
  • Deep knowledge of and practical experience with ranking and reranking models, including multi-tower, bi-encoder and cross-encoder architectures, specifically within the context of search and knowledge retrieval systems.
  • Expert proficiency in developing and deploying multi-agent AI systems and reasoning frameworks (e.g., ReAct, Chain-of-Thought) for complex knowledge exploration, robust problem-solving, and decision support within search and retrieval contexts.
  • Ensure timely project delivery and strategic goal alignment.
  • Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
  • Define robust software architecture for large-scale AI systems and project roadmaps.
  • Translate high-level product requirements into actionable technical plans.
  • Deliver production-ready AI solutions integrated with clients' data platforms and workflows.
  • Drive the implementation of scalable AI/ML platforms.
  • Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
  • Champion innovation and best practices across the organization.
  • Mentor and coach team members.
  • Foster a high-performing culture of technical excellence and continuous growth.
  • Help to the leadership to align AI strategy effectively with client needs.
  • Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.

Desired Skills:

  • A strong publication record in the top conferences in one of the AI, ML NLP, and decision science areas
  • Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
  • Experience in LLM post-training or fine-tuning.
  • Demonstrate strong National Security domain knowledge.
  • Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
  • Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.