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$49.5K

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$74.5K

How much do history artificial intelligence jobs pay per year?

As of Sep 7, 2026, the average yearly pay for history artificial intelligence in the United States is $63,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $70,000.00 per year, depending on experience, location, and employer.

What is a History Artificial Intelligence specialist?

A History Artificial Intelligence specialist is a professional who uses artificial intelligence techniques and tools to analyze, interpret, and make sense of historical data and events. They may work on projects like digitizing historical documents, building AI models to uncover patterns in historical records, or developing educational tools that use AI to teach history. This role often combines expertise in history, data analysis, and machine learning. Specialists may work in academic research, museums, archives, or technology companies developing history-related AI applications.

How do professionals in History Artificial Intelligence typically collaborate with historians and data scientists on projects?

In the field of History Artificial Intelligence, professionals often work closely with historians to accurately interpret historical data and context, while also collaborating with data scientists to develop and refine AI models. This interdisciplinary teamwork ensures that AI systems are both technically robust and historically accurate. Regular meetings and collaborative workshops are common, allowing team members to align on project goals, share insights, and address challenges such as data scarcity or biases in historical records. This collaboration not only enriches the research process but also fosters professional growth through cross-disciplinary learning.

What are the key skills and qualifications needed to thrive as a History Artificial Intelligence specialist, and why are they important?

To excel as a History Artificial Intelligence Specialist, you need a solid background in history or digital humanities combined with expertise in AI, machine learning, and data analysis, often supported by an advanced degree in these fields. Familiarity with programming languages like Python, natural language processing (NLP) tools, and relevant AI frameworks is typically required. Strong research skills, critical thinking, and effective communication help you interpret historical data and collaborate with interdisciplinary teams. These skills ensure accurate AI-driven historical analysis, meaningful insights, and effective integration of technology in historical research.

What is the difference between History Artificial Intelligence vs Data Scientist?

AspectHistory Artificial IntelligenceData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of AI algorithmsDegree in Statistics, Computer Science, or related fields; proficiency in programming and analytics
Work EnvironmentResearch labs, tech companies, academiaCorporate, finance, healthcare, tech industries
Industry UsageDeveloping AI models to analyze historical data or simulate historical scenariosAnalyzing large datasets to extract insights and inform business decisions

While both roles involve data analysis and technical skills, History Artificial Intelligence focuses on applying AI techniques to historical data and research, whereas Data Scientists analyze diverse datasets to support business strategies. The roles share similar educational backgrounds but differ in their application areas and industry focus.

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What cities are hiring for History Artificial Intelligence jobs?

Cities with the most History Artificial Intelligence job openings:

What states have the most History Artificial Intelligence jobs?

States with the most job openings for History Artificial Intelligence jobs include:

What job categories do people searching History Artificial Intelligence jobs look for?

The top searched job categories for History Artificial Intelligence jobs are:

History Artificial Intelligence jobs near you
Infographic showing various History Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $63,171 per year, or $30.4 per hour.

Software Engineer, Desktop, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 10 hours ago

Job description

Job Description

Software Engineer, Desktop, Artificial Intelligence (AI) Required, Work From Home

The Software Engineer, Desktop will own how the system behaves on desktop environments.  Your work focuses on reliability, performance, and real-time behavior in production desktop applications.  This position is 100% Remote.

Software Engineer, Desktop Responsibilities:

- Build and maintain cross-platform desktop applications using Electron.

- Design responsive and scalable UIs for real-time collaboration.

- Implement desktop-specific functionality including file system access, native notifications, auto-updates, and deep linking.

- Integrate Artificial Intelligence (AI)-powered features (chat, agents, Artificial Intelligence (AI) assistance) via backend APIs.

- Optimize startup time, memory usage, and runtime performance.

- Profile and reduce Electron overhead.

- Manage large local state and message history efficiently.

- Ensure smooth real-time updates (messages, typing indicators, presence).

- Maintain stability across macOS and Windows environments.

Qualifications

Software Engineer, Desktop Qualifications:

- Proven software engineering experience.

- Artificial Intelligence (AI) experience required.

- Hands-on experience building production Electron applications.

- Strong proficiency in JavaScript and TypeScript.

- Experience with React or similar UI frameworks.

- Solid understanding of the desktop application lifecycle.

- Experience with IPC communication.

- Experience working with local storage (SQLite, IndexedDB, filesystem).

- Experience with WebSockets or other real-time transport mechanisms.

- Strong debugging and performance profiling skills.

- Familiarity with native OS behaviors on macOS or Windows.

- Tech Stack:  Electron, Node.js, NoSQL, SQL, and Typescript.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Software Engineer, Desktop, AI, API, Artificial Intelligence, Electron, IndexedDB, IPC Communications, JavaScript, macOS, Node.js, NoSQL, React, Real Time, SQL, SQLite, Typescript, UI, User Interface, WebSockets, Windows, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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