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Remote Artificial Intelligence Jobs in Hanover, MD

Intelligence Planner

Washington, DC ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247843 Location: Washington,DC,US Share job via: Share Intelligence ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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Remote Artificial Intelligence information

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$59

$86

How much do remote artificial intelligence jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote artificial intelligence in Hanover, MD is $59.76, according to ZipRecruiter salary data. Most workers in this role earn between $52.60 and $64.33 per hour, depending on experience, location, and employer.

What is a remote artificial intelligence job?

A Remote Artificial Intelligence job involves working with AI technologies and systems, such as machine learning, natural language processing, or computer vision, from a location outside the traditional office environment. Professionals in these roles may design, develop, and deploy AI models or applications for various industries. Remote AI jobs often require strong technical skills in programming, data analysis, and AI frameworks, and can include positions like AI engineer, data scientist, or machine learning researcher. These roles enable individuals to collaborate with global teams and contribute to cutting-edge projects without being tied to a specific physical location.

What are some common challenges faced by professionals working remotely in artificial intelligence roles?

Remote Artificial Intelligence professionals often encounter challenges related to communication and collaboration, especially when working on complex projects that require input from cross-functional teams. Coordinating across different time zones and ensuring alignment on project goals can require extra effort and the use of collaboration tools. Additionally, staying updated with the latest AI research and maintaining access to necessary computing resources remotely may require proactive planning. Building a strong remote work routine and engaging in regular team meetings can help mitigate these challenges.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence specialist, and why are they important?

To thrive as a Remote Artificial Intelligence Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree or certifications. Familiarity with programming languages like Python, deep learning frameworks such as TensorFlow or PyTorch, and cloud platforms is typically required. Exceptional problem-solving, self-motivation, and effective communication skills help you collaborate across distributed teams and drive innovation. These abilities are vital for developing robust AI solutions and maintaining productivity in a remote work environment.

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

AspectRemote Artificial IntelligenceRemote Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Data Science, Statistics, or related fields; certifications in Data Analysis/ML
Work EnvironmentCollaborative teams, research labs, tech companiesData analysis teams, research institutions, tech firms
Industry UsageDeveloping AI models, machine learning algorithmsAnalyzing data, building predictive models
Search & Comparison IntentHigh overlap in skills and job functions, often compared in AI roles

Remote Artificial Intelligence and Remote Data Scientist roles share many skills, including data analysis, machine learning, and programming. However, AI roles focus more on developing intelligent systems and algorithms, while Data Scientists primarily analyze data to generate insights. Both roles are in high demand across tech industries and often require similar educational backgrounds and certifications.

What are the most commonly searched types of Artificial Intelligence jobs in Hanover, MD?

The most popular types of Artificial Intelligence jobs in Hanover, MD are:

What are popular job titles related to Remote Artificial Intelligence jobs in Hanover, MD?

For Remote Artificial Intelligence jobs in Hanover, MD, the most frequently searched job titles are:

What cities near Hanover, MD are hiring for Remote Artificial Intelligence jobs?

Cities near Hanover, MD with the most Remote Artificial Intelligence job openings:

Infographic showing various Remote Artificial Intelligence job openings in Hanover, MD as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,304 per year, or $59.8 per hour.

Artificial Intelligence Engineer

Washington, DC โ€ข Remote

MKS2 Technologies
51 - 200 employees

$180K - $210K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.


Artificial Intelligence Engineer (Key Personnel)

Location: Remote (Supporting Eastern Time Zone)
Employment Type: Full-Time
Security Requirement: Tier 4 / High Risk Background Investigation
Travel: Approximately two trips per year (seven trips over the life of the contract)

Salary Range: $180,000-$210,000

Position Overview

MKS2 is seeking an experienced Artificial Intelligence Engineer (Key Personnel) to support the development, implementation, and optimization of advanced AI and machine learning solutions for a federal government program. This role will serve as a technical leader responsible for designing, building, training, deploying, and maintaining AI-driven systems that address complex business and mission requirements. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, data science, software engineering, and cloud-based technologies within large enterprise or government environments.

The Artificial Intelligence Engineer will collaborate closely with data scientists, software engineers, cybersecurity professionals, stakeholders, and government leadership to develop innovative solutions that drive operational efficiency, decision-making, and mission outcomes.

Key Responsibilities
  • Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions.
  • Lead the creation of predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms.
  • Develop and implement machine learning algorithms and model architectures for real-world business challenges.
  • Build and optimize data pipelines, feature engineering processes, and model training environments.
  • Evaluate emerging AI technologies and recommend innovative solutions to enhance mission performance.
  • Ensure AI solutions align with security, privacy, compliance, and governance requirements.
  • Collaborate with cross-functional teams including software developers, cybersecurity specialists, data engineers, and business stakeholders.
  • Support cloud-based AI deployments and model operationalization activities.
  • Conduct model validation, performance monitoring, and continuous improvement initiatives.
  • Provide technical guidance, mentorship, and thought leadership on AI strategies and capabilities.
  • Develop technical documentation, architecture diagrams, implementation plans, and executive briefings.
  • Participate in program reviews, stakeholder meetings, and technical working groups.
Required Experience
  • Minimum of 10 years of experience in information technology security, data science, software engineering, or related technical disciplines.
  • At least 5 years of experience designing, developing, or deploying artificial intelligence or machine learning systems within enterprise or government environments.
  • Experience delivering AI-enabled solutions for large organizations or federal agencies similar in size and complexity to the Department of Veterans Affairs (VA), Department of Defense (DoD), Internal Revenue Service (IRS), or General Services Administration (GSA).
  • Demonstrated experience implementing AI and machine learning solutions in production environments.

Substitution:

  • A PhD in Information Technology Security, Data Science, Software Engineering, or a related discipline may substitute for up to five years of the required experience.
Required Education

Master's degree in one of the following disciplines:

  • Artificial Intelligence
  • Business Administration
  • Business Management
  • Cybersecurity
  • Computer Science
  • Information Systems
  • Information Assurance
  • Information Security
  • Information Resource Management
  • Related field
Required Certifications

Must possess one or more of the following:

  • Information Assurance Technician (IAT) Level III
  • Information Assurance Management (IAM) Level III
  • Information Assurance System Architect and Engineer (IASAE) Level III
Required Expertise
  • Extensive experience working on data science, machine learning, and artificial intelligence projects.
  • Experience building, training, testing, and deploying machine learning models in production environments.
  • Expertise collaborating with multidisciplinary teams including data scientists, software engineers, architects, cybersecurity personnel, and business stakeholders.
  • Strong understanding of data preparation, data quality, cleansing, transformation, and feature engineering techniques.
  • Experience applying AI technologies to complex business and mission challenges.
  • Knowledge of responsible AI principles, model governance, security considerations, and ethical AI practices.
  • Experience supporting federal government organizations or large enterprise environments.
  • Hands-on experience with AI frameworks, machine learning libraries, and cloud-based AI services.
  • Strong analytical, problem-solving, and communication skills.
Security Requirement
  • Must be able to successfully complete and maintain a Tier 4 / High Risk Background Investigation.
Place of Performance
  • Remote position supporting Eastern Time Zone operations.
  • Meetings and coordination activities may occur at the Department of Veterans Affairs Central Office (VACO), 811 Vermont Avenue NW, Washington, DC.
  • Routine onsite support is not anticipated.
Hours of Operation
  • Available during standard Federal Government business days.
  • Must be responsive during core business hours of 8:00 AM to 5:00 PM Eastern Time.
Travel Requirements
  • Support program-related meetings and events as required.
  • Government anticipates approximately two trips per year, totaling seven trips across the contract period.
Why Join MKS2?

At MKS2, we partner with federal agencies to deliver innovative technology solutions that improve mission outcomes and enhance operational effectiveness. Our team is committed to excellence, collaboration, and continuous innovation while supporting some of the nation's most important programs. This role offers the opportunity to help shape the future of artificial intelligence within the federal government sector while working in a highly collaborative and mission-driven environment.


Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.