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Weekend Remote Artificial Intelligence Jobs in Virginia

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... Artificial Intelligence (AI) Literacy #javelin Amentum is proud to be an Equal Opportunity Employer.

College degree must be in a relevant field such as remote sensing, Geospatial sciences, Relevant ... Artificial Intelligence (AI) Literacy #javelin Amentum is proud to be an Equal Opportunity Employer.

Showing results 21-40

Weekend Remote Artificial Intelligence information

What are the key skills and qualifications needed to thrive as a Weekend Remote Artificial Intelligence specialist?

To thrive as a Weekend Remote Artificial Intelligence Specialist, you need a strong background in computer science, machine learning, and data analysis, often supported by a relevant degree or certifications. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and remote collaboration tools is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills for this role. These competencies ensure that AI projects are developed efficiently, issues are resolved promptly, and team collaboration remains effective even in a remote, weekend-based environment.

How does working as a Weekend Remote Artificial Intelligence specialist typically differ from standard weekday AI roles?

Weekend remote AI positions often focus on maintaining and monitoring AI systems, troubleshooting urgent issues, or supporting ongoing projects outside of regular business hours. You may work more independently, but will still collaborate with team members through digital channels to ensure smooth operations. This role can offer flexibility and the chance to manage critical incidents, making it a great fit for those who prefer non-traditional schedules or seek to supplement their weekday work. Additionally, weekend remote roles can provide unique exposure to real-time problem-solving and often serve as a stepping stone to more senior AI positions.

What is the difference between Weekend Remote Artificial Intelligence vs Weekend Remote Data Science?

AspectWeekend Remote Artificial IntelligenceWeekend Remote Data Science
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentRemote, project-based, collaborative teamsRemote, data-focused, cross-functional teams
Industry UsageTech, healthcare, finance, researchFinance, marketing, tech, healthcare
Common Search IntentAI-specific roles, machine learning projectsData analysis, insights, predictive modeling

Weekend Remote Artificial Intelligence and Weekend Remote Data Science share similarities in remote work settings and required technical skills. However, AI roles focus more on developing algorithms and machine learning models, while Data Science emphasizes data analysis and insights. Both roles are in high demand across various industries and often overlap in skills and tools used.

What is a Weekend Remote Artificial Intelligence?

A Weekend Remote Artificial Intelligence job involves working on AI-related projects or tasks from a remote location, typically during weekends. These roles may include developing machine learning models, analyzing data, building AI-powered applications, or providing support for AI systems. The flexibility allows professionals to work part-time or as a side gig, often for companies needing support outside regular weekday hours. This type of job is ideal for those with AI expertise who seek flexible schedules and remote work opportunities.
What are popular job titles related to Weekend Remote Artificial Intelligence jobs in Virginia? For Weekend Remote Artificial Intelligence jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Artificial Intelligence jobs in Virginia look for? The top searched job categories for Weekend Remote Artificial Intelligence jobs in Virginia are:
What cities in Virginia are hiring for Weekend Remote Artificial Intelligence jobs? Cities in Virginia with the most Weekend Remote Artificial Intelligence job openings:
Infographic showing various Weekend Remote Artificial Intelligence job openings in Virginia as of August 2026, with employment types broken down into 56% Full Time, 22% Part Time, and 22% Contract. Highlights an 100% Remote job distribution.

Intellectual Property (IP) Technical Specialist

Amatriot Group, LLC

Springfield, VA • On-site, Remote

$125K - $175K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Security Clearance: Active TS/SCI [Required]

Location: St. Louis, Missouri OR Springfield, Virginia

Job Type: Full-Time

Target Salary Range*: $125,000-175,000

*This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary


Position Overview

The Amatriot Group is currently seeking an Intellectual Property (IP) Technical Specialist to support work with the National Geospatial-Intelligence Agency. The ideal candidate is a subject matter expert with experience in computer architecture, artificial intelligence, machine learning, deep learning, computer vision, software engineering, and other computer science and computer engineering fields who can assess inventions in these fields for patentability.

The Intellectual Property Technical Specialist will support the NGA Office of Research and Technology Applications and the Office of General Counsel with patent assessments, preparation of patent applications related to inventions, and drafting responses to U.S. Patent and Trademark Office actions.

This position will be performed at NGA offices in either St. Louis, MO, or Springfield, VA. Remote work capabilities are authorized on an as-needed basis.


Key ResponsibilitiesPatent Search and Patentability Assessment
  • Conduct patent searches to assess the novelty and patentability of computer architecture, artificial intelligence, and other computer science and computer engineering inventions.
  • Conduct interviews with inventors to capture all required aspects of technologies submitted for the ORTA to make patenting recommendations.
Patent Application and Prosecution Support
  • Collaborate with inventors and OGC to develop patent prosecution strategy.
  • Work closely with OGC to prepare patent applications, including drafting specifications, drawings, and claims.
  • Ensure technical accuracy of the subject matter in patent applications.
  • Provide technical and legal research and analysis to assist OGC in support of NGA submissions pending before the USPTO.
  • Assist OGC with preparing responses to USPTO actions and docket management.
Documentation and Records Management
  • Ensure procedures are in place to classify and maintain records.
  • Interpret and enforce documentation formatting, standards, policies, and operating procedure requirements.

QualificationsEducation
  • B.S. in Computer Science, Computer Engineering, or closely related field.

Experience
  • 5 years of experience related to the job responsibilities listed above with a Bachelor’s degree in a related field; or
  • 3 years of relevant experience with a Master’s degree in a related field; or
  • No years of experience with a PhD in a related field.
  • Demonstrated technical expertise in one or more of the following:
    • Computer architecture
    • Artificial intelligence
    • Machine learning
    • Deep learning
    • Computer vision
    • Software engineering
    • Programming
Skills
  • Ability to work independently with minimal guidance.
  • Demonstrated superior writing and analytical skills.
  • Knowledge of the Patent Laws, Manual of Patent Examining Procedure, and USPTO regulations.
Clearance
  • TS/SCI security clearance required.


Preferred Qualifications
  • Candidates located near NGA offices in either St. Louis, MO, or Springfield, VA.
  • USPTO registration preferred.
  • Submissions to technical journals and authoring white papers in computer science, engineering, or related fields.
  • Ability to work in a fast-paced environment with quick turnaround times and minimal supervision.