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Weekend Remote Artificial Intelligence Jobs in Frederick, MD

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Remote Insurance Agent

Hagerstown, MD · Remote

$60K - $110K/yr

Remote Insurance Sales Agent | $60k-$110k+ First Year | No Cold Calling Earn strong first-year ... We may use automated tools, including artificial intelligence (AI), to screen and assess candidates.

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Virtual Care Veterinarian (Remote)

Hagerstown, MD · Remote

$50 - $80/hr

... weekend availability. You'll be supported by our Clinical Director, Vet Support team, and a ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Weekend Remote Artificial Intelligence information

See Frederick, MD salary details

$42.8K

$81.3K

$132.2K

How much do weekend remote artificial intelligence jobs pay per year?

As of Aug 23, 2026, the average yearly pay for weekend remote artificial intelligence in Frederick, MD is $81,259.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $107,900.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Weekend Remote Artificial Intelligence jobs in Frederick, MD?

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

What job categories do people searching Weekend Remote Artificial Intelligence jobs in Frederick, MD look for?

The top searched job categories for Weekend Remote Artificial Intelligence jobs in Frederick, MD are:

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

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

Weekend Remote Artificial Intelligence jobs near you

Software Engineer III, Artificial Intelligence

X Energy LLC

Rockville, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 hours ago

Job description

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/. We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us.
Job Description
This role is responsible for contributing to X-energy's Artificial Intelligence (AI) Solutions Tiger Team that accelerates XE-100 nuclear reactor development workflows across business and engineering functions. Working under the leadership of the Artificial Intelligence function in a collaborative tiger team environment, this position requires expertise in at least one of the following areas: front-end development, agentic AI, data/systems integration, ML-Ops, or product management. The position will work closely with colleagues to rapidly develop and deploy AI solutions that enhance engineering productivity, knowledge management, and decision support across X-energy.
Job Profile Tasks/Responsibilities:
  • Work collaboratively in a tiger team environment to rapidly develop production-ready AI solutions.
  • Contribute to the design and implementation of autonomous AI systems that enhance XE-100 reactor development.
  • Document solutions and support knowledge transfer to relevant technical teams.
  • Implement and maintain development best practices and quality standards.
  • Perform work in accordance with X-energy quality assurance procedures.
  • Maintain professional demeanor and behavior at all times in all forms of communication.
  • Perform other duties as assigned by manager.
  • Perform additional duties based on area of assignment:
    • Front-end Development:
      • Design and implement user interfaces using React, TypeScript, Tailwind CSS, and Vite.
      • Develop full-stack solutions connecting frontend interfaces to AWS backend services.
      • Create responsive dashboards and visualization tools for engineering workflows and AI agent interactions.
      • Implement real-time communication through WebSockets and REST APIs.
      • Architect maintainable, scalable frontend solutions for technical applications.
      • Implement secure authentication and authorization systems for enterprise applications.
      • Create and maintain CI/CD pipelines for web applications.
    • Agentic AI:
      • Design and implement autonomous agent architectures using AWS Bedrock and related services.
      • Develop multi-turn agentic workflows optimized for engineering and business contexts.
      • Create systems for agent reasoning, planning, memory management, and tool calling.
      • Implement RAG and graph-RAG systems for enhanced knowledge retrieval.
      • Develop frameworks with LangChain, LangGraph, and AWS Strands for complex workflows.
      • Implement safety and alignment protocols for autonomous systems in engineering contexts.
      • Research and implement cutting-edge techniques in autonomous agent development.
    • Data & Systems Integration:
      • Design and implement AWS-based data lakes supporting AI workloads.
      • Develop ETL workflows using AWS Glue, Aurora, DynamoDB and related services.
      • Create data pipelines connecting engineering and business systems to AI platforms.
      • Design schemas and data models optimized for AI applications and agent access.
      • Create integration frameworks between different engineering platforms and data models.
      • Implement data warehousing solutions to support business intelligence.
      • Develop secure access patterns for sensitive engineering and corporate data.
    • ML - Ops:
      • Create automated deployment pipelines using modern CI/CD tools.
      • Develop monitoring systems for application performance and reliability.
      • Implement versioning and governance for code and dependencies using version control systems.
      • Design and maintain continuous integration workflows.
      • Establish cloud development lifecycle practices across platforms.
      • Create testing frameworks for validating system behavior in serverless environments.
      • Configure and optimize container orchestration services for application deployment.
    • Product Management:
      • Develop detailed technical specifications for AI products and solutions.
      • Create and maintain product roadmaps aligned with engineering needs.
      • Serve as technical liaison between development team and internal customers.
      • Define and track product metrics and success criteria.
      • Develop product strategy and positioning for AI solutions.
      • Create training materials and documentation for users.
      • Design go-to-market strategies for internal AI solution adoption.
      • Evaluate and select appropriate AWS services for solution architecture.
      • Develop AWS cost optimization strategies and resource planning.
      • Create integration strategies between AWS services and existing systems.
      • Design and document API specifications and technical requirements.
      • Create system architecture diagrams and technical documentation.
      • Develop technical prototypes and proof-of-concepts using appropriate frameworks.
      • Perform technical analysis of competing solutions and technologies.
      • Conduct technical reviews and code walkthroughs with engineering teams.
      • Implement performance testing methodologies and benchmarking strategies.
      • Create technical acceptance criteria for feature development.
      • Design data models and database schemas to support product features.
      • Develop technical migration plans for system upgrades.

Job Profile Minimum Qualifications:
  • Bachelor's degree in computer science, artificial intelligence, or related field from an accredited university or college.
  • Experience with Git, GitLab, CI/CD, and modern development workflows.
  • Proficiency with Jira, Confluence, and AI-enhanced development environments.
  • Experience working in collaborative, fast-paced development teams.
  • Strong communication skills and ability to explain complex technical concepts.
  • Additional qualifications based on assigned area:
    • Front-end Development:
      • Strong expertise in React, TypeScript, and modern JavaScript development.
      • Experience with Vite, Bun, and Tailwind CSS.
      • Proficiency in implementing WebSockets and REST APIs.
      • Background developing user interfaces for technical or engineering applications.
      • Experience with AWS services for web application deployment.
    • Agentic AI:
      • Deep expertise in modern large language models and agent architectures.
      • Experience implementing multi-turn agentic workflows.
      • Proficiency with RAG and graph-RAG implementations.
      • Experience with LangChain, LangGraph, AWS Strands, or similar frameworks.
      • Strong understanding of AWS AI services, particularly AWS Bedrock.
      • Background in developing AI systems for practical business applications.
    • Data & Systems Integration:
      • Strong experience designing and implementing data lakes and ETL processes.
      • Deep expertise in AWS data services including Glue, Aurora, DynamoDB, and S3.
      • Background in integrating diverse systems and data sources.
      • Experience with API design and implementation.
      • Proficiency with data modeling and schema design for varied workloads.
      • Understanding of data security and governance best practices.
    • ML-Ops:
      • Background in deploying and monitoring applications in production environments.
      • Knowledge of versioning systems for code and dependencies.
      • Experience with continuous integration and DevOps tools.
      • Understanding of cloud development lifecycle practices.
      • Background in testing frameworks for systems.
      • Experience with cloud-based monitoring and alerting solutions.
      • Proficiency with cloud deployment services and containerization.
    • Product Management:
      • Experience in technical product management for software or AI products.
      • Background creating product roadmaps and specifications.
      • Experience serving as technical liaison with customers.
      • Knowledge of product metrics definition and tracking.
      • Understanding of go-to-market strategy development.
      • Experience creating training materials and documentation.
      • Familiarity with AWS service portfolio and selection strategies.
      • Experience with AWS solution architecture and cloud cost management.
      • Background in AWS integration planning for enterprise applications.
      • Proficiency in technical writing and API documentation.
      • Experience with system architecture design and diagramming tools.
      • Background in software development or programming.
      • Knowledge of database design and data modeling principles.
      • Experience creating technical prototypes or proof-of-concepts.
      • Understanding of software testing methodologies and performance benchmarking.
      • Background in system integration and technical requirements gathering.
      • Experience with technical acceptance testing and validation.

Position Level Minimum Qualifications:
  • Typically, five years of experience in a relevant role required.

Location: 9801 Washingtonian Blvd, Gaithersburg, MD
Work Site Expectations: 3 days in office
Travel Expectations: Up to 5%
Hours: Standard office hours are 8:00am - 5:00pm ET, Monday - Friday
Compensation
As required by Maryland and other applicable state law, X Energy, LLC (X-energy) lists the expected compensation range for a publicly advertised job opportunity based upon the job requirements (e.g. education/training, experience, skill sets, etc.). Individual candidates who meet the job requirements for the posted position will be offered a salary within this range based on their respective levels of education/training, experience, and other qualifications unique to them. Salary ranges may vary based on the specific office location and region referenced in the posting to take into consideration differences in cost of living and may not be reflective of all regions. Please note that compensation ranges listed for US job postings reflect base salary only and do not include benefits or other incentives.
Offers within the posted salary range are commensurate with the individual's qualifications for the position, along with a view on internal equity, market data, and room for growth. The salary range for this position is:
$122,000- $180,000
Position Job Classification
Full time - Exempt
Benefits
X Energy, LLC offers a robust benefits package that includes a 401K plan with an employer match, Medical/Dental /Vision Insurance, Life and Disability Insurance, Paid Time Off, and a Tuition Reimbursement/Professional Development policy that supports the continuing education of our employees.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
X Energy, LLC participates in E-Verify. Please visit the links below for more information about E-Verify and the protection of your Right to Work.
Right To Work Link: If you have the right to work, don't let anyone take it away (e-verify.gov)
E-Verify Participation Link: E-Verify Participation Poster English and Spanish

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