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Ai Jobs in Virginia (NOW HIRING)

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

AI/ML Engineer Clearance: Must hold an existing active TS/SCI with required polygraph (US Citizenship required) Location: McLean, VA Onsite Daily Salary: 180,000-250,000 Commensurate with experience ...

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Ai information

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How much do ai jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai in Virginia is $60.88, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $67.69 per hour, depending on experience, location, and employer.

What is an AI?

An AI job involves working with artificial intelligence technologies to develop, implement, and optimize machine learning models, algorithms, and automation systems. Professionals in this field may work as AI engineers, researchers, data scientists, or machine learning specialists. Responsibilities often include data analysis, model training, natural language processing, and computer vision tasks. AI jobs exist in various industries, including healthcare, finance, robotics, and cybersecurity.

What are the key skills and qualifications needed to thrive in the AI position, and why are they important?

To excel as an AI (Artificial Intelligence) Specialist, a solid background in computer science, mathematics, and machine learning principles, often with a relevant degree or higher, is essential. Experience with programming languages like Python or R, familiarity with machine learning frameworks (such as TensorFlow or PyTorch), and certifications in AI or data science are highly valued. Analytical thinking, creativity, and effective communication help professionals in this role translate complex data into actionable solutions and collaborate with cross-functional teams. Mastering these skills ensures innovative problem-solving and the successful development and deployment of AI solutions in real-world applications.

What are the typical career progression paths for professionals working in AI roles?

Career progression in AI typically starts with roles such as AI Researcher, Machine Learning Engineer, or Data Scientist, advancing to senior positions like AI Architect, Principal Data Scientist, or AI Project Lead as you gain expertise and experience. Many professionals also transition into specialized areas, including natural language processing, computer vision, or robotics, or move into management and leadership positions overseeing AI initiatives. Continuous learning and certification in emerging AI technologies help accelerate advancement. The dynamic nature of AI means there are abundant opportunities to shape your career path based on your interests and evolving industry needs.

How do I start a career in AI?

To start a career in AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining experience through online courses, certifications, and projects, as well as staying updated with industry tools like TensorFlow or PyTorch, can help build relevant skills for entry-level roles.

What are the most commonly searched types of Ai jobs in Virginia?

The most popular types of Ai jobs in Virginia are:

What cities in Virginia are hiring for Ai jobs?

Cities in Virginia with the most Ai job openings:

Infographic showing various Ai job openings in Virginia as of August 2026, with employment types broken down into 7% Internship, 86% Full Time, and 7% Contract. Highlights an 63% In-person, and 37% Remote job distribution, with an average salary of $126,624 per year, or $60.9 per hour.

AI Training Specialist - Cheminformatics

micro1 AI

Newport News, VA • Remote

$80 - $110/hr

Part-time

Posted 21 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.