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Ai Optimization Jobs in Virginia (NOW HIRING)

micro1 AI

AI Training Specialist - Physics

Alexandria, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

micro1 AI

AI Training Specialist - Physics

Norfolk, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

Finch AI

AI/ML Engineer - TS/SCI w/Polygraph

Mclean, VA · On-site

Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. * Experience with vector databases, AWS/cloud environments, Docker ...

micro1 AI

AI Training Specialist - Physics

Hampton, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

micro1 AI

AI Training Specialist - Physics

Roanoke, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

micro1 AI

AI Training Specialist - Physics

Chesapeake, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

micro1 AI

AI Training Specialist - Physics

Suffolk, VA · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA · On-site

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance -- scalability, cost, latency, throughput -- of large scale production AI systems. * Contribute to the ...

Capital One

Lead AI Engineer (AI Foundations)

Mclean, VA

$103K - $136K/yr

Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. * Contribute to the ...

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All JobsAi Optimization JobsAi Optimization Jobs in Virginia

Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What are popular job titles related to Ai Optimization jobs in Virginia?

For Ai Optimization jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Virginia look for?

The top searched job categories for Ai Optimization jobs in Virginia are:

What cities in Virginia are hiring for Ai Optimization jobs?

Cities in Virginia with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Virginia as of August 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

AI Training Specialist - Physics

micro1 AI

Virginia Beach, VA • On-site, Remote

$80 - $150/hr

Part-time

Posted 14 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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