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Ai Math Training Jobs in Virginia (NOW HIRING)

Capital One

Applied Researcher I

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher I

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

Capital One

Applied Researcher II

Mclean, VA · On-site

Build AI foundation models through all phases of development, from design through training ... S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related ...

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All JobsAi Math Training JobsAi Math Training Jobs in Virginia

Ai Math Training information

What is an ai math training?

An AI Math Training job involves developing, refining, and optimizing mathematical models used in artificial intelligence systems. This role often includes curating datasets, training AI algorithms, and ensuring mathematical accuracy in machine learning models. Professionals in this field typically have expertise in linear algebra, calculus, statistics, and optimization techniques. They work closely with data scientists and engineers to improve AI efficiency and reliability.

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

To thrive in an AI Math Training role, you need a strong background in mathematics, statistics, and machine learning, often supported by a degree in mathematics, computer science, or a related field. Experience with programming languages (such as Python or R), deep learning frameworks (like TensorFlow or PyTorch), and relevant AI or data science certifications are typically required. Strong analytical thinking, clear communication, and problem-solving abilities help in conveying complex concepts and collaborating with diverse teams. These skills are essential for effectively developing and training AI models that rely on advanced mathematical principles and for communicating technical findings to both technical and non-technical stakeholders.

What are some common challenges faced in an ai math training role?

One of the main challenges in an AI Math Training position is translating complex mathematical theories into practical algorithms that can be efficiently implemented in machine learning models. You may also encounter difficulties when training models on large datasets, balancing computational resources with accuracy, and ensuring models generalize well to unseen data. Collaboration with data scientists, engineers, and domain experts is frequent, requiring strong teamwork and communication skills. Staying current with rapidly evolving AI and mathematical techniques is essential for success and ongoing career development in this field.

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

The most popular types of Ai Math Training jobs in Virginia are:

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

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

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

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

What cities in Virginia are hiring for Ai Math Training jobs?

Cities in Virginia with the most Ai Math Training job openings:

Ai Math Training jobs near you
Infographic showing various Ai Math Training job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Principal Physics Consultant - AI Training

micro1 AI

Norfolk, VA • Remote

$80 - $160/hr

Part-time

Posted 19 days ago

Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts—established Professors or Principal Investigators—to provide high-level domain guidance as part of an impactful project for a customer. 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. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3–5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.

Apply