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Ai Math Trainer Jobs in Dallas, TX (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Perform data preprocessing, feature engineering, model training, and evaluation. * Build AI/ML ... Engineering, Mathematics, or a related technical field. * Master''s degree preferred. Ideal ...

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Varsity Tutors

Artificial Intelligence (AI) Tutor

Allen, TX · Remote

$18 - $40/hr

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

Plano, TX · Remote

$18 - $40/hr

Skilled at breaking down neural network architectures, training optimization, and model evaluation ... Emphasizes connecting mathematical foundations to practical implementation and applies AI to health ...

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All JobsAi Math Trainer JobsAi Math Trainer Jobs in Dallas, TX

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How much do ai math trainer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for ai math trainer in Dallas, TX is $24.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $26.15 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of an AI Math Trainer?

As an AI Math Trainer, your typical day involves curating and creating high-quality mathematical content, annotating datasets, and designing training materials to enhance the performance of mathematical AI models. You may collaborate closely with data scientists, AI engineers, and product teams to identify gaps in AI understanding and tailor your training resources accordingly. Reviewing model outputs for accuracy and providing detailed feedback are also important aspects of the role. This position offers a dynamic work environment that blends technical expertise with educational oversight, allowing you to directly impact the development and improvement of advanced AI solutions.

What is an AI Math Trainer?

An AI Math Trainer is responsible for developing, curating, and refining mathematical problems and solutions to train AI models. They ensure that AI systems understand and generate accurate mathematical reasoning by reviewing datasets, annotating problems, and validating AI-generated responses. This role requires strong math skills, attention to detail, and the ability to work with AI development teams. AI Math Trainers help improve AI's ability to handle mathematical concepts across various difficulty levels.

What are the key skills and qualifications needed to thrive as an AI Math Trainer?

To thrive as an AI Math Trainer, you need a strong background in mathematics, machine learning, and data analysis, usually supported by a degree in mathematics, computer science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), scripting languages (like Python), and experience with data labeling or annotation platforms is highly valuable. Excellent communication, attention to detail, and problem-solving abilities are important soft skills for this role. These skills ensure that complex mathematical concepts are accurately translated and effectively used to train AI models, leading to high-quality, reliable AI systems.

What are the most commonly searched types of Ai Math Trainer jobs in Dallas, TX?

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Ai Math Trainer jobs near you
Infographic showing various Ai Math Trainer job openings in Dallas, TX as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $50,899 per year, or $24.5 per hour.

Principal Physics Consultant - AI Training

micro1 AI

Plano, TX • Remote

$80 - $160/hr

Part-time

Posted 11 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.

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