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Ai Math Trainer Jobs in Ohio (NOW HIRING)

Statheros

Build robust pipelines for training, evaluation, and deployment of RL models. * Document workflows ... Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related ...

Tata Consultancy Services

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... model training, and deployment. • Work with large datasets: clean, transform, and analyze ... Math, or related field. • Strong Python programming skills (experience with libraries such as ...

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

... training or fine-tuning, and feedback loop. * Evaluate Large Language Models and systems for ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

... training or fine-tuning, and feedback loop. * Evaluate Large Language Models and systems for ... Bachelor's Degree in Computer Science, Engineering, Mathematics, or related field. * At least 7 ...

1872.ai

Robotic Fabrication Tech

Cincinnati, OH

About the job Robotic Fabrication Tech At 1872 AI, we are transforming industrial manufacturing in ... Participate in training programs to develop skills in precision fabrication and robotic ...

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Ai Math Trainer information

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 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 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 Ohio?

The most popular types of Ai Math Trainer jobs in Ohio are:

What are popular job titles related to Ai Math Trainer jobs in Ohio?

For Ai Math Trainer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Ai Math Trainer jobs in Ohio look for?

The top searched job categories for Ai Math Trainer jobs in Ohio are:

What cities in Ohio are hiring for Ai Math Trainer jobs?

Cities in Ohio with the most Ai Math Trainer job openings:

Ai Math Trainer jobs near you
Infographic showing various Ai Math Trainer job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Artificial Intelligence (AI) Engineer / Developer (Remote)

On-site, Remote

Statheros
See more jobs at Statherosexternal

Contractor

Re-posted 18 days ago

Job description

About Us
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
  • Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
  • Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
  • Collaborate with cross-functional teams to integrate PPO models into production systems.
  • Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
  • Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
  • Build robust pipelines for training, evaluation, and deployment of RL models.
  • Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
  • Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
  • Experience:
    • 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
    • Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
    • Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
  • Technical Skills:
    • Strong programming skills in Python; familiarity with Rust or other languages is a plus.
    • Proficiency in designing and running RL experiments in simulated or real-world environments.
    • Experience with distributed training systems for reinforcement learning.
    • Solid understanding of policy gradient methods and reinforcement learning theory.
  • Soft Skills:
    • Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
    • Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
  • Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
  • Familiarity with OpenAI Gym, RLlib, or other RL development environments
  • Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
  • Remote work location.
  • Competitive salary.
  • Flexible work schedule.
  • Opportunities for professional development and research contributions
  • Access to state-of-the-art resources and tools for AI development.
  • The chance to work on groundbreaking projects with a talented and passionate team.

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