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Remote Ai Math Trainer Jobs in Tennessee (NOW HIRING)

micro1 AI

M&A Attorney - AI Trainer - Remote

Nashville, TN · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Knoxville, TN · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

M&A Attorney - AI Trainer - Remote

Memphis, TN · Remote

$80 - $105/hr

Remote We are seeking seasoned M&A attorneys for a part-time role at the forefront of legal AI ... Prior exposure to AI, legal tech, or training initiatives. * Experience working with private equity ...

micro1 AI

First-Person AI Video Trainer

Memphis, TN · Remote

$13/hr

Remote - experts based in Alabama, Arkansas, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky ... No prior experience in AI is required -- your domain knowledge is what matters. Key ...

micro1 AI

Software Engineer - AI Trainer

Memphis, TN · Remote

$100 - $230/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

micro1 AI

Software Engineer - AI Trainer

Nashville, TN · Remote

$100 - $230/hr

Remote Job Summary: We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for ...

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Artificial Intelligence (AI) Engineer / Developer (Remote)

Statheros

Cookeville, TN • On-site, Remote

Contractor

Posted 29 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.
Employment Type: CONTRACTOR

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