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Remote Product Optimization Jobs in Ohio (NOW HIRING)

Statheros

Job Responsibilities * Design, implement, and optimize Proximal Policy Optimization (PPO ... Collaborate with cross-functional teams to integrate PPO models into production systems. * Analyze ...

Motorola

Senior AI Engineer (US Remote)

New Hampshire, OH · Remote

$180K - $210K/yr

The Product Engineering area is responsible for designing, writing, testing and deploying the code ... Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability ...

OuterBox

Paid Media Strategist (Remote)

Copley, OH · On-site +1

$65K - $80K/yr

Lead client calls with accessible presentations of complex data, facilitating productive strategy ... optimization strategies & effectiveness Benefits Empowering your journey through every stage of ...

Playaway Products

Content Marketing Specialist

Solon, OH · On-site +1

... Remote or Hybrid * Solon, Ohio Company Description Playaway Products is a company built on a simple ... Optimize content using SEO best practices, audience insights, and performance data to maximize ...

Playaway Products

Content Marketing Specialist

Solon, OH · On-site +1

... Remote or Hybrid * Solon, Ohio Company Description Playaway Products is a company built on a simple ... Optimize content using SEO best practices, audience insights, and performance data to maximize ...

Playaway Products

Content Marketing Specialist

Solon, OH · On-site +1

... Remote or Hybrid * Solon, Ohio Company Description Playaway Products is a company built on a simple ... Optimize content using SEO best practices, audience insights, and performance data to maximize ...

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Remote Product Optimization information

What is a remote product optimization specialist?

A Remote Product Optimization specialist is a professional who analyzes and improves products or services for a company while working from a remote location. Their main goal is to enhance product performance, usability, and customer satisfaction by using data analysis, user feedback, and market research. They collaborate with cross-functional teams such as product managers, designers, and engineers to implement changes that drive business growth. This role often requires strong analytical skills, communication abilities, and familiarity with digital tools for remote collaboration.

What are the key skills and qualifications needed to thrive as a remote product optimization specialist?

To thrive as a Remote Product Optimization Specialist, you need strong analytical skills, experience in data-driven decision-making, and a background in marketing, business, or a related field. Familiarity with A/B testing tools, web analytics platforms like Google Analytics, and conversion rate optimization (CRO) software is typically required. Excellent communication, problem-solving abilities, and self-motivation are standout soft skills for collaborating remotely and driving project outcomes. These skills ensure effective product improvements, data-informed strategies, and successful optimization in a remote work environment.

What are the typical collaboration methods for a remote product optimization professional working with cross-functional teams?

Remote Product Optimization professionals frequently collaborate with product managers, designers, engineers, and data analysts using virtual communication tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins, virtual brainstorming sessions, and asynchronous updates are common to ensure alignment and progress toward optimization goals. Building strong communication habits and clear documentation is crucial for remote roles, as it helps bridge the gap created by physical distance and ensures that all stakeholders remain informed and engaged throughout product improvement cycles.

What is the difference between Remote Product Optimization vs Remote Data Analyst?

AspectRemote Product OptimizationRemote Data Analyst
Primary FocusImproving product performance and user experienceAnalyzing data to support business decisions
Skills & CertificationsProduct management, UX, analytics toolsData analysis, SQL, statistical skills
Work EnvironmentCollaborates with product teams, designers, developersWorks with datasets, reporting tools, dashboards
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare sectors

Remote Product Optimization focuses on enhancing product features and user experience, while Remote Data Analysts interpret data to inform strategic decisions. Both roles require analytical skills but differ in their core objectives and daily tasks.

What are popular job titles related to Remote Product Optimization jobs in Ohio?

For Remote Product Optimization jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Product Optimization jobs in Ohio look for?

The top searched job categories for Remote Product Optimization jobs in Ohio are:

What cities in Ohio are hiring for Remote Product Optimization jobs?

Cities in Ohio with the most Remote Product Optimization job openings:

Remote Product Optimization jobs near you
Infographic showing various Remote Product Optimization job openings in Ohio as of June 2026, with employment types broken down into 6% Internship, 84% Full Time, and 10% Contract. Highlights an 100% Remote job distribution.

Artificial Intelligence (AI) Engineer / Developer (Remote)

On-site, Remote

Statheros
See more jobs at Statherosexternal

Contractor

Re-posted 13 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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