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Remote Reinforcement Learning Jobs in Columbus, OH

Blue Star Partners

Workday Training Lead

Columbus, OH · On-site +1

$70 - $80/hr

Candidates must be in Indiana, Kentucky, Maryland, Ohio, Pennsylvania, or Virginia Hybrid/Remote ... The ideal candidate brings strong HRIS training experience, deep understanding of adult learning ...

All JobsReinforcement Learning JobsRemote Reinforcement Learning JobsRemote Reinforcement Learning Jobs in Columbus, OH

Remote Reinforcement Learning information

See Columbus, OH salary details

$10.6K

$81K

$135.2K

How much do remote reinforcement learning jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote reinforcement learning in Columbus, OH is $81,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $134,300.00 per year, depending on experience, location, and employer.

What is a remote reinforcement learning?

A Remote Reinforcement Learning job involves developing and applying reinforcement learning algorithms while working from a location outside of a traditional office environment. Professionals in this field focus on creating systems where agents learn optimal behaviors through trial and error, often using feedback from their environment. These jobs typically require expertise in machine learning, programming, and mathematics, and are commonly found in industries like robotics, gaming, and autonomous systems. Working remotely allows researchers and engineers to collaborate with global teams using digital tools and platforms.

What are the key skills and qualifications needed to thrive as a remote reinforcement learning engineer?

To thrive as a Remote Reinforcement Learning Engineer, you need a strong background in machine learning, statistics, and programming (especially Python), often supported by an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and RL-specific libraries like OpenAI Gym, along with experience using cloud computing platforms, is typically required. Excellent problem-solving skills, self-motivation, and effective remote communication help individuals excel in distributed teams. These skills ensure the successful design, implementation, and deployment of reinforcement learning solutions while collaborating efficiently in a remote work environment.

What is the difference between Remote Reinforcement Learning vs Remote Machine Learning Engineer?

AspectRemote Reinforcement Learning
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; knowledge of RL algorithms
Work EnvironmentResearch-focused, experimental, often involves simulation and algorithm development
Employer & Industry UsageTech companies, research labs, AI startups focusing on autonomous systems
Common Search & Comparison IntentUnderstanding specialized AI roles, research focus, and technical skills

Remote Reinforcement Learning specialists focus on developing algorithms that enable machines to learn through trial and error in simulated or real environments. In contrast, Remote Machine Learning Engineers typically work on deploying and optimizing various machine learning models across applications. While both roles require strong programming skills and knowledge of AI, reinforcement learning emphasizes decision-making processes, whereas machine learning engineering covers a broader range of models and deployment strategies.

What are common challenges faced when working remotely in a reinforcement learning role and how can they be addressed?

Working remotely in a Reinforcement Learning role often involves overcoming communication barriers with cross-functional teams, managing large-scale experiments without on-site resources, and staying updated with rapidly evolving research. To address these challenges, it's important to establish regular check-ins with colleagues, utilize cloud-based platforms for experiment management, and participate in virtual seminars or journal clubs. Developing strong self-motivation and time management skills is also crucial to maintain productivity in a remote environment.
What are the most commonly searched types of Reinforcement Learning jobs in Columbus, OH? The most popular types of Reinforcement Learning jobs in Columbus, OH are:
What are popular job titles related to Remote Reinforcement Learning jobs in Columbus, OH? For Remote Reinforcement Learning jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Reinforcement Learning jobs in Columbus, OH look for? The top searched job categories for Remote Reinforcement Learning jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Reinforcement Learning jobs? Cities near Columbus, OH with the most Remote Reinforcement Learning job openings:
Remote Reinforcement Learning jobs near you
Infographic showing various Remote Reinforcement Learning job openings in Columbus, OH as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,025 per year, or $39 per hour.

Workday Training Lead

Blue Star Partners

Columbus, OH • On-site, Remote

$70 - $80/hr

Full-time

Re-posted 18 days ago

Job description

Job Title: Workday Training Lead
Location: Candidates must be in Indiana, Kentucky, Maryland, Ohio, Pennsylvania, or Virginia
Hybrid/Remote: Columbus, OH or Merrillville, IN, but open to non-local candidates who are willing to travel bi-weekly
Period: Now - 12/31/2026 (strong likelihood of extension)
Hours/Week: 40 hours
Rate: $70 - $80/hour
Contract Type: W-2 only, no visa sponsorships or subcontracting
Position Overview
We are seeking an experienced Workday Training Lead to develop, implement, and manage the end-to-end training strategy for a Workday implementation, with additional focus on Time Tracking, Absence and Payroll modules.
This role will partner closely with the project team, HR, Payroll, IT, and business stakeholders to ensure users are fully prepared for system adoption. The Training Lead will conduct training needs assessments, develop training materials, coordinate and deliver training sessions, implement a train-the-trainer model, and measure program effectiveness.
The ideal candidate brings strong HRIS training experience, deep understanding of adult learning principles, strong Excel skills (VLOOKUP and tables), and and hands-on experience supporting enterprise system implementations.
Key ResponsibilitiesTraining Strategy & Planning
  • Develop and execute a comprehensive training strategy for Workday Time Tracking, Absence, and Payroll modules.
  • Tailor training approaches to different user groups (HR, Leaders, Employees, Administrators).
  • Define training objectives, success metrics, and adoption benchmarks aligned to business goals.
  • Develop and manage an overall training workplan, coordinating support from internal and/or external instructional designers.

Needs Assessment & Content Development
  • Conduct formal training needs assessments to identify skill gaps and readiness levels.
  • Develop high-quality training materials including user guides, job aids, quick reference sheets, training manuals, presentations, FAQs, and self-service resources.
  • Partner with SMEs and project teams to ensure technical accuracy and business relevance.
  • Support light instructional design work as needed to refine curriculum and content.

Training Delivery & Coordination
  • Lead engaging virtual and in-person training sessions prior to go-live.
  • Coordinate training logistics, scheduling, and participant registration.
  • Deliver interactive sessions incorporating live demos, hands-on exercises, and blended learning techniques.
  • Develop and execute a structured train-the-trainer program to enable internal trainers to facilitate sessions independently.

User Support & Documentation
  • Provide post-training support including troubleshooting assistance and reinforcement training.
  • Maintain training records, completion tracking, and participant feedback documentation.
  • Develop and maintain ongoing documentation and self-service resources.

Monitoring, Evaluation & Continuous Improvement
  • Measure training effectiveness through feedback surveys, assessments, and system adoption metrics.
  • Continuously refine training strategy based on feedback and business needs.
  • Provide regular progress updates to project leadership and ensure alignment with implementation timelines.

Stakeholder Collaboration
  • Partner with HR, Payroll, IT, Change Management, and business leaders to align training with system design and operational processes.
  • Support smooth system adoption and organizational transition efforts.

Required Qualifications
  • Minimum 5 years of experience delivering enterprise software or HRIS training programs.
  • Hands-on experience supporting Workday implementations, particularly Time Tracking, Absence, and/or Payroll modules.
  • Experience developing and executing structured train-the-trainer programs.
  • Strong knowledge of adult learning principles and training methodologies.
  • Proven ability to lead cross-functional collaboration across HR, IT, and business teams.
  • Excellent communication skills with the ability to translate complex system functionality into clear, user-friendly training.
  • Strong Excel skills (VLOOKUP and tables)

Preferred Qualifications
  • Workday Certification.
  • Experience supporting large-scale system go-lives or upgrades.
  • Instructional design experience.
  • Familiarity with Learning Management Systems (LMS) and training tracking tools.
  • Certified Professional in Learning and Performance (CPLP) or similar credential.
  • PMP or Agile certification.

Key Skills & Competencies
  • Training Strategy Development
  • HRIS / Workday Training Expertise
  • Adult Learning & Instructional Design
  • Facilitation (Virtual & In-Person)
  • Stakeholder Engagement
  • Change Enablement & Adoption Support
  • Program Evaluation & Continuous Improvement
  • Cross-Functional Collaboration

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