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Remote E Learning Developer Jobs in Tulsa, OK (NOW HIRING)

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · Remote

... developer velocity on the ML platform. Requirements * 3+ years of experience in machine learning ... Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker ...

CCT

Machine Learning Engineer (AWS)

Tulsa, OK · On-site +1

... developer velocity on the ML platform. Requirements * 3+ years of experience in machine learning ... Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker ...

Liveops

Remote Customer Service Representative

Tulsa, OK · Remote

$20/hr

Remote (US-Based) Apply today to join the 1/5/26 certification class and lock in your spot for tax ... Client-required certification is approximately 3 weeks with self-paced eLearning and live classroom ...

MasTec Industrial

Engineer, E&I

Tulsa, OK · On-site +1

$140K - $180K/yr

The position of E&I Engineer will provide technical direction to assigned design efforts pre-and ... This is a remote role and can be based anywhere in the United States. Must be able to travel up to ...

BOK Financial

Decisions Developer

Tulsa, OK · On-site +1

$70K - $85K/yr

Remote, Tulsa -TUL Areas of Interest: Wealth Management; Business/Technical Analysis Pay ... You will foster collaboration, speed, innovation, and encourage continuous learning and feedback.

Talkiatry

Psychiatrist (Remote)

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Psychiatrist (Remote)

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Volt Labs Inc.

Senior QA Engineer (Remote)

Tulsa, OK · Remote

$115K - $140K/yr

... DevOps resource. Just as important: this is a team role. Our engineering group is small, tight-knit ... Helping the broader team grow its own AI-enabled QA practices over time we're all learning together ...

Talkiatry

Remote Psychiatrist (MD/DO) - Oklahoma

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Remote Psychiatrist (MD/DO) - Oklahoma

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Talkiatry

Remote Psychiatrist (MD/DO) - Oklahoma

Tulsa, OK · Remote

$325K - $375K/yr

Comfort with learning streamlined clinical technology * Strong clinical judgement, communication ... E-Verify Talkiatry participates in E-Verify and will provide the federal government with your Form ...

Varsity Tutors

Web Development Tutor

Tulsa, OK · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... engineering careers. * Conceptual Teaching & Problem-Solving: Skilled at teaching full-stack ...

Enovation Controls LLC

PCB Designer

Tulsa, OK · On-site +1

Tulsa, OK (onsite or remote position) About Us Enovation Controls specializes in complex projects ... Enovation Controls is a learning organization that conquers complexity with high expectations and ...

Vero Networks

NOC Engineer - Tier III

Tulsa, OK · Remote

$85K - $95K/yr

This is a Remote position. * The schedule for this position is based on company requirements for ... NOTICES Vero participates in E-Verify. Vero will provide the Social Security Administration (SSA ...

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All JobsRemote E Learning Developer JobsRemote E Learning Developer Jobs in Tulsa, OK

Remote E Learning Developer information

See Tulsa, OK salary details

$10K

$76.6K

$127.9K

How much do remote e learning developer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote e learning developer in Tulsa, OK is $76,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote E Learning Developer position, and why are they important?

To thrive as a Remote E Learning Developer, you need expertise in instructional design, multimedia content creation, and strong digital literacy, often backed by a degree in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, authoring tools such as Articulate Storyline or Adobe Captivate, and relevant certifications (e.g., ATD) are highly valued. Excellent communication, time management, and self-motivation are critical soft skills for remote collaboration and project deadlines. These abilities ensure high-quality, engaging learning experiences and effective teamwork in a virtual environment.

What are some typical daily responsibilities for a Remote E Learning Developer?

As a Remote E Learning Developer, your typical day might include designing engaging online course modules, developing interactive multimedia content, and collaborating virtually with subject matter experts to ensure accuracy and effectiveness. You will often upload and manage course materials in learning management systems, troubleshoot user issues, and gather learner feedback to continuously improve content. Regular virtual meetings and check-ins with instructional designers, project managers, and other team members are common to track progress and maintain cohesive learning experiences. This remote role combines both independent task management and teamwork, making strong communication and organizational skills essential.

What is a Remote E Learning Developer job?

A Remote E Learning Developer designs, develops, and implements online educational content, such as courses, tutorials, and interactive learning materials. They use e-learning authoring tools, multimedia, and instructional design principles to create engaging training experiences. Working remotely, they collaborate with educators, subject matter experts, and organizations to tailor content for learners. Their role may also include troubleshooting technical issues, ensuring accessibility, and optimizing courses for different platforms.

What job categories do people searching Remote E Learning Developer jobs in Tulsa, OK look for? The top searched job categories for Remote E Learning Developer jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Remote E Learning Developer jobs? Cities near Tulsa, OK with the most Remote E Learning Developer job openings:
Remote E Learning Developer jobs near you
Machine Learning Engineer (AWS)

Machine Learning Engineer (AWS)

CCT

Tulsa, OK • Remote

Full-time

Posted 24 days ago

Job description

Summary
 
We’re looking for a Machine Learning Engineer to design, deploy, and operate production ML systems on Amazon Web Services. You’ll own the full lifecycle in a real-world, high-stakes environment — from training and packaging through deployment, monitoring, retraining, security, and cost control.
 
This role sits at the intersection of ML engineering and MLOps and is core to CCT’s analytics strategy. You’ll partner closely with data scientists, engineers, and product stakeholders to turn complex time-series and transactional data into reliable, observable, and cost-effective ML services that our customers can trust.
 
You’ll thrive here if you naturally dig into why models behave the way they do, enjoy tracing issues to their root cause, and like collaborating across disciplines to ship robust systems that are built to last.
What You'll Do
  • Build and maintain reproducible model training workflows on AWS (SageMaker, S3, Glue, etc.), making retraining, rollback, and experimentation routine rather than heroic.
  • Deploy and operate real-time and batch inference services with full CI/CD pipelines, versioning, and safe rollout strategies (canary, shadow, A/B) so changes are deliberate and observable.
  • Instrument production models for performance, data drift, latency, and errors — and automate retraining triggers when models drift out of tolerance.
  • Maintain model lineage, auditability, and traceability to meet the compliance, governance, and reporting needs of the regulated gaming industry.
  • Enforce least-privilege IAM, encryption, and secure data access patterns across the entire ML platform.
  • Treat cost as a first-class engineering metric — right-size infrastructure, balance batch vs. real-time workloads, and continually reduce platform spend without sacrificing reliability.
  • Collaborate with engineers, data scientists, and product teams to translate business problems into ML solutions, communicate tradeoffs clearly, and iterate based on feedback.
  • Continuously explore new AWS services, ML frameworks, and deployment patterns to improve reliability, observability, and developer velocity on the ML platform.
Requirements
  • 3+ years of experience in machine learning engineering, MLOps, or a closely related discipline.
  • Hands-on experience with AWS ML and data services — SageMaker (training, endpoints, pipelines), S3, Lambda, Step Functions, CloudWatch, MWAA (Apache Airflow).
  • Experience working with time series data, including feature engineering, seasonality handling, and temporal train/test splits.
  • Strong Python skills and familiarity with common ML frameworks (scikit-learn, PyTorch, XGBoost, or equivalent).
  • Experience building and maintaining CI/CD pipelines for ML systems.
  • Demonstrated ability to monitor and debug production ML systems — latency, drift, errors, and data quality — and drive issues to root cause.
  • Comfort with SQL and working with structured data at scale.
  • Able to work collaboratively across teams, assume positive intent, and communicate clearly with both technical and non-technical stakeholders.
  • Track record of self-directed learning and technical growth in areas like AWS, ML frameworks, or deployment patterns.
Certified Banana Picker 
 
Nice to Have
  • Experience in a regulated industry (gaming, finance, healthcare) where auditability, explainability, and compliance are first-class concerns.
  • Familiarity with feature stores, model registries, or ML metadata tools (e.g., MLflow, SageMaker Model Registry).
  • Experience with infrastructure-as-code (Terraform, CDK, or CloudFormation).
  • Exposure to data drift detection libraries or custom drift monitoring implementations.
Success Looks Like
  • Production models run reliably with clear, measurable business impact for casino operators.
  • Failures are observable, recoverable, and explainable — with logs, metrics, and traces that tell the full story.
  • ML systems scale predictably with usage and data volume, without runaway cost.
  • The ML platform becomes a trusted, well-understood part of CCT’s product ecosystem — for both internal teams and external customers.

About CCT 

CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems—delivering measurable ROI and empowering teams to work smarter at every level. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.