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Remote Learning Development Jobs in McKinney, TX

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Flexible work options, including remote and hybrid opportunities, if eligible * Retirement Plan ... of model development, including design, model implementation, validation, calibration ...

US-REMOTE with the ability to travel up to 30% What You'll Do: * Lead EUT programs and workstreams ... Apply adult learning, instructional design, learning experience, competency development ...

Learning & Development programs * And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work #LI-Remote

Showing results 21-40

Remote Learning Development information

See McKinney, TX salary details

$17

$34

$71

How much do remote learning development jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote learning development in McKinney, TX is $34.90, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $50.43 per hour, depending on experience, location, and employer.

What is a remote learning development?

A Remote Learning Development job involves designing, creating, and managing online learning experiences for employees, students, or organizations. Professionals in this role develop e-learning courses, training materials, and interactive content using instructional design principles and digital tools. They work with subject matter experts to ensure course content is engaging and effective. This role often requires proficiency in learning management systems (LMS), multimedia production, and educational technology. It is ideal for those with a background in education, instructional design, or digital media.

What are the key skills and qualifications needed to thrive in remote learning development?

To excel in Remote Learning Development, you need a strong background in instructional design, curriculum development, and educational technology, often supported by a relevant degree or certification. Familiarity with Learning Management Systems (LMS), authoring tools like Articulate or Captivate, and collaboration platforms is typically required. Excellent communication, creativity, and time management skills enable successful course development and effective remote teamwork. These capabilities are crucial for designing engaging online learning experiences that meet diverse learner needs in virtual environments.

What are some common challenges faced in remote learning development roles, and how can they be addressed?

A common challenge in Remote Learning Development is ensuring high levels of learner engagement when designing courses for online platforms. Team members also often collaborate across different time zones and may face communication barriers without in-person interaction. To overcome these challenges, effective use of interactive multimedia, clear communication strategies, and regular feedback loops are essential. Professionals in this role frequently participate in ongoing training and team meetings to stay aligned on project goals and evolving best practices. Adapting to new technologies and maintaining flexibility are key to delivering impactful learning experiences remotely.

What are the most commonly searched types of Learning Development jobs in McKinney, TX?

The most popular types of Learning Development jobs in McKinney, TX are:

What are popular job titles related to Remote Learning Development jobs in McKinney, TX?

For Remote Learning Development jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Remote Learning Development jobs in McKinney, TX look for?

The top searched job categories for Remote Learning Development jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Remote Learning Development jobs?

Cities near McKinney, TX with the most Remote Learning Development job openings:

Infographic showing various Remote Learning Development job openings in McKinney, TX as of August 2026, with employment types broken down into 14% Internship, 62% Full Time, 17% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,588 per year, or $34.9 per hour.

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at talent@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008