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$19

$37

$77

How much do remote learning development jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote learning development in Wallingford, CT is $37.71, according to ZipRecruiter salary data. Most workers in this role earn between $26.01 and $54.47 per hour, depending on experience, location, and employer.

What is a Remote Learning Development job?

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 the Remote Learning Development position, and why are they important?

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.
More about Remote Learning Development jobs
What are popular job titles related to Remote Learning Development jobs in Wallingford, CT? For Remote Learning Development jobs in Wallingford, CT, the most frequently searched job titles are:
What cities near Wallingford, CT are hiring for Remote Learning Development jobs? Cities near Wallingford, CT with the most Remote Learning Development job openings:
Remote Learning Development jobs near you
Machine Learning Scientist - AI Trainer

Machine Learning Scientist - AI Trainer

DataAnnotation

Hartford, CT • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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