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Learning Content Designer

QuantHub
Full-time
Remote
Worldwide
🎨 Brand & Creative Marketing

πŸ“Œ Core Information

πŸ”Ή Job Title: Learning Content Designer

πŸ”Ή Company: QuantHub

πŸ”Ή Location: United States (Remote)

πŸ”Ή Job Type: Full-Time

πŸ”Ή Category: Education, Instructional Design

πŸ”Ή Date Posted: April 26, 2025

πŸ”Ή Experience Level: Mid-Level (2-5 years)

πŸ”Ή Remote Status: Remote OK

πŸš€ Job Overview

Key aspects of this role include:

  • Designing engaging learning content using AI tools and structured formats
  • Collaborating with instructional designers and subject matter experts
  • Creating content that supports knowledge acquisition, retention, and application
  • Working with generative AI platforms to accelerate content development

ASSUMPTION: This role requires a balance of instructional design expertise and technological fluency, with a focus on leveraging AI tools for content creation and refinement.

πŸ“‹ Key Responsibilities

βœ… Design and deliver articles based on validated learning outcomes

βœ… Leverage AI tools to create and refine content

βœ… Critically evaluate the instructional effectiveness of each article

βœ… Design purposeful visual elements to enhance comprehension

βœ… Structure content to contribute to a larger learning progression

βœ… Create and revise content in structured formats (HTML, JSON, markdown)

βœ… Improve content through feedback and quality checks

ASSUMPTION: This role involves a high degree of autonomy and requires strong self-management skills to balance multiple projects and deadlines.

🎯 Required Qualifications

Education: Bachelor's degree in Instructional Design, Learning Experience Design, or a related field

Experience: 2-5 years of experience in instructional design, learning experience design, or digital content development

Required Skills:

  • Familiarity with learning theory (cognitive load, scaffolding, metacognition)
  • Strong written communication skills
  • Experience using LLMs and generative AI tools
  • Comfort working in structured data/text formats (HTML, JSON, markdown)
  • Analytical mindset and attention to detail
  • Experience working in AI-powered content environments or using structured content workflows

Preferred Skills:

  • Familiarity with adaptive learning design or systems-based learning engineering
  • Background in both K-12 and higher education, or professional/corporate learning domains
  • Familiarity with using version control (e.g., Git)

ASSUMPTION: While a master's degree in a related field may be beneficial, it is not always required for this role, as relevant experience and skills are highly valued.

πŸ’° Compensation & Benefits

Salary Range: $70,000 - $90,000 per year (Based on industry standards for mid-level instructional designers with AI experience)

Benefits:

  • Health, dental, and vision insurance
  • Retirement plan with company contributions
  • Generous Paid Time Off & holidays
  • Flexible remote work environment with quarterly team gatherings
  • Professional development allowance

Working Hours: Full-time (40 hours per week) with flexible scheduling

ASSUMPTION: The salary range provided is an estimate based on industry standards for mid-level instructional designers with AI experience. Actual compensation may vary based on the candidate's specific qualifications and experience.

πŸ“Œ Applicant Insights

πŸ” Company Context

Industry: Educational Technology, Software Development

Company Size: Small (11-50 employees) - Offers a close-knit team environment with opportunities for growth and impact

Founded: 2018 - QuantHub is a relatively young company with a strong focus on innovation and growth

Company Description:

  • QuantHub is a mission-driven educational technology company dedicated to making AI-enhanced learning accessible for all
  • They specialize in creating personalized, research-based learning experiences that build practical skills through authentic applications
  • Their solutions span from higher education curriculum development to K-12 learning platforms

Company Specialties:

  • AI-enhanced learning
  • Personalized learning experiences
  • Curriculum development
  • K-12 learning platforms

Company Website: http://quanthub.com

ASSUMPTION: QuantHub's focus on AI-enhanced learning and personalized experiences makes it an attractive option for candidates interested in the intersection of education and technology.

πŸ“Š Role Analysis

Career Level: Mid-Level - This role offers opportunities for growth and development within the instructional design field

Reporting Structure: This role may report to the Director of Instructional Design or a similar position, depending on the company's organizational structure

Work Arrangement: Remote OK - Offers flexibility for candidates who prefer to work from home or have a hybrid work arrangement

Growth Opportunities:

  • Expanding skills in AI tools and learning science
  • Advancing to senior instructional design roles or management positions
  • Exploring other areas of educational technology, such as product development or user experience design

ASSUMPTION: This role offers significant growth potential for candidates interested in developing their skills in instructional design and AI-enhanced learning.

🌍 Location & Work Environment

Office Type: Remote - QuantHub offers a flexible remote work environment with quarterly team gatherings

Office Location(s): Birmingham, Alabama (Headquarters) - However, this role can be performed remotely from anywhere in the United States

Geographic Context:

  • Birmingham, Alabama - QuantHub's headquarters is located in Birmingham, a mid-sized city with a growing tech industry
  • Remote Work - This role can be performed remotely, allowing candidates to live and work from various locations across the United States
  • Time Zone - The Eastern Time Zone is preferred for better collaboration with the team, but other time zones may be considered

Work Schedule: Full-time (40 hours per week) with flexible scheduling - QuantHub offers a flexible work environment that allows employees to balance their personal and professional lives

ASSUMPTION: While QuantHub's headquarters is located in Birmingham, Alabama, the remote nature of this role allows candidates to live and work from various locations across the United States, providing flexibility and convenience.

πŸ’Ό Interview & Application Insights

Typical Process:

  • Resume screening and phone/Zoom interview
  • Take-home assignment or case study
  • Final interview with key stakeholders
  • Background check and offer

Key Assessment Areas:

  • Instructional design skills and experience
  • Familiarity with AI tools and learning science
  • Communication and collaboration skills
  • Cultural fit and alignment with QuantHub's mission and values

Application Tips:

  • Highlight relevant experience with AI tools and learning science in your resume and cover letter
  • Tailor your application materials to demonstrate your understanding of QuantHub's mission and values
  • Prepare for behavioral interview questions that focus on your instructional design experience and problem-solving skills
  • If given a take-home assignment or case study, approach it as an opportunity to showcase your instructional design skills and thought process

ATS Keywords: Instructional Design, Learning Science, AI Tools, Generative AI, Content Development, Structured Formats, HTML, JSON, Markdown, Learning Outcomes, Scaffolding, Metacognition, Cognitive Load

ASSUMPTION: QuantHub's interview process is designed to assess candidates' instructional design skills, experience with AI tools, and cultural fit with the company's mission and values.

πŸ› οΈ Tools & Technologies

  • AI Tools: ChatGPT, Claude, Synthesia, Canva Magic, etc.
  • Structured Formats: HTML, JSON, Markdown
  • Version Control: Git (preferred)
  • Learning Management Systems: Dependent on the specific projects and platforms QuantHub is working with

ASSUMPTION: The specific tools and technologies used in this role may vary depending on the projects and platforms QuantHub is working with at the time of application.

πŸ‘” Cultural Fit Considerations

Company Values:

  • Innovation
  • Collaboration
  • Excellence
  • Accessibility
  • Empowerment

Work Style:

  • Flexible and adaptable
  • Strong self-management skills
  • Collaborative and team-oriented
  • Committed to continuous learning and improvement

Self-Assessment Questions:

  • How do you approach using AI tools to enhance learning outcomes?
  • Can you describe a time when you had to balance multiple projects and deadlines? How did you manage your time and priorities?
  • How do you ensure that your instructional design work aligns with broader learning paths and progression?

ASSUMPTION: QuantHub values candidates who are innovative, collaborative, and committed to continuous learning and improvement, with a strong work ethic and a passion for making AI-enhanced learning accessible for all.

⚠️ Potential Challenges

  • Keeping up with the rapid evolution of AI tools and learning science
  • Managing multiple projects and deadlines in a remote work environment
  • Ensuring that content is accessible and inclusive for diverse learners
  • Balancing the need for innovation with the requirement to meet project deadlines and quality standards

ASSUMPTION: While these challenges may present obstacles, they also offer opportunities for growth and development in this role.

πŸ“ˆ Similar Roles Comparison

  • Instructional Designer - Focuses more on traditional instructional design methods and may have less emphasis on AI tools and structured content formats
  • Learning Experience Designer - May have a broader scope, including user experience design and multimedia production, in addition to instructional design
  • AI Content Specialist - Focuses primarily on using AI tools to generate and refine content, with less emphasis on instructional design principles and learning science

ASSUMPTION: This role offers a unique blend of instructional design expertise and technological fluency, with a focus on leveraging AI tools for content creation and refinement.

πŸ“ Sample Projects

  • Developing a series of engaging learning articles on AI ethics for a higher education course
  • Creating interactive learning modules on data analysis and visualization for a K-12 platform
  • Designing a learning path on machine learning for a corporate training program, using structured content formats and AI tools for content generation

ASSUMPTION: These sample projects illustrate the variety of content development tasks that may be required in this role, depending on the specific projects and platforms QuantHub is working with at the time of application.

❓ Key Questions to Ask During Interview

  • How does QuantHub support the professional development of its instructional design team?
  • Can you describe the typical workflow for content development and review in this role?
  • How does QuantHub ensure that its learning content is accessible and inclusive for diverse learners?
  • What are the most challenging aspects of working in a remote environment for the instructional design team?
  • How does QuantHub approach integrating user feedback and data-driven insights into its learning content?

ASSUMPTION: These questions are designed to help candidates better understand the work environment, team dynamics, and priorities of the instructional design team at QuantHub.

πŸ“Œ Next Steps for Applicants

To apply for this position:

  • Submit your application through this link
  • Tailor your resume and cover letter to highlight your relevant experience with AI tools and learning science
  • Prepare for behavioral interview questions that focus on your instructional design experience and problem-solving skills
  • If given a take-home assignment or case study, approach it as an opportunity to showcase your instructional design skills and thought process
  • Follow up with the hiring manager one week after submitting your application to express your interest and reiterate your qualifications

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.