Educator AI Capability Content Designer
š Job Overview
Job Title: Educator AI Capability Content Designer
Company: RMIT University
Location: Melbourne, Victoria, Australia
Job Type: Part-time, Temporary
Category: Education Technology / Content Design
Date Posted: 2026-09-03
Experience Level: Mid-Level (2-5 years implied)
Remote Status: On-site
š Role Summary
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Design and develop educational content focused on integrating Generative AI into higher education learning and teaching methodologies.
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Translate complex and emerging AI concepts into clear, practical, and engaging learning resources for adult learners.
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Synthesize source material from interviews, consultations, and research into structured content, adhering to established frameworks and templates.
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Collaborate effectively with academic and professional staff to gather requirements and incorporate feedback to ensure high-quality content delivery.
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Ensure all developed content meets digital accessibility standards and is compatible with learning management systems.
š Enhancement Note: While the title "Educator AI Capability Content Designer" is specific, the core responsibilities and required skills strongly align with the field of Instructional Design and Educational Technology, particularly within a higher education context. The emphasis on Generative AI integration points to a forward-looking role focused on upskilling educators in emergent technologies. The "Part time" and "Casual hours" nature of the engagement suggests a project-based or as-needed role, common for specialized content development.
š Primary Responsibilities
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Develop comprehensive learning content that guides educators in effectively and ethically integrating Generative AI tools into their curriculum and teaching practices.
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Conduct thorough research, interviews, and consultations with subject matter experts (academic and professional staff) to gather necessary information for content creation.
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Write, edit, and proofread educational materials to ensure clarity, accuracy, consistency in voice, structure, and adherence to quality standards.
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Adapt content for various digital learning platforms, including SharePoint, Canvas, or comparable systems, ensuring user-friendliness and accessibility.
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Manage multiple content development deliverables concurrently, ensuring timely completion within short, fixed timeframes characteristic of casual or project-based engagements.
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Stay abreast of advancements in Generative AI, its applications in education, and its ethical implications to inform content development.
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Collaborate with instructional designers, subject matter experts, and other stakeholders to review and refine content based on feedback.
š Enhancement Note: The responsibility to "write clearly about complicated things" and "take teaching seriously" highlights a need for pedagogical understanding beyond mere technical writing. The role requires translating academic discourse on AI into actionable guidance for educators. The emphasis on "synthesizing source material" suggests a need for strong research and analytical skills, akin to content strategists or research-focused instructional designers.
š Skills & Qualifications
Education: While no specific degree is mandated, a background in Education, Instructional Design, Communications, Technical Writing, or a related field is highly beneficial. Experience in higher education is a strong asset.
Experience: Demonstrated experience in designing and writing educational or professional learning content for adult learners is essential.
Required Skills:
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Proven experience in designing and writing educational or professional learning content for adult learners.
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Ability to translate complex or emerging concepts into clear, practical, and engaging resources.
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Working knowledge of Generative AI tools, including their capabilities, limitations, and ethical considerations.
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Understanding of how Generative AI is being applied in higher education learning and teaching.
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Demonstrated ability to gather source material through interviews, consultation, and desk research.
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Skill in synthesizing information into concise, structured content following established frameworks or templates.
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Strong writing and editing skills with excellent attention to detail.
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Ability to maintain consistency of voice, structure, and quality across a body of related resources.
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Proficiency with digital content and learning platforms such as SharePoint, Canvas, or comparable systems.
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Sound understanding of digital accessibility requirements (e.g., WCAG standards).
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Demonstrated ability to work independently and manage multiple deliverables concurrently.
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Ability to complete work to a high standard within short, fixed timeframes.
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Excellent communication and interpersonal skills for effective stakeholder engagement and feedback incorporation. Preferred Skills:
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Experience in instructional design methodologies (e.g., ADDIE, SAM).
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Familiarity with Learning Management System (LMS) administration or content integration.
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Experience in curriculum development for higher education.
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Knowledge of emerging educational technologies beyond Generative AI.
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Project management skills for managing content development timelines.
š Enhancement Note: The required skills emphasize a blend of creative content development, technical proficiency with learning platforms, and a solid understanding of both adult learning principles and the rapidly evolving landscape of Generative AI in education. The ability to work independently and manage tight deadlines is critical for a casual, as-needed role.
š Process & Systems Portfolio Requirements
Portfolio Essentials:
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A curated portfolio showcasing a range of educational or professional learning content designed for adult learners.
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Examples demonstrating the ability to translate complex topics into accessible and engaging formats.
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Case studies or project examples that highlight the process of gathering source material, synthesizing information, and structuring content.
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Samples of work that illustrate strong writing, editing, and attention to detail, showing consistency in voice and quality.
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Evidence of content developed for digital platforms, ideally including examples that consider digital accessibility standards. Process Documentation:
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Examples of how you approach content design workflows, from initial research and needs analysis to final content delivery.
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Documentation or discussion of your methods for collaborating with subject matter experts and incorporating feedback.
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Demonstrations of how you ensure content accuracy, clarity, and engagement for the target audience.
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Evidence of adhering to project timelines and managing multiple content development tasks efficiently.
š Enhancement Note: Given the role's focus on content design and translation of complex topics, a portfolio is crucial. It should not only display the final output but also hint at the underlying process of research, synthesis, and pedagogical structuring. For this role, demonstrating an ability to work within defined frameworks and templates will be as important as creative flair.
šµ Compensation & Benefits
Salary Range: As this is a casual, part-time role at a university, compensation is typically based on an hourly rate. Based on RMIT University's casual academic staff rates and the specialized nature of AI content development, an estimated hourly rate would likely fall between AUD $50 - $75 per hour, depending on experience and specific qualifications. This estimate is based on typical university casual academic pay scales and the demand for expertise in Generative AI and instructional design in Australia.
Benefits:
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Flexible working hours, aligning with the "casual hours" engagement model.
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Opportunity to contribute to cutting-edge educational initiatives in Generative AI.
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Professional development through exposure to advanced AI concepts and higher education teaching practices.
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Work on a central Melbourne CBD campus, offering a dynamic and accessible work environment.
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Potential for further engagement based on operational needs and performance.
Working Hours: This role is engaged on a casual, as-required basis. There is no guarantee of ongoing or regular work. Hours will vary depending on operational requirements and project needs. This offers flexibility but requires adaptability to fluctuating workloads.
š Enhancement Note: The salary estimation is based on publicly available information regarding casual academic rates at Australian universities and the specialized skill set required. RMIT University often has enterprise agreements that dictate these rates, which can be confirmed through their HR or union representation. The benefits are derived from the "Why join RMIT?" section and the general nature of casual academic roles.
šÆ Team & Company Context
š¢ Company Culture
Industry: Higher Education (Education Technology, AI Integration)
Company Size: RMIT University is a large, multi-campus institution with a global presence, employing thousands of staff and educating tens of thousands of students. This scale implies robust internal processes, a wide network of expertise, and a structured environment.
Founded: 1887 (as the Working Men's College), evolving into RMIT University in 1992. This long history suggests a deep-rooted commitment to practical education and industry relevance.
Team Structure:
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The role reports to the "Lead, Education Gen AI." This indicates a dedicated team or initiative focused on the integration of Generative AI into education.
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This team likely comprises individuals with expertise in AI, education, curriculum development, and potentially digital learning technologies.
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Collaboration will extend to a broader network of academic and professional staff across RMIT, requiring strong cross-functional communication. Methodology:
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The "GAILE" initiative (Generative AI in Learning and Teaching) is central to this role. The methodology will likely involve research, pilot programs, development of guidelines, and dissemination of best practices.
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Content development will follow established university frameworks and templates, ensuring consistency and quality.
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A data-driven approach to understanding educator needs and the impact of AI in learning is implied.
Company Website: https://www.rmit.edu.au/
š Enhancement Note: RMIT University's tagline "RMIT: Real impact. Real opportunity." emphasizes its practical, industry-focused approach. This ethos likely permeates the AI capability development, aiming for tangible improvements in teaching and learning rather than purely theoretical exploration. The university's commitment to being a "child safe organisation" and its policies on gender-based violence highlight a strong emphasis on safety and inclusivity within its operational framework.
š Career & Growth Analysis
Operations Career Level: This role can be viewed as a specialized mid-level position within educational content development. It requires specific expertise in Generative AI and instructional design, applicable to a significant educational institution.
Reporting Structure: The role reports directly to the "Lead, Education Gen AI." This suggests a focused, project-driven team where direct collaboration with leadership is common.
Operations Impact: The primary impact of this role is on empowering RMIT educators to effectively leverage Generative AI. This, in turn, enhances the student learning experience by ensuring graduates are AI-ready, contributing to RMIT's reputation for future-focused education and industry relevance. The content developed will directly influence teaching practices across various disciplines.
Growth Opportunities:
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Skill Specialization: Deepen expertise in Generative AI applications in education, instructional design for emerging technologies, and digital accessibility standards.
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Project Leadership: With successful project completion and demonstrated capability, opportunities may arise to lead smaller content streams or contribute more significantly to the GAILE initiative.
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Network Expansion: Build a strong professional network within RMIT's academic and professional staff, potentially leading to future collaborations or roles within the university.
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Portfolio Enhancement: Develop a robust portfolio of work in a high-demand, rapidly evolving field, which can be leveraged for future career opportunities in EdTech, instructional design, or AI content development.
š Enhancement Note: While this is a casual role, successful performance and demonstrated initiative can lead to increased hours or future project opportunities within RMIT's ongoing AI integration efforts. The role provides a unique opportunity to gain experience at the forefront of AI in higher education, a valuable asset for career progression in the EdTech sector.
š Work Environment
Office Type: This role is based at RMIT's Melbourne CBD campus, implying a professional university office environment. Given the nature of content design, it may involve a mix of individual focused work and collaborative meetings.
Office Location(s): Melbourne CBD campus, Australia. This is a central, easily accessible location with public transport links.
Workspace Context:
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Access to university facilities, potentially including libraries, IT support, and collaborative workspaces.
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The work environment will likely be dynamic, with interaction with academic staff from diverse disciplines and professional staff supporting educational initiatives.
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Essential digital tools and platforms (SharePoint, Canvas) will be available, along with university IT infrastructure.
Work Schedule: Casual, as-required basis. This offers significant flexibility, allowing individuals to balance work with other commitments. However, it requires strong personal time management to meet project deadlines effectively. The role is primarily on-site at the Melbourne CBD campus.
š Enhancement Note: The on-site requirement for a role that could potentially be done remotely suggests an emphasis on in-person collaboration, direct engagement with academic staff, and possibly access to campus-specific resources or a desire for team cohesion within the GAILE initiative.
š Application & Portfolio Review Process
Interview Process:
- Initial Screening: Review of CV and short response to selection criteria.
This will assess alignment with core requirements.
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Interview: Likely involves a discussion with the Lead, Education Gen AI and potentially other team members. Expect questions focused on:
- Your experience designing educational content for adults.
- Your understanding of Generative AI, its capabilities, limitations, and ethical implications.
- Your approach to research, synthesis, and content structuring.
- Examples of how you handle complex topics and feedback.
- Your familiarity with digital learning platforms and accessibility.
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Portfolio Review: A critical component. Be prepared to walk through selected pieces from your portfolio, explaining your design process, rationale, and the impact of your work.
Portfolio Review Tips:
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Curate Strategically: Select 2-3 strong examples that best showcase your ability to design educational content for adults, especially complex or emerging topics.
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Highlight Process: For each piece, explain your approach: needs analysis, research methods, target audience considerations, content structuring, and how you incorporated feedback.
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Showcase AI Understanding: If possible, include a piece that demonstrates your ability to explain technical or complex concepts clearly, or one that reflects an understanding of AI's impact.
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Quantify Impact (if possible): Even for educational content, try to articulate the intended or actual outcomes (e.g., improved learner comprehension, successful skill acquisition).
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Address Digital Accessibility: Be ready to discuss how you ensure content is accessible.
Challenge Preparation:
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Mock Explanations: Practice explaining a complex technical or educational concept (e.g., how a specific AI model works, a pedagogical theory) in simple, clear terms suitable for educators.
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Content Structure Exercise: Be prepared to outline a potential learning module on a given AI topic, detailing learning objectives, content sections, and activities.
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Ethical Scenarios: Consider how you would advise educators on the ethical use of AI in assignments or teaching.
š Enhancement Note: The emphasis on a "short response to selection criteria" suggests that candidates need to be highly targeted and directly address each point. For the portfolio, showing how you designed the content (the process) is as important as the final product, especially for a role focused on developing guidance for others.
š Tools & Technology Stack
Primary Tools:
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Content Creation & Management: SharePoint (required), Canvas (required), or comparable Learning Management Systems (LMS) and content repositories. Proficiency in these systems for content organization, authoring, and delivery is key.
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Writing & Editing: Standard professional writing software (e.g., Microsoft Word, Google Docs), potentially with advanced editing or grammar tools.
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Collaboration: Microsoft Teams or similar platforms for communication and collaboration with university staff.
Analytics & Reporting:
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While not a primary focus for this role, an understanding of how digital content is consumed within an LMS (e.g., page views, completion rates) might be beneficial for future content iterations. CRM & Automation:
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Not directly applicable to this content design role, but an awareness of how educational content might be integrated into broader student information systems or learning platforms could be advantageous.
š Enhancement Note: The explicit mention of SharePoint and Canvas indicates a need for practical, hands-on experience with these specific platforms. Candidates should be prepared to discuss their proficiency and any experience in managing content within these environments, including considerations for digital accessibility within them.
š„ Team Culture & Values
Operations Values:
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Impact-Driven: Focused on delivering tangible improvements to teaching and learning through practical, well-designed educational resources.
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Collaboration: Valuing teamwork and open communication with academic and professional staff to achieve shared goals.
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Innovation: Embracing new technologies like Generative AI and finding creative ways to integrate them into education.
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Clarity & Precision: Commitment to producing clear, accurate, and well-structured content that is easy for educators to understand and apply.
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Continuous Learning: A dedication to staying updated with advancements in AI and educational best practices.
Collaboration Style:
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Consultative: Working closely with subject matter experts to gather requirements and ensure content accuracy.
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Feedback-Oriented: Open to receiving and incorporating feedback from stakeholders to refine content.
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Cross-Functional: Engaging with individuals from diverse academic and professional backgrounds within the university.
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Project-Focused: Working within defined project scopes and timelines to deliver specific outputs.
š Enhancement Note: RMIT University's commitment to being a "child safe organisation" and its inclusive values suggest a culture that prioritizes safety, respect, and diversity. The AI initiative likely aligns with a forward-thinking, practical, and collaborative approach to educational innovation.
ā” Challenges & Growth Opportunities
Challenges:
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Pace of AI Evolution: Keeping content current with the rapid advancements and changing landscape of Generative AI.
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Translating Complexity: Effectively communicating nuanced AI concepts and ethical considerations to a broad audience of educators with varying technical backgrounds.
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Balancing Innovation with Practicality: Developing content that is both forward-looking and immediately actionable for educators.
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Managing Stakeholder Expectations: Collaborating with diverse academic staff who may have different levels of AI understanding and varying needs.
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Working Independently: Managing tasks and deadlines effectively within a casual employment structure.
Learning & Development Opportunities:
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AI in Education Specialization: Gaining deep expertise in the practical application of AI within higher education.
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Instructional Design for Emerging Tech: Developing skills in designing learning experiences for cutting-edge technologies.
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Higher Education Pedagogy: Deepening understanding of university-level teaching and learning methodologies.
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Content Strategy & Management: Enhancing skills in structuring, producing, and managing digital learning content within institutional platforms.
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Networking: Building valuable connections within RMIT's academic and professional community.
š Enhancement Note: The primary challenge lies in the dynamic nature of Generative AI. Candidates must demonstrate adaptability and a proactive approach to learning. The growth opportunities are significant for those looking to specialize in the intersection of AI and education, a field poised for substantial growth.
š” Interview Preparation
Strategy Questions:
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"Describe your process for designing educational content for adult learners when dealing with a complex, emerging topic like Generative AI." (Focus on research, synthesis, audience adaptation, and ethical considerations.)
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"How would you explain the difference between AI hallucinations and factual inaccuracies to an educator who is new to AI?" (Test clarity, analogy use, and understanding of AI limitations.)
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"Imagine an educator wants to use an AI tool for grading essays. What are the key capabilities, limitations, and ethical considerations you would advise them on?" (Assess practical advice, risk awareness, and pedagogical thinking.)
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"How do you ensure your educational content is accessible and engaging for diverse learners and educators?" (Focus on digital accessibility standards and inclusive design principles.) Company & Culture Questions:
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"What interests you about RMIT University's approach to integrating Generative AI into learning and teaching?" (Demonstrate research into RMIT's GAILE initiative and alignment with their practical, impact-driven ethos.)
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"How do you approach receiving and incorporating feedback from academic colleagues with potentially different levels of technical expertise?" (Highlight collaboration, communication, and adaptability.)
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"Given your understanding of RMIT's focus on 'Real impact', how would you ensure the content you develop has a practical, demonstrable effect on educators' teaching practices?" (Connect your work to tangible outcomes and institutional goals.) Portfolio Presentation Strategy:
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Storytelling: For each portfolio piece, tell a brief story: the problem/need, your approach (research, design), the solution (the content), and the outcome/impact.
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Focus on Process: Explain why you made certain design choices, demonstrating your thinking and methodology.
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Highlight AI Relevance: If you have relevant AI-related content, showcase it. If not, emphasize your ability to translate complex topics, which is transferable to AI.
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Be Concise: Present key pieces efficiently, being ready to elaborate if asked.
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Demonstrate Platform Familiarity: Briefly mention how the content was implemented or could be implemented on platforms like SharePoint or Canvas.
š Enhancement Note: Interview questions will likely probe your ability to bridge the gap between technical AI concepts and pedagogical application. Demonstrating a clear, structured approach to content design and a genuine understanding of the challenges educators face with new technologies will be crucial.
š Application Steps
To apply for this Educator AI Capability Content Designer position:
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Submit your application via the 'Apply' link on the RMIT Careers portal.
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Tailor your CV: Ensure it clearly highlights experience in educational content design for adult learners, any work with AI, and proficiency with digital learning platforms (SharePoint, Canvas). Use keywords from the job description.
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Craft a concise response to the selection criteria: Directly address each point, providing specific examples of your experience and skills. Quantify achievements where possible.
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Prepare your portfolio: Curate 2-3 strong examples of educational or professional learning content. Be ready to discuss your process, rationale, and any measured impact. Ensure it showcases your ability to translate complex topics.
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Research RMIT's AI initiatives: Familiarize yourself with RMIT University's GAILE project and their broader approach to educational technology and industry engagement.
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Practice your communication: Prepare to articulate your thoughts clearly and concisely, especially when discussing complex AI concepts and your design process.
ā ļø Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires demonstrated experience in designing educational content for adult learners and a strong working knowledge of generative AI tools. Candidates must possess excellent writing skills, attention to detail, and proficiency with digital learning platforms.