Instructional Designer
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Job Summary
We are looking for Senior Instructional Designers to support a global enterprise client that is building internal training on Artificial Intelligence and emerging technologies. The clients teams are already advanced in AI and have deep technical expertise. What they need from you is the instructional design capability to turn that expertise into well-structured learner-centered courses.
You will work directly with technical subject matter experts (SMEs) the clients training manager and internal business stakeholders. You will own the design of each course from the first conversation through to final delivery.
Work is project-based. Engagements typically run for the length of a project and are extended for as long as the demand continues and your performance is strong.
Analysis and Discovery
Meet with SMEs the training manager and internal customers to understand business goals target audiences skill gaps and expected learning outcomes
Run needs analysis and audience analysis to decide the right learning approach format and depth for each course
Review source material such as technical documents presentations code walkthroughs and research and identify what learners need to know versus what is simply nice to know
Design
Turn complex AI and technical content into clear measurable learning objectives logical course structures and learner-friendly modules
Apply proven instructional design models and frameworks (ADDIE SAM Blooms Taxonomy Gagnés Nine Events Merrills Principles etc.) and justify design decisions to stakeholders
Create design documents course blueprints storyboards scripts and content outlines
Design practical learning activities such as scenarios case studies hands-on exercises simulations and labs so learners can apply what they learn
Build assessments knowledge checks and evaluation strategies aligned to learning objectives (including Kirkpatrick-style measurement where relevant)
Development
Develop or oversee development of eLearning instructor-led (ILT) virtual instructor-led (vILT) and blended learning content depending on project needs
Create facilitator guides learner guides job aids slide decks and supporting reference material
Work with media multimedia and technical teams where required and provide clear specifications and reviews
Ensure content follows accessibility standards and brand and style guidelines
Collaboration and Delivery
Lead review cycles with SMEs and stakeholders manage feedback and reach agreement on revisions within agreed timelines
Challenge content constructively for example by simplifying sequencing or cutting material when it does not serve the learner
Manage several deliverables at once track progress and flag risks early
Communicate clearly with stakeholders in different time zones and work independently with minimal supervision
Maintain version control documentation and quality standards across all deliverables
Continuous Improvement
Gather learner and stakeholder feedback and use it to improve future versions
Stay current with learning technologies and trends including the use of generative AI in learning design
7-8 years of hands-on instructional design experience ideally in corporate or enterprise learning
Deep knowledge of adult learning principles and instructional design methodologies
Proven experience working closely with SMEs on technical or complex subject matter and simplifying it for different audiences
A portfolio or work samples showing end-to-end design work: needs analysis storyboards assessments and final deliverables
Strong skills in storyboarding content structuring scriptwriting and assessment design
Excellent written and spoken English
Strong stakeholder management skills and confidence in defending design decisions
Ability to work independently and stay productive in a fully remote setup
Bachelors degree in Education Instructional Design Learning Technology Communications Technology or a related field
Experience designing training on AI machine learning data science cloud software or other technical topics
Familiarity with generative AI concepts and tools (LLMs prompt engineering AI-assisted content creation)
Proficiency in authoring tools such as Articulate Storyline / Rise Adobe Captivate or others: to be confirmed
Experience with LMS platforms to be confirmed and standards such as SCORM and xAPI
Experience with VILT platforms such as Zoom MS Teams or similar
Masters degree or a recognized certification in instructional design or learning and development
Experience mentoring junior IDs or reviewing the work of others
SMEs feel heard and their content is turned into courses that learners can actually follow
Courses are delivered on time with minimal rework
Learning objectives activities and assessments are clearly aligned
Stakeholders trust your judgment and your engagement is extended
Performance based rewards
Opportunity for growth and advancement within the company
Comprehensive training program
Positive work environment
Required Skills:
Educational Background: Bachelors and Masters degrees in Data Science Computer Science Statistics or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas Scikit-Learn TensorFlow or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees random forests and gradient boosting machines. Competence in data preprocessing cleaning and analysis. Familiarity with data cleaning transformation and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel Tableau or more specialized software depending on the industry (e.g. SAS SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP Deep Learning Machine Learning Knowledge of genAI with implementation knowledge (LLM fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS Azure Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis forecasting and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.
