AI is the new electricity. Millions of AI engineers are needed to transform industries with AI, particularly in the realm of GenAI, and we’re building an education platform to train them. With a mission to grow and connect the global AI community, DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community. We’re a small tech company with serious credentials, exciting marketing challenges, and wonderful teammates.
DeepLearning.AI is looking for a Curriculum Developer (CD) to work with our internal Curriculum Product Managers (CPMs) and network of world experts in the AI space to create high-quality education content. In this role, you will leverage your expertise in learning experience design to help Subject Matter Experts (SMEs) produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space, and your ability to communicate and work well with a team will all be critical for this role.
We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7).
Responsibilities:
Convert the SME’s vision into effective learning content: Our SMEs are experts in their technical domain but are not always teaching or curriculum experts. You will take their ideas and rough materials (hand-sketched slides, bullet-pointed notes, or recorded video lectures) and convert them into learner-facing content (slides, scripts, quizzes, reading items, etc.). Although you do not have to be an expert in the subject of every course, you must be sufficiently technical to understand the material and its intent, and rapidly upskill, before or in the process of creating a new program. Review and provide feedback on technical content: You will be learner zero, and the judge and advocate of how other learners may perceive the material. This requires expertise in instructional design and an ability to empathize with learners. You will need to identify areas of improvement in material produced by SMEs or your peers, suggest solutions, and implement them. Ensure consistently high content quality and good pedagogy. Effective courses are accurate, cohesive, and engaging. You will be working with peers, with the guidance of the SME and CPM to provide the connective tissue that aligns all the various pieces of feedback and content together. In this generalist role, you could be creating assessments one day, and making video edits to align the scripts and slides the next, all with great attention to detail.
Requirements:
Technical background in math and programming at a level sufficient to follow and successfully complete an online course in machine learning such as DLAI’s Deep Learning Specialization. We expect you to be proficient in math (calculus, linear algebra, statistics etc.) as well as Python programming (functions, classes, data structures etc.) at a level where you can rapidly learn ML / AI topic areas that are new to you. Basic knowledge of AI / machine learning is required. Graduate degree (Master’s or PhD) in fields like Computer Science, Artificial Intelligence, Data Science, or a related STEM area, or equivalent industry experience with hands-on expertise in machine learning, software development, or data-driven model deployment.In-depth knowledge and experience designing and/or teaching technical courses online or offline , with experience in designing, structuring, and teaching technical courses specifically in machine learning, data science, or artificial intelligence. Demonstrated ability to create interactive, applied learning experiences.Experience designing and/or teaching technical courses online or offline. Must have created slide presentations, reading or lecture material, and assessments for post-secondary or adult learners. Excellent communicator with the ability to author and edit high-quality written content in English.A team player with a willingness to be flexible in timing and tasks to produce the best quality product.
Preferred:
A PhD in Math, Data Science, Computer Science, or a related field. Industry experience as a data scientist, machine learning engineer, or similar.Previous experience developing online asynchronous curricula in the areas of AI, machine learning, data science, robotics, or similar.Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content.
