Curriculum Developer

Remote

Job Description

This job posting has expired and no longer accepting applications.

Want to use your teaching skills to make an impact? 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 education products 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 ed-tech company with serious credentials, exciting courses, 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, data science, and programming at a level sufficient to follow an online course in machine learning. We expect you to be proficient in math (calculus, linear algebra, and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to/provide feedback on course lecture materials and code exercises. At least a basic knowledge of AI/machine learning is required.

The above is usually indicated through a master’s degree in a STEM subject or a bachelor’s degree in STEM and certified online courses in machine learning or related fields.

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.

Knowledge of instructional design best practices, specifically as it relates to content creation.

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.

Team Culture:

Strong work ethic. All of us believe in our work’s ability to help individuals lead more satisfying lives and improve the world at large, and consequently, work not just smart, but also hard.

Growth mindset. We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.

Team oriented. We watch out for each other. We’re humble individually and go after big goals together.

Flexibility. You should be flexible in your tasks and do whatever is needed, ranging from lower-level tasks like scheduling to high-level recruiting strategy.

Compensation & Benefits:

Competitive, location-based salaries, for data scientists in ed-tech.

Flexible, untracked PTO.

Monthly learning budget and other work-from-home benefits.

At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees are critical to our success as a company. We seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business needs.

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