Rise Networks is a leading Data and Artificial Intelligence for Development Social Enterprise dedicated to the tech education and skills of people, digital transformation of organizations and innovation adoption in the public sector with the goal of leveraging some of the technologies of the fourth Industrial Revolution to solve some of Nigeria & Africa’s most complex problems. With years at the forefront of learning development, research and human-centered innovation, we understand the game-changing strategies for accelerating the growth of people’s lives and careers, businesses, non-profits, governments and the world in general.

We are recruiting to fill the position below:

Job Title: AI and Data Science Instructor

Location: Lagos
Employment Type: Full-Time

Role Overview

• Do you have a passion for unlocking the power of data and AI? Can you translate complex concepts into clear, actionable knowledge that empowers others? Are you energized by a fast-paced environment and find joy in guiding others to become data-driven problem solvers? If so, we want YOU on our team.
• We’re seeking a talented Data and Artificial Intelligence Instructor (Full-Time) to join our growing team and play a crucial role in shaping the next generation of data enthusiasts. You’ll be responsible for delivering an engaging curriculum and equipping students with the skills and knowledge to thrive in the ever-evolving field of data science and AI.

Scope of Work

• The scope of work encompasses delivering assigned courses, crafting engaging materials, facilitating assessments, providing feedback, offering student support, and contributing to program and curriculum development, all while adhering to professionalism, data privacy, and intellectual property standards.

Responsibilities

• Design and create comprehensive learning materials, including lectures, design exercises, tutorials, and assessments, that align with assigned lesson plans and course objectives.
• Deliver AI and data science courses as scheduled, adhering to the outlined syllabus and ensuring all topics are covered comprehensively.
• Demonstrate excellent presentation and communication skills, engaging students effectively and fostering a positive learning environment.
• Possess prior experience in teaching or training, enabling effective delivery of complex subject matter and catering to diverse learning needs.
• Collaborate closely with staff and colleagues, sharing knowledge and resources to enhance the quality of instruction and improve student outcomes.
• Assess student learning using various assessment methods such as assignments, quizzes, and exams, while providing timely and actionable feedback.
• Be accessible to students during designated office hours or by appointment, offering guidance and support throughout their learning journey.

Who you are (Requirements)

• 3+ years of professional experience in data science and AI.
• Bachelor’s degree in a relevant field, such as Statistics, Mathematics, Computer Science, Information Technology, or a related discipline.
• Possess prior experience in teaching or training, enabling effective delivery of complex subject matter and catering to diverse learning needs.
• Proficiency in software and tools such as Python, R, TensorFlow, PyTorch, SQL, and machine learning libraries (e.g., scikit-learn).
• Familiarity with data visualization tools like Tableau, Matplotlib, and Seaborn.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud for deploying machine learning models and conducting data analysis.
• Familiarity with natural language processing (NLP) techniques and libraries such as NLTK or SpaCy for text analysis tasks
• Excellent communication (written and verbal) and presentation skills. Ability to effectively deliver complex subject matter to diverse learners.
• Experience with developing and implementing various assessment methods (assignments, quizzes, exams) and providing constructive feedback.
• Strong organizational abilities with a focus on prioritization, meeting deadlines, and maintaining meticulous attention to detail.
• Collaborative spirit and ability to work effectively with colleagues and students to achieve common goals.

Application Closing Date
14th June, 2024.