Online Course Instructor - Machine Learning / Data Engineering (Part-Time, Contract)

Key Skills

Containerization, Data Analytics, Data Governance, Databricks, Education, English Proficiency, Github, Julia, Leadership, Machine learning techniques, Mentoring, MLOps tools, Teaching

Job Description

About the role:

High Quality course content and top-tier instruction are critical to our success. As an instructor, you will work with our content team to build a best-in-class data course that helps learners grasp new concepts and practice them through a hands-on learning experience! To be successful, you will need to take ownership over course development and production, collaborate with our curriculum experts and content team, and dedicate approximately 10-15 hours per week over 12-16 weeks. No prior teaching experience is necessary. Our curriculum experts and content developers will help you every step of the way as you create the course!

You’ll receive a multitude of benefits as a DataCamp instructor, from building on your personal brand to scaling your impact to a global audience of ~5 million data professionals! You’ll also get monetary compensation, and access to our DataCamp network and resources!

Requirements:

• Talented data industry professional skilled in, for example, MLOps, machine learning engineering, data engineering, containerization, Julia, or Databricks.
• Combining theoretical knowledge with practical experience
• Passionate about teaching data skills
• Excellent written and oral communication skills in English

Ideal Candidate:

• Previous education/teaching/training/mentoring experience
• Previous DataCamp experience in taking course content
• Previous experience with Github

*Please note that this is a part-time, contract, remote position.

What's in it for you:

In addition to joining a creative and international start-up, as a permanent employee you’ll enjoy:

• A very competitive salary and stock options
• An exciting job that will offer you technical challenges every day
• Flexible working hours
• International company retreats
• Conference and hardware budget
• Working with a great team (everyone says this, but we’re serious—we’re pretty great)