Part-Time AWS ML Instructor: SageMaker & AI Training

Per Scholas; Columbus (OH); On-site; USD 82,656 - 89,544; Part time

Benefits offered by this job

Comprehensive benefits package

Over 40 days paid time off annually

401(k) plan with employer matching

Parental leave

Job summary

Per Scholas is seeking an AWS Machine Learning instructor to join our team in Columbus, Ohio. In this part-time role, you will be responsible for supporting instructor-led training focusing on AI and Machine Learning, ensuring students are well-prepared for their careers. You will provide resources, update student progress in Salesforce, and maintain training curricula.

The role requires 1-3 years of teaching experience and proficiency in AWS tools. Compensation falls between $60 to $65 per hour, based on expertise and geographical factors. Join us to make a difference!

Qualifications

• 1-3 years of teaching or training experience.
• Strong technical background; able to grasp and convey highly technical subject matter.
• Ability to respond clearly to live digital conversations.

Responsibilities

• Support instructor-led training in AI and Machine Learning.
• Provide students with access to resources for outside learning.
• Maintain and update Salesforce with student progress.

Skills

Teaching or training experience

Strong technical background

Ability to convey technical subject matter

Education

Bachelor's degree or equivalent experience

Tools

Amazon SageMaker

AWS Glue

AWS Step Functions

Amazon S3

Salesforce

Job description

Per Scholas is seeking an AWS Machine Learning instructor to join our team in Columbus, Ohio. In this part-time role, you will be responsible for supporting instructor-led training focusing on AI and Machine Learning, ensuring students are well-prepared for their careers. You will provide resources, update student progress in Salesforce, and maintain training curricula.

The role requires 1-3 years of teaching experience and proficiency in AWS tools. Compensation falls between $60 to $65 per hour, based on expertise and geographical factors. Join us to make a difference!