Remote AWS ML Instructor (Part-Time)

Per Scholas; Orlando (FL); 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) with employer match

Parental leave

Employee Assistance Program

Job summary

Per Scholas is on a mission to drive mobility by unlocking potential through tech training. We seek an AWS Machine Learning instructor who excels in delivering high-quality instruction for our students in AI and Machine Learning on AWS. Responsibilities include supporting training sessions, individual tutoring, and maintaining learning resources.

The ideal candidate has a strong technical background and solid teaching experience. We offer competitive compensation of $65/hour, comprehensive benefits, and a collaborative work environment focused on social change.

Qualifications

• 1-3 years of teaching or training experience.
• Strong technical background; able to convey highly technical subject matter.
• Excellent written communication, presentation, and customer service skills.

Responsibilities

• Support instructor-led training for entry to mid-level AI and Machine Learning students.
• Provide students with relevant outside learning resources.
• Maintain and update Salesforce and LMS with student progress.

Skills

ML Development & Tools

Data Engineering

MLOps Orchestration

Security & Governance

Model Monitoring

Generative AI Integration

Programming Mastery

Instructional Skill Sets

Education

Bachelor’s degree or equivalent practical/industry experience

Tools

Amazon SageMaker

AWS Bedrock

AWS Glue

S3

SageMaker Data Wrangler

AWS Step Functions

SageMaker Pipelines

Job description

Per Scholas is on a mission to drive mobility by unlocking potential through tech training. We seek an AWS Machine Learning instructor who excels in delivering high-quality instruction for our students in AI and Machine Learning on AWS. Responsibilities include supporting training sessions, individual tutoring, and maintaining learning resources.

The ideal candidate has a strong technical background and solid teaching experience. We offer competitive compensation of $65/hour, comprehensive benefits, and a collaborative work environment focused on social change.