Technical Instructor (AWS Machine Learning)

POSITION TITLE: AWS Machine Learning - Instructor

DURATION: Part-Time Contract Role

COMPENSATION: $65/hour

WHO WE’RE LOOKING FOR

Per Scholas is seeking an AWS Machine Learning instructor to become a member of our team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients’ and learners’ high expectations.

WHAT YOU’LL DO

• Support instructor-led training that prepares students for entry-level to mid-level careers in AI and Machine Learning infrastructure on AWS. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more.
• Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum.
• Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
• Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes.
• Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials.

WHAT YOU’LL BRING TO US

Instructional Skill Sets

• 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 via a digital engagement platform such as Zoom or an in-person training environment.
• Strong communication skills

Required Skill Sets

• ML Development & Tools: Hands-on expertise with Amazon SageMaker, AWS Bedrock, and SageMaker Studio.
• Data Engineering: Proficiency in ingesting and transforming datasets using AWS Glue, S3, and SageMaker Data Wrangler.
• MLOps Orchestration: Expertise building automated ML pipelines using AWS Step Functions, SageMaker Pipelines, and CI/CD workflows.
• Security & Governance: Strong understanding of IAM policies, VPC security, and auditing via CloudWatch and CloudTrail.
• Model Monitoring: Ability to evaluate performance and bias using SageMaker Clarify and Model Monitor.
• Generative AI Integration: Ability to demonstrate the use of LLMs and Copilots for debugging code, generating notes, and automating technical documentation.
• Certification: Active AWS Certified Machine Learning Engineer – Associate or AWS Certified Data Engineer – Associate credential.

Preferred Skill Sets

• Programming Mastery: Proficiency in Python (Pandas, NumPy) and SQL for data-centric roles.

Professional Qualifications

• Bachelor's degree (or equivalent practical/industry experience)
• Strong technical aptitude (Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, etc.), project management, and organizational skills with detailed follow-through abilities
• Excellent written communication, presentation, and customer service skills
• Solid understanding of business needs
• Strong evaluation and data management skills
• Prior knowledge or background in IT (if minimal, a desire and willingness to learn what’s needed) and a passion for technology is a plus

Personal Characteristics

• You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission.
• You are data-driven, result-oriented, and a forward-looking catalyst for social change.
• You have a collaborative and flexible work style. You’re excited to work cross-functionally with other departments and independently.
• You are a life-long learner.
• You are an effective communicator with strong oral and written skills.
• You are tech-savvy and learn new tools quickly.
• You are detail-oriented, with exceptional organizational management skills.
• You have strong public speaking and interpersonal skills. You are a motivator who is personable, approachable, and socially engaging. You can cultivate relationships and build rapport quickly and authentically with people from various professional and cultural backgrounds.
• You are adept at managing your time and balancing multiple projects and tasks.
• You stand behind our mission, believing that individuals from any community should have access to well-paying career positions and that talent should be recognized and recruited from diverse sources.

Compensation

For this role specifically, we are targeting an hourly range of $60.00 - $65.00 where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

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