Technical Instructor (AWS Machine Learning

Technical Instructor (AWS Machine Learning)

Location:

United States

Per Scholas has been training people for 30 years, unlocking potential and providing no‑cost training in Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. With campuses across the country and remote learning, we partner with businesses from Fortune 500 companies to innovative startups to create inclusive tech talent pipelines.

• Duration:
  Part‑Time Contract Role
• Compensation: $65 per hour
• Preferred hire residence: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

Per Scholas seeks an instructor who is detail‑oriented, problem‑solving, and capable of delivering engaging instruction on Amazon Web Services (AWS) Machine Learning. The candidate must be business‑minded, able to adapt quickly, and maintain strong accountability.

• Conduct instructor‑led training for entry‑level to mid‑level careers in AI and Machine Learning infrastructure on AWS.
• Deliver daily instruction, administer assessments, manage attendance, and provide one‑on‑one tutoring.
• Monitor student progress, evaluate performance, and address policy violations consistently.
• Provide learners with resources for outside study relevant to the curriculum.
• Collaborate with the team to identify student needs, develop individualized achievement plans, and participate in status meetings.
• Maintain student records in Salesforce or the LMS, including grades, certification scores, and progress notes.
• Support and update training curricula, syllabi, lesson plans, and other classroom materials.

• 1–3 years of teaching or training experience.
• Strong technical background to understand and convey complex subject matter.
• Clear communication on digital platforms such as Zoom or in-person settings.

• ML Development & Tools
  :
  Hands‑on expertise with Amazon Sage Maker, AWS Bedrock, and Sage Maker Studio.
• Data Engineering
  :
  Proficiency in ingesting and transforming datasets using AWS Glue, S3, and Sage Maker Data Wrangler.
• MLOps Orchestration
  :
  Experience building automated ML pipelines using AWS Step Functions, Sage Maker Pipelines, and CI/CD workflows.
• Security & Governance
  :
  Strong knowledge of IAM policies, VPC security, Cloud Watch, and Cloud Trail.
• Model Monitoring
  :
  Ability to evaluate performance and bias with Sage Maker Clarify and Model Monitor.
• Generative AI Integration
  :
  Demonstrate use of LLMs and Copilots for code debugging, note generation, and documentation automation.

• Programming Mastery
  :
  Proficiency in Python (Pandas, Num Py) and SQL for data‑centric roles.

• Bachelor’s degree or equivalent practical/industry experience.
• Strong technical aptitude with tools such as Google Sheets, Excel, Slides, PowerPoint, Salesforce, Slack, Zoom.
• Excellent written communication, presentation, and customer service skills.
• Solid understanding of business needs; strong evaluation and data‑management skills.
• Prior IT knowledge or willingness to learn; enthusiasm for technology.

• Thrives in a fast‑paced, innovative environment.
• Data‑driven, result‑oriented, and forward‑looking catalyst for social change.
• Collaborative, flexible, and capable of working cross‑functionally.
• Lifetime learner who quickly adopts new tools.
• Strong oral and written communication; tech‑savvy.
• Detail‑oriented with exceptional organizational skills.
• Excellent public speaking and interpersonal skills; capable of building rapport across cultures.
• Efficient time management and task prioritization.
• Aligned with our mission to provide equitable career opportunities.

Hourly rate: $60–$65 (depending on geography, qualifications, and experience).

• Paid time off: 40+ days annually (holidays, vacation, sick/personal).
• Comprehensive medical coverage through Cigna or Kaiser Permanente.
• Dental and vision insurance options.
• 401(k) plan with 100% employer match up to 6%.
• Health Reimbursement Account (HRA) up to $4,000 individuals / $8,000 families.
• Employee Assistance Program (EAP) with 24/7 counseling.
• Parental leave: up to 6 weeks 100% paid.
• Other voluntary benefits: life & AD&D, short‑term disability, flexible spending accounts, accident, critical illness, hospital indemnity, legal services, pet insurance.

We’re proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.