Technical Instructor; AWS Machine Learning

Preferred Hire Locations
: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

DURATION: Part‑Time Contract Role

COMPENSATION: $65/hour

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.

• 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.

• 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.

• 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
  :
  Expertise building automated ML pipelines using AWS Step Functions, Sage Maker Pipelines, and CI/CD workflows.
• Security & Governance
  :
  Strong understanding of IAM policies, VPC security, and auditing via Cloud Watch and Cloud Trail.
• Model Monitoring
  :
  Ability to evaluate performance and bias using Sage Maker 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.

• 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 (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

• 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…