Technical Instructor (AWS Machine Learning)

Per Scholas

Columbus (OH)

On-site

USD 82,656 - 89,544

Part time

14 days+

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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

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

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.
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.
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.

Benefits

Per Scholas offers a comprehensive benefits package designed to support your health, financial well‑being, and overall quality of life!

Holidays & PTO

Full‑Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence Day and a week before the New Year). Full‑Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work‑life balance. Vacation accruals increase with tenure. Part‑time employees are afforded time off on a prorated basis and in accordance with local requirements.

Comprehensive Medical Coverage

Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out‑of‑pocket expenses, up to $4,000 for individuals and $8,000 for families.

Dental and Vision Insurance

Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums.

Retirement Savings

401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company.

Employee Assistance Program (EAP)

Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members.

Parental Leave

Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family.

Additional Benefits & Perks

Eligible employees have access to employer‑paid life and AD&D Insurance, as well as employer‑paid short‑term disability coverage, with the option to elect additional life coverage and long‑term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs.

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.

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