waypointjobs

Fullstack Academy, Inc.

Instructor, AI/Machine Learning, Simplilearn (Part time)

california, MO

Check who can apply and the requirements below before continuing.

About this opportunity

Fullstack Academy, Inc. lists this Instructor, AI/Machine Learning, Simplilearn (Part time) opportunity in california, Missouri. Review the employer’s description below for duties, qualifications and application requirements.

Job description

About: Simplilearn

Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more — that are transforming the global economy. Our training is hands‑on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award‑winning programs to achieve their career and business goals.

Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.

About the Role

As an Instructor at Simplilearn, you'll scale your impact as a Data science professional by training the next generation of professionals. You’ll create dynamic learning experiences through deployment of instructional best practices that are student‑centered and designed to meet the needs of adult learners. You’ll facilitate lessons from the curriculum and will serve as subject matter expert to students. You will support students through exercises designed to build knowledge and skills and promote grit, problem‑solving and a collaborative learning community. Ultimately, you will prepare students for the next chapter in their lives as they seek employment in the field of Data science.

This is a part‑time, remote role, as classes at Simplilearn are delivered synchronously and are 100% online. A cohort runs for around 5‑7 months of instruction, meets on weekday evenings (Monday, Wednesday and Thursday) from 5:30 PM to 8:30 PM PST. The total weekly part‑time commitment is expected to be 9‑12 hours.

Responsibilities

Create a positive, professional and inclusive learning environment, by:

Teaching select lessons in accordance with learning objectives and fidelity to session plans provided by Simplilearn

Employing strategies known to meet the needs of adult learners, including leveraging tech tools, instructional best practices and connecting content to the real world by sharing industry insights and professional experiences

Managing regular communication with students to align on progress, expectations, celebrate milestones and address concern areas

Providing individualized student support during synchronous class sessions and outside class synchronously during office hours and asynchronously through timely communication

Evaluate student performance and progression toward competencies based on course deliverables and course rubrics, by:

Providing constructive and timely feedback to students in the cohort

Assisting in the management of Performance Action Plans for individual students who need additional support

Serve as role model for students and as an ambassador for our brand, by:

Exhibiting professionalism and an ethical and empathetic approach when engaging with Simplilearn staff, students, and the public

Promoting student retention and amplify student satisfaction by creating a positive classroom culture for the Learning Team, communicating timely with students and leveraging effective interventions and sharing of resources

Encouraging teamwork and seek feedback for continuous improvement

Qualifications

8+ years of experience in the field of Data science / Machine learning / deep learning

Working knowledge of Applied Data science with Python

Good knowledge of Machine learning

Good knowledge of Deep learning with Keras and TensorFlow

A passion for teaching and an ability to explain complex technical concepts

A history of choosing a path of integrity

Excellent written and verbal skills

Compensation

The expected compensation for this role for candidates from United States is $50 – $55 per hour for candidates who fulfill the qualifications for the role. Candidates whose qualifications are above those listed are encouraged to apply as well. All final offers to candidates will be based on that candidate's unique experience and skillset, and not all candidates will qualify for the top of the salary range.

#LI- REMOTE

#J-18808-Ljbffr

Worksite address

california, MO, 65018, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

Ready for your next step?Apply on the official website
Apply on WhatJobs ↗

Explore related searches

Current related jobs

SBIOSD

WhatJobs

Neurosurgeon – Endovascular Trained

san diego, CA

compensation: $600,000 - $750,000

Opportunity Overview A busy, established neurosurgical private practice in San Diego, California is seeking a fellowship-trained, endovascular …

Listing review due 2026-10-07View job

CompHealth

WhatJobs

A Locums Dermatologist Is Wanted in Maryland

annapolis, MD

From $225.00 to $300.00 Hourly

When it comes to finding the perfect locums assignment, sometimes it is all about who you know. CompHealth has been around for a long time and ha…

Listing review due 2026-10-07View job

Watson Clinic

WhatJobs

Urologist Opportunity

lakeland, FL

Salary not specified

OWN YOUR PRACTICE- without the start-up costs! Thriving PHYSICIAN OWNED AND OPERATED multi-specialty group is seeking a Urologist to join busy pr…

Listing review due 2026-10-07View job

Allegheny Health Network

WhatJobs

Reproductive Endocrine and Infertility

pittsburgh, PA

Salary not specified

Allegheny Health Network's Department of OB/Gyn is recruiting a fellowship trained REI/IVF physician to join our team in Pittsburgh PA! Job Du…

Listing review due 2026-10-07View job