ZipRecruiter

Log In

2

Part Time Deep Learning Jobs (NOW HIRING)

The Pennsylvania State University

$20/hr

... part-time job of Undergraduate Researcher in Multi-Agent Reinforcement Learning. Job duties to include: * Conduct research on multi-agent deep reinforcement learning, including designing novel ...

next page

Showing results 1-20

People also search for

All JobsPart Time Deep Learning Jobs

Part Time Deep Learning information

See salary details

$26

$40

$69

How much do part time deep learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for part time deep learning in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.
More about Part Time Deep Learning jobs
What cities are hiring for Part Time Deep Learning jobs? Cities with the most Part Time Deep Learning job openings:
What are the most commonly searched types of Deep Learning jobs? The most popular types of Deep Learning jobs are:
What states have the most Part Time Deep Learning jobs? States with the most job openings for Part Time Deep Learning jobs include:
What job categories do people searching Part Time Deep Learning jobs look for? The top searched job categories for Part Time Deep Learning jobs are:
Part Time Deep Learning jobs near you
Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Adjunct Lecturer, Applied Deep Learning and AI (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Posted 4 days ago

Job description

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Applied Deep Learning and AI. This advanced course delves into deep learning, blending key elements from Statistical Machine Learning. Students will gain a solid foundation in supervised learning and other related algorithms and methods. Topics covered include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversial Networks (GAN), and Reinforcement Learning. Practical applications will demonstrate how to prepare, train, test, and validate models. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.

Responsibilities

  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.

  • Monitor and address student concerns and inquiries.

  • Evaluate and grade student work and assessments.

  • Conduct office hours.

Qualifications

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training and a record of accomplishment as practitioners in an applied industry setting. 

Requirements

  • Doctorate degree in Computer Science, Data Science, or a related field.
  • Proficient in Python and familiar with deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Deep Learning Knowledge: Strong understanding of CNNs, RNNs, LLMs, Reinforcement Learning, and model evaluation techniques.
  • Hands-on experience with deep learning projects and data manipulation.

Preferred Skills & Experience

  • 10+ years of related professional experience. 

  • 2+ years of University teaching experience, ideally at the graduate level.

  • Strong verbal and written skills for explaining concepts clearly.

Additional Information

Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.

All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran

Apply