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Part Time Ibm Quantum Computing Jobs (NOW HIRING)

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Office Operations Manager

Somerville, MA · On-site

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... This role can be part-time or full-time. Note : This position requires U.S. citizenship, lawful ...

Diffraqtion

Office Operations Manager

Somerville, MA · On-site

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... This role can be part-time or full-time. Note : This position requires U.S. citizenship, lawful ...

Diffraqtion

Office Operations Manager

Somerville, MA · On-site

... Quantum Camera, a device that replaces a conventional camera and edge AI processor by computing at ... This role can be part-time or full-time. Note : This position requires U.S. citizenship, lawful ...

Booz Allen Hamilton, Inc.

Cloud Engineer

Arlington, VA · On-site +1

$86K - $198K/yr

As a cloud computing application architect, you know how to create a cloud-based technical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer

Arlington, VA · On-site +1

$69K - $158K/yr

As a cloud computing application architect, you know how to create a cloud-based technical ... Knowledge of supporting and administering engineering tools, including 3Dexperience, IBM DOORS ...

iFLIP4

Lead Web Developer

East Hanover, NJ · On-site

Some of our advisors include a former treasurer of IBM, a media expert who helped launch MTV, a ... This position will begin as part-time, but you should expect your role to grow as iFLIP4 grows!

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Part Time Ibm Quantum Computing information

What is a part-time IBM Quantum Computing job?

Part-time IBM Quantum Computing jobs are positions that allow individuals to work with IBM’s quantum computing technology and research, but on a schedule that is less than full-time. These roles can include research assistants, software developers, educators, or interns who contribute to quantum computing projects, algorithms, or educational content. Part-time employees may collaborate remotely or on-site, assisting in advancing quantum technology and its applications while balancing other commitments. These jobs are ideal for students, researchers, or professionals seeking hands-on experience in the rapidly growing field of quantum computing.

What are the key skills and qualifications needed to thrive as a part-time IBM Quantum Computing specialist?

Success as a Part-Time IBM Quantum Computing Specialist requires a solid understanding of quantum mechanics, linear algebra, and programming, typically supported by a degree in physics, computer science, or a related field. Familiarity with IBM Quantum Experience, Qiskit (IBM's open-source quantum computing SDK), and cloud-based computing platforms is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help individuals excel in collaborative research and technical environments. These skills are crucial for developing, debugging, and optimizing quantum algorithms and for collaborating on cutting-edge projects in a rapidly evolving field.

How do part-time IBM Quantum Computing professionals typically collaborate with full-time team members on research and development projects?

Part-time IBM Quantum Computing professionals often work closely with full-time colleagues through virtual meetings, shared code repositories, and collaborative project management tools. Regular check-ins and clear communication are key to ensuring alignment on research goals and deliverables. While part-time team members may have flexible schedules, they are usually integrated into project sprints or specific tasks, allowing them to contribute meaningfully without missing critical updates. This collaborative structure helps maintain project momentum and fosters a supportive learning environment.

What is the difference between Part Time Ibm Quantum Computing vs Part Time Data Scientist?

AspectPart Time Ibm Quantum ComputingPart Time Data Scientist
Required CredentialsPhysics, Computer Science, or related degrees; knowledge of quantum mechanicsStatistics, Computer Science, or related degrees; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, or academic institutions focusing on quantum techBusiness, tech firms, or research organizations analyzing data for insights
Industry UsageQuantum computing industry, tech innovation sectorsData-driven industries like finance, healthcare, marketing
Common Search/ComparisonPart Time Ibm Quantum Computing vs Part Time Data Scientist

While both roles involve technical expertise, Part Time Ibm Quantum Computing focuses on quantum technology and physics, whereas Part Time Data Scientist emphasizes data analysis and statistical skills. The work environments and industry applications differ, but both require analytical thinking and relevant technical credentials.

More about Part Time Ibm Quantum Computing jobs

What are the most commonly searched types of Ibm Quantum Computing jobs?

The most popular types of Ibm Quantum Computing jobs are:

What job categories do people searching Part Time Ibm Quantum Computing jobs look for?

The top searched job categories for Part Time Ibm Quantum Computing jobs are:

Part Time Ibm Quantum Computing jobs near you
Infographic showing various Part Time Ibm Quantum Computing job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 9% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Adjunct Associate Faculty, Cloud Computing (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$2.0K - $3.0K/wk

Part-time

Re-posted 25 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 twenty 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 Associate for a graduate-level course in Cloud Computing. An Associate is a faculty line junior to a Lecturer who provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.

This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.

Responsibilities

  • Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.

  • Evaluate, grade student work and assessments as requested by the course Lecturer.

  • Monitor and address student concerns and inquiries.

Qualifications

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

Requirements

  • Graduate degree in Computer Science, Software Engineering, or related field

  • Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming

  • Experience with the Linux operating system, cloud virtualization and storage systems

  • 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)

  • Knowledge of Python programming language

Preferred Skills & Experience

  • University teaching experience

  • Experience with setting up and configuring Google Cloud Platform services

  • Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes

Additional Information

Salary range: $2,000 - $3,000 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

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