13,701 Technology Intern jobs in the United States

Job Description

Computer Science Teachers

Seeking computer science teacher candidates to provide instruction for students to access, analyze and communicate information effectively so that they will become successful, contributing members of a changing information-based global society.

SUMMARY DESCRIPTION:

Under direction of the school principal, plans and provides for appropriate learning experiences for students. Provides an atmosphere and environment conducive to the intellectual, physical, social and emotional development of individuals to ensure success for every student. Develops, selects, and differentiates instructional plans and materials to meet the needs of all students. Maintains appropriate records, follows required procedures and practices, and uses data analysis to monitor student achievement.

CERTIFICATE LICENSE:

All applicants must meet the requirements for teacher certification stated by the Maryland State Department of Education. (

KNOWLEDGE, SKILLS, and ABILITIES:

Knowledge of MCPS curriculum, techniques for integrating curriculum, MCPS policies, and effective instructional practices. Understanding of the teaching/learning process. Ability to provide instruction that reflects multiple perspectives and multicultural education. Ability to infuse technology into curriculum. Ability to work effectively with administrators, colleagues, central office and school based staff, students, parents and community. Excellent oral and written communication and human relations skills.

EDUCATION, TRAINING, and EXPERIENCE:

Bachelor's degree in applicable field of education from an accredited college or university.

Title: Computer Science Intern

Location: College Park, Maryland (across the street from campus)

Who We Are:

Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy with a passion for solving big problems for both startups and enterprises. We enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to- end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation. Our customers hail from a diverse, ever-growing list of industries. We work with small startups, hyper-growth companies, and some of the largest enterprises.

Position Overview:

As a Computer Scientist Intern at Rackner, you will have the chance to work closely with our team of experienced computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a supportive and innovative environment. The primary objectives will be around automation of business processes and conducting research and development for DevSecOps tools. We intend to hire many interns with similar responsibilities.

Key Responsibilities:

• Collaborate with the R&D team to design, develop, and implement software solutions and algorithms.
• Conduct research on emerging technologies and industry trends to support project development.
• Assist in troubleshooting and debugging software issues.
• Participate in coding, testing, and documentation of software components.
• Analyze and interpret data to generate insights and support decision-making.
• Work on cross-functional projects and contribute to team discussions.
• Learn and apply computer science principles to solve complex problems.
• 10 hours/week during the school year, 40 hours/week in the summer, >51% of the time will be in office

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field.
• Strong programming skills in languages such as Python, Java, C++, or similar.
• Familiarity with data structures, algorithms, and software development methodologies.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication and teamwork skills.
• Eagerness to learn and adapt in a fast-paced and evolving tech environment.
• Passion for technology and a desire to contribute to innovative projects.
• Must be able to prove HUBZone occupancy in the current year* within the first week of employment using one of the following methods
  • Lease covering March 26-September 23
  • Drivers License acquired before March 26
  • Voter Registration Card acquired before March 26

*Students at the University of Maryland likely reside in a HUBZone, if you aren't sure, the map can be found here

Additional Info/Benefits

Rackner embraces and promotes employee development and training and covers the cost of certifications relevant to a position and the technologies/services provided. Fitness/Gym membership eligibility, weekly pay schedule and employee swag, snacks, & events are offered as well!

• 401k with 100% matching up to 6%
• Highly competitive PTO
• Great health Insurance with large network of providers
• Medical, Dental and Vision
• Life insurance, and short + long term disability
• Industry-Leading Weekly Pay Schedule
• Home office & equipment plan

Lecturer - Computer Science - 36438 Faculty
**Description**
**Lecturer - Computer Science (pool)**
**College of Engineering & Applied Science**
**Engage. Educate. Empower. Join UCCS as a Lecturer!**
**Who We Are**
The University of Colorado Colorado Springs ( (UCCS) is a premier educational institution that prides itself on academic excellence, research, and community engagement and is actively seeking **Lecturers in Computer Science** to join our team! UCCS offers a diverse and inclusive learning environment that fosters innovation, growth, and the holistic development of its students.
The Department of Computer Science at UCCS has excelled in preparing undergraduates for careers in the computing industry locally and nationally, by providing a wide variety of ABET-accredited classes of high quality. The department has over 500 majors across all the programs. We also offer several graduate level programs to suit the needs of full-time students as well as working individuals in the area.
Explore the Computer Science Department and undergraduate and graduate degrees: ( Range** : Generally starting at $4,000-$5,500 per 3-credit hour course. Pay rate is dependent upon the type of courses taught (e.g. undergraduate, graduate, or cross-listed). Compensation is prorated based on course credit hours. Compensation will be commensurate upon experience, qualifications, and teaching assignments. This position is Exempt from the Fair Labor Standards Act (FLSA) overtime provisions.
**Work Location** : Determined by course modality: On-campus (typically), online, or hybrid. Remote teaching opportunities may be available under certain conditions.
**Summary**
The College of Engineering & Applied Science at the University of Colorado Colorado Springs (UCCS) will establish and maintain a pool of Lecturers in Computer Science from which future appointments to temporary, non-tenure track positions will be made. Appointments are part-time (less than 50% time) and will be made semester-by-semester. The Computer Science Department offers BS, BA and BI degrees in Computer Science; BI degrees in Game Design and Development, and Cybersecurity; MS in Computer Science and ME in Cybersecurity; and PhD degrees in Computer Science and Cybersecurity.
This position will teach classes for the department of Computer Science. Classes may be on-campus, online, or hybrid. Examples of courses/subject area include the following:
+ Programming in Java, C, C++, C#, Python
+ Data Structures
+ Unix
+ Web Programming
+ Computer Architecture
+ Concepts of Programming Languages
+ Databases
+ Ethical Hacking
+ Ethics in Computing
+ Principles of Cybersecurity
+ Assembly Language and Computer Organization
**Essential Functions**
The duties and responsibilities of the position include, but are not limited to:
+ Provide instruction to undergraduate/graduate students based on course modality including class and/or lab preparation, administering exams, grading, and maintaining office hours.
+ Maintain, develop and schedule student learning experiences to achieve desired learning outcomes.
+ Plan, develop, and implement evaluation tools to assess student progress towards course learning objectives.
+ Be familiar with learning management systems, such as Canvas.
+ Other duties as determined by the Department Chair.
**Tentative Search Timeline**
This is an evergreen Lecturer Pool for the Department of Computer Science at UCCS. **Applications will be reviewed on a semester-by-semester basis as business needs arise.**
+ **Priority Application Dates** : Applications submitted by the following dates will receive priority consideration:
+ Fall Semester: May 1
+ Spring Semester: October 1
+ Summer Semester: March 1
+ **Interview Dates** : Candidates whose qualifications match specific course openings may be contacted for interviews at any time as hiring needs arise.
+ **Potential Start Dates** : Employment start dates will vary based on course scheduling needs and will align with the start of the relevant academic semester.
Because this appointment is temporary in nature, you will not be eligible to receive all of the benefits normally provided to faculty under the standard University of Colorado benefits programs ( . You are not eligible to receive paid vacation leave, medical, or retirement benefits. However, you are eligible to accrue sick leave at 0.034 hours of sick leave per hour worked.
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
In accordance with the Equal Pay for Equal Work Act, UCCS does not discriminate based on sex in our employment or compensation practices.
**Qualifications**
+ Applicants must have a Master's degree in Computer Science or a related area such as Mathematics, Information Systems, Cybersecurity.
+ A terminal degree in Computer Science or a related area preferred
+ At least four months teaching experience preferred
+ Relevant industry experience that includes current engagement in professional activities preferred
Special Instructions to Applicants: This Lecturer pool will remain active. Applications submitted by email or surface mail will not be considered. Please apply at cu.edu/cu-careers (job #: 36438). Official transcripts will be required upon hire. If you have technical difficulties with your application, please contact the CU Careers help desk at #5 or ( . Job related inquiries should be directed to the posting contact. The University of Colorado Colorado Springs will not sponsor work visas or permanent resident applications for this position. Application Materials Required: Cover Letter, Resume/CV, List of References Application Materials Instructions: Please identify the job specific minimum qualifications you possess in your cover letter and be sure your resume includes any and all relevant experience to be accurately assessed against the qualifications listed in the posting. To apply, please submit the following application materials to this posting. 1. A current resume/CV. Must include date ranges and whether the position was full time or part time. 2. A cover letter that specifically describes (in detail) your professional work experience and how it relates to this position. 3. List of at least 3 professional references. When submitting the materials, check the Job Specific Attachments box next to each document in order for the search committee members to see your materials.
**Job Category** : Faculty
**Primary Location** : Colorado Springs Department: C0001 -- Colorado Springs Campus - 40045 - EAS-Computer Science
**Schedule** : Part-time
**Posting Date** : Jun 24, 2025
**Unposting Date** : Ongoing Posting Contact Name: Shouhuai Xu Posting Contact Email: ( Position Number: 00794582
Copyright 2025 Jobelephant.com Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency ( University of Colorado does not discriminate on the basis of race, color, national origin, sex, age, pregnancy, disability, creed, religion, sexual orientation, gender identity, gender expression, veteran status, political affiliation, or political philosophy. All qualified individuals are encouraged to apply.

Job Description

Job Description

About us:

Welcome to the American Straight A Academy (ASAA), a distinguished K-12 online school dedicated to extending American education globally. Our mission is to provide a transformative "American education at your fingertipseverywhere! " experience for students worldwide. Committed to empowering as many students as possible, we enhance portfolios for college acceptance by offering a U.S. high school studying experience. Explore this unique opportunity for your children, fostering a positive impact that resonates throughout their lives. Join ASAA in shaping brighter educational futures.

Open classes:

• AP Computer Science A

Option1 : Preference working time (Pacific Time):
After 11pm
Option1: Sunday, Tuesday & Thursday
Option2: Monday & Wednesday
Option3: Friday & Saturday

Each class: 2.5 ~ 3 hours
Requirement: 3-4 time slots of 3 hours each within the available period

Qualifications and Requirements:

• Bachelor's degree in the relevant subject area; Masters or Ph.D./EdD is preferred.
• A minimum of 1 year of teaching experience in the relevant subject area, with high school teaching experience considered advantageous.
• Able to offer 2-3 available time slots during weekdays.
• Cooperative demeanor with staff, a passion for teaching, and a flexible schedule for evenings and weekends.

Your Responsibilities:

• Deliver group (2-6 students ) online instruction.
• Utilize pre-existing teaching materials to ensure thorough comprehension of the subject matter.
• Assess and grade students' in-class performance, providing constructive feedback to facilitate academic progress.
• Ensure timely completion of the curriculum within designated timelines.

Job Type: Part-time

Contact:

This is a remote position.

Job Description

Job Description

Job Summary


IvyMax Academy is a leading education service provider that prepares students exceptionally well for admission to top-tier universities and beyond. Since 2004, IvyMax has been delivering industry-best results, having helped thousands of students ace tests, develop strong leadership intelligence, and get admitted to great schools.

The strength of IvyMaxs reputation and brand name is directly attributable to the quality and breadth of its products and services. We are excited to see the continued commitment from IvyMaxs management team to devote significant resources to enhancing IvyMaxs current offerings and developing new high-quality programs, products, and services that are responsive to the evolving market needs.

IvyMax courses focus on quality instruction and test-taking strategies and techniques designed to help students achieve high scores on the tests and build strong fundamentals. IvyMax continuously recruits experienced teachers who generally teach in classes ranging from 5 to 20 students at the learning centers.

Responsibilities and Duties

• In-depth knowledge of AP Computer Science Principles and AP Computer Science A.
• Initiate, facilitate, and moderate classroom discussions.
• Prepare course materials, such as syllabus, homework assignments, and handouts.
• Plan, evaluate, and revise curricula, course content, course materials, and methods of instruction.
• Maintain regularly scheduled office hours to advise and assist students.
• Select and obtain materials such as textbooks, with the help of center staff members and the management team.
• Collaborate with colleagues to address teaching issues.
• Positively reinforce student self-confidence and self-esteem
• Be organized and well-prepared for every lecture

Qualifications and Skills

• 4-year undergraduate degree (BA, BS) or higher
• 2+ year(s) of direct teaching/tutoring experience
• Available weekday afternoons, evenings, and weekends
• Java, Python

Work Location:

• Irvine, CA 92620
• San Diego CA 92130
• Pleasanton, CA 94588
• Fremont, CA 94538
• Cupertino, CA 95014

Job Type: Part-time

Work remote temporarily due to COVID-19.

Job Description

Job Description

Applied Optimization (AO) Job Description


Job Title: Computer Science/Computer Engineering Intern Reports to: Principal Scientist

FLSA Status: Part-Time (Non-Exempt)


Position Objective:

• To support an interdisciplinary research and development team that collects data to analyze and implement new generation scientific algorithms in the areas of mechanical engineering or space science

Essential Functions:

• Aid in designing, building, testing, and implementing software applications for computer networks
• Provide technical support for object modeling and algorithm development for new generation science applications
• Perform verification, documentation, and quality assurance for new and existing software
• Support development and maintenance of hardware, software and other operating systems
• Run software updates and backups
• Perform research in computer operating systems
• Interpret blueprints, technical drawings, schematics, and computer-generated reports
• Ensure accuracy and follow documentation procedures for all work; maintain notebook of daily activities and provide weekly report of work
• Other related duties as assigned

Required Qualifications:

• Undergraduate or graduate student enrolled in a program related to the field of computer science or computer engineering with a superior academic record
• General understanding of software development and knowledge of various coding languages
• Attention to detail and effective time and schedule management skills
• Effective organizing, planning, debugging, and problem-solving skills
• Ability to adapt within a small team to support evolving customer requirements
• Ability to execute instructions and communication in written, oral, and diagram form
• Demonstrated strong writing, fact-gathering, and analytical skills
• Basic computer and software skills including but not necessarily limited to Microsoft Office products (e.g., Outlook, Word, and Power Point)

Preferred Qualifications:

• College sophomore or junior with a cumulative GPA (Grade Point Average) of 3.5 or higher
• Minor or dual degree in mathematics or physics
• Knowledge or experience in C++ object modeling/software development, Python, HTML, Java, C#, MATLAB, and/or other coding languages
• Knowledge or experience in CSS, Django, D3-data visualization, and Linux
• Knowledge of computer operating systems
• Ability to occasionally work 2nd shift preferred

Citizenship/Security Clearance Requirements:

• U.S. Citizen or Green Card Holder
• May be required to obtain and maintain U.S. Government Security Clearance

Employment Structure:

• In-office attendance; remote work is not available at this time

About Our Internships:

• Hours: The internship is a part-time, year-round position that requires a minimum of sixteen hours per week of work. The hours are flexible and they can change from one semester to another based on the students class schedule. The weekly hours can be adjusted to balance for the examinations, tests and project submissions.

About Us: Applied Optimization is a growing organization located in Fairborn, OH. We are an equal opportunity employer offering a competitive salary that is commensurate with qualifications and a comprehensive benefits package. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by applicable law. Find out more about us at job description is subject to change.

Build Skills & Support Learning in Computer Science!

Are you passionate about coding, peer learning, or research in tech? The Computer Science Department is hiring student employees for the Fall semester to support peers, assist with research, and grow their technical and professional skills.

Now hiring for Fall!

Available Student Positions:

Level II - Intermediate Support Roles
• Peer Instructor/CMPT Tutor $12.50 - Provide one-on-one or group academic support for computer science coursework.
• CMPT Supplemental Instructor $2.50 - Lead structured study sessions to reinforce lecture materials and enhance student understanding.
• Computer Science Research Assistant $1 .50 - Collaborate with faculty on research projects in computer science and data science.
• Silicon Slopes Research Assistant $1 .50 - This student research position supports faculty-led computer science projects through data analysis, method development, and inclusive collaboration to achieve research goals.

What You'll Gain:
• Deeper understanding of computer science fundamentals and pedagogy
• Experience supporting peers through tutoring and mentoring
• Opportunities to contribute to academic research
• Strengthened communication and leadership skills
• A collaborative and intellectually engaging work environment

Apply now to make an impact while gaining valuable experience!

This is an evergreen posting. Applications are accepted year-round and reviewed as positions open.

Assistant Professor - Computer Science
**FACULTY VACANCY ANNOUNCEMENT**
The Department of Computer Science at Queens College, City University of New York invites applications for a full-time, tenure-track Assistant Professor position, with appointment to begin in Fall 2026.
As an urban liberal arts college that emphasizes both research and teaching, Queens College has earned high rankings in prestigious college lists, such as Forbes' America's Best Value Colleges. The Computer Science Department serves over 2,500 undergraduate majors and 70 master's degree students, with faculty actively participating in the Computer Science Ph.D. program based at the CUNY Graduate Center.
As a public institution serving New York City's highly diverse and global population, the College is an engine of social mobility. We especially welcome candidates whose experience and qualities will aid the College in increasing faculty and staff diversity.
Responsibilities of the position include, but are not limited to:
- establishing and maintaining a research program as evidenced by peer-reviewed publications, conference presentations, grant applications, and funded research;
- teaching a variety of undergraduate and graduate computer science courses; and
- performing administrative, supervisory, and other types of service on departmental/university committees, as well as extramural professional service, such as peer review.
**QUALIFICATIONS**
Minimum Qualifications:
Ph.D. degree in area(s) of experience or equivalent. Also required are the ability to teach successfully, demonstrated scholarship or achievement, and ability to cooperate with others for the good of the institution.
Preferred Qualifications:
- Ph.D. degree in Computer Science or related field.
- An outstanding academic or industrial record as evidenced by high-impact publications
- Demonstrated excellence in undergraduate and graduate teaching
- Ability to attract significant research funding
**COMPENSATION**
CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.
The Assistant Professor salary range is $98,806 -$105,593.
CUNY is in the process of implementing salary schedule increases. Once implemented, salaries of eligible employees will be adjusted by 3.25% effective 9/1/2025 and 3.5% effective 9/1/26, in accordance with the terms of the PSC-CUNY collective bargaining agreement
**HOW TO APPLY**
Visit cuny.jobs and search for this vacancy using Job ID 30810 or Title Assistant Professor - Computer Science **_,_** then select "Apply Now" to access this position within CUNY's Employment Application system. Select "Apply for Job" to create a user account that you will use to upload the required application documents.
Candidates must provide the following documents:
1) a cover letter summarizing your qualifications and reasons for interest in this specific position (1 page max),
2) a curriculum vitae or resume,
3) a research statement (3 pages maximum),
4) a teaching Statement (3 pages maximum), and
5) names and contact information for 3 references.
**CLOSING DATE**
Open until filled with review beginning 09/28/2025
**JOB SEARCH CATEGORY**
CUNY Job Posting: Faculty
**EQUAL EMPLOYMENT OPPORTUNITY**
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Job ID
30810
Location
Queens College

A leading university in Austin, Texas, US is looking for an innovative and dedicated Professor of Computer Science to enrich its academic community. This tenure-track position requires a Ph.D. in Computer Science or a closely related field, with a strong record of scholarly research, publications in reputable journals and conferences, and demonstrated excellence in teaching at the university level. The successful candidate will be expected to contribute to both undergraduate and graduate programs, developing and teaching courses in areas such as artificial intelligence, machine learning, data science, cybersecurity, or software engineering. A significant portion of the role will involve conducting independent, high-quality research, securing external funding, and supervising doctoral students. We are particularly interested in candidates whose research complements existing departmental strengths or opens new avenues of inquiry. Collaboration with interdisciplinary research groups is highly encouraged. Responsibilities include: designing and delivering engaging lectures and labs; developing new course materials and curricula; mentoring students in research projects; actively participating in departmental and university committees; publishing research findings; and contributing to the overall academic mission of the university. The ability to work effectively in a hybrid academic setting, combining on-campus teaching and research with remote scholarly activities and collaboration, is essential. This is a fantastic opportunity for a passionate educator and researcher to shape the future of computer science education and contribute to cutting-edge research.