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Computer Science Entry Level Remote Jobs in New Jersey

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113.60K - $134K/yr

Bachelor's or Master's in Computer Science, AI, Engineering, or related field. Intermediate to advanced English. Must be located within the European Union . Location & Work Setup Remote: Yes Location:

Codertal

AI Research Scientist

Union, NJ · On-site +1

Bachelor's, Master's, or PhD in Computer Science, AI, or related field. Intermediate to high level of English. Must be located within the European Union . Location & Work Setup Remote: Yes Location:

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Computer Science Entry Level Remote information

What is a Computer Science Entry Level Remote job?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What are the key skills and qualifications needed to thrive in the Computer Science Entry Level Remote position, and why are they important?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.
More about Computer Science Entry Level Remote jobs
What are the most commonly searched types of Computer Science Remote jobs in New Jersey? The most popular types of Computer Science Remote jobs in New Jersey are:
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What cities in New Jersey are hiring for Computer Science Entry Level Remote jobs? Cities in New Jersey with the most Computer Science Entry Level Remote job openings:
Computer Science Entry Level Remote jobs near you
Infographic showing various Computer Science Entry Level Remote job openings in New Jersey as of May 2026, with employment types broken down into 6% Internship, 76% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Computer Science Research Assistant - Temporary

Princeton University

Princeton, NJ • On-site, Remote

$21/hr

Temporary

Posted 10 days ago

Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

18th of 528 rated colleges and universities

Job description

Overview

We are seeking a Computer Science researcher to work with the Energy Systems Analysis Group in the Andlinger Center for Energy and the Environment to convert a thesis study into a submission-ready journal article for a leading energy or interdisciplinary journal. The role is designed for the opportunity to translate a strong thesis into a high-impact academic publication.

The thesis develops CADENCE (Capital-Aware Deployment of Energy Networks with Coordinated Estimation), an extension of Princeton's Net-Zero X framework. It introduces a computational approach-using a Directed Acyclic Graph and Critical Path Method-to incorporate real-world deployment frictions, including interdependencies, capital discipline, stochastic timelines, and project abandonment. The results highlight how coordination and sequencing constraints can materially limit clean energy deployment.

Responsibilities

Working closely with Senior Research Scientist Chris Greig, the researcher will refine the thesis into a concise and compelling journal manuscript. This includes restructuring the narrative, sharpening the statement of novelty and contribution, tightening the methodological exposition, and improving the presentation of results and figures. Limited additional analysis may be undertaken to address robustness and anticipated reviewer questions.

This is a short-term, intensive collaboration with clear co-authorship and submission goals, suited to a candidate interested in research, publication, or graduate study. The position may be remote.

Qualifications

All candidates must have a strong related research background and enjoy working in teams.

Work pays $21.00/hour

Be advised that you will be contacted only if there is further interest in your application. Your candidate dashboard may not display status updates for this requisition.

Princeton University is an Equal Opportunity and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.

If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.

The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.

Standard Weekly Hours0.00Eligible for OvertimeYesBenefits EligibleNoEssential Services Personnel (see policy for detail)NoEstimated Appointment End Date10/31/2026Physical Capacity Exam RequiredNoValid Driver's License RequiredNo Experience LevelEntry Level#LI-LO1Salary Range$21.00 Minimum Hourly RateEmployment Type: TEMPORARY

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