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Full Time Remote Computer Science Jobs (NOW HIRING)

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

Computer Science 8-12 OR Computer Information System Residency Requirements: TEXAS The remote High ... Join us! This is a full-time REMOTE position. Ability to work independently, typically 40+ hours ...

Argonne National Laboratory

Computer Scientist/AI

Lemont, IL · On-site +1

$94K - $147K/yr

... Remote Work - Occasionally Onsite": which applies to employees typically working more than 60% of ... Computer Science 2 Worker Type Regular Time Type Full time The expected hiring range for this ...

Riverside Research

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

Position Overview Riverside Research is seeking a full-time Remote Sensing Scientist in support of the National Air and Space Intelligence Center (NASIC) at Wright Patterson AFB, OH. You will be ...

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Full Time Remote Computer Science information

What are the key skills and qualifications needed to thrive as a Full Time Remote Computer Science professional, and why are they important?

To thrive as a Full Time Remote Computer Science professional, you need strong programming skills, a solid grasp of algorithms and data structures, and at least a bachelor’s degree in computer science or a related field. Proficiency with source control systems (like Git), cloud platforms (such as AWS or Azure), and familiarity with collaboration tools (e.g., Slack, Jira) are typically required. Excellent self-motivation, communication, and time-management skills set standout remote professionals apart. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions while working independently.

What are some common challenges faced by remote computer science professionals working full-time, and how can they be addressed?

Full-time remote computer science professionals often encounter challenges such as maintaining effective communication with team members, managing work-life balance, and staying motivated without in-person supervision. To address these, it's important to establish clear communication channels—using tools like Slack or Microsoft Teams—set regular check-ins with your team, and create a dedicated, distraction-free workspace. Additionally, setting clear boundaries between work and personal time and actively participating in virtual team meetings can help maintain productivity and a sense of connection with colleagues.

What does a full time remote computer science job involve?

A full time remote computer science job typically involves working 40 hours per week on tasks such as software development, coding, debugging, or IT support, all from a location outside of a traditional office. These roles often require strong problem-solving skills, self-motivation, and proficiency in programming languages or computer systems. Employees communicate with their teams using digital collaboration tools and manage their workflow independently. The flexibility of remote work allows professionals to balance their schedules while contributing to projects for companies located anywhere in the world.
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Full Time Remote Computer Science jobs near you
Infographic showing various Full Time Remote Computer Science job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Computer Science Specialist remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 6 days ago

Job description

Computer Science Specialist remote

https://jobs.micro1.ai/post/75b76df7-6fe1-4759-8c0c-fd552054169b?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral

Computer Science Specialist

Role Type: Contractor

Location: Remote

micro1 is engaging Computer Science Specialists to contribute their advanced expertise in support of a customer's project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

Analyze and evaluate computer science problems, solutions, and applied methodologies to inform AI system training.

Author, critique, or edit technical documentation such as system design documents, research write-ups, or technical papers to ensure clarity and rigor.

Develop and review real-world computer science scenarios, datasets, and case studies for use in AI learning workflows.

Assess technical queries and propose detailed, well-structured responses based on current best practices and foundational concepts.

Collaborate with project coordinators to refine task guidelines and optimize data quality.

Provide insightful written and verbal feedback to improve model accuracy, relevance, and robustness.

Support the evaluation and continuous improvement of AI-driven tools with constructive analysis and domain expertise.

Preferred Qualifications

BSc, MSc, or PhD in Computer Science or a closely related discipline.

Experience authoring technical papers, system design documents, or research publications.

Demonstrated expertise in a specialized domain such as algorithms, distributed systems, networking, databases, or artificial intelligence.

Exceptional written and verbal communication skills, with a passion for precise, effective expression.

Proven ability to break down complex concepts for diverse audiences and applications.

Track record of participation in collaborative research, technical reviews, or open-source contributions.

Adaptability and commitment to delivering high-quality, insightful contributions within project guidelines.