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Remote 2025 New Grad Computer Science Jobs (NOW HIRING)

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Remote 2025 New Grad Computer Science information

What are the key skills and qualifications needed to thrive as a Remote 2025 New Grad Computer Science professional, and why are they important?

To thrive as a Remote 2025 New Grad Computer Science professional, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, data structures, and typically a bachelor's degree in computer science or a related field. Familiarity with development tools like Git, cloud services (AWS, Azure), and collaborative platforms (Jira, Slack), along with relevant internships or certifications, is beneficial. Strong problem-solving abilities, self-motivation, proactive communication, and adaptability are crucial soft skills, especially in a remote work environment. These skills and qualities enable effective independent work, seamless collaboration, and successful contribution to technical projects from a remote setting.

What are some common challenges faced by remote new grad computer science professionals, and how can they overcome them?

Remote new grad computer science professionals often face challenges such as effective communication with team members, staying motivated without in-person supervision, and adapting to different time zones or work schedules. To overcome these, it's important to proactively schedule regular check-ins with your team, make use of collaboration tools like Slack or Microsoft Teams, and set clear daily goals to maintain productivity. Seeking mentorship and participating in virtual team activities can also help you feel more connected and supported as you start your career remotely.

What are Remote 2025 New Grad Computer Science jobs?

Remote 2025 New Grad Computer Science jobs are entry-level positions aimed at recent or upcoming graduates with a degree in computer science, allowing them to work from any location. These roles typically involve software development, quality assurance, data analysis, or related technical tasks, and are designed to help new graduates start their careers in tech. Employers look for foundational programming skills, familiarity with relevant tools, and a willingness to learn. Working remotely, new grads collaborate with teams using digital communication tools and often undergo mentorship or onboarding programs to support their transition into the workforce.
More about Remote 2025 New Grad Computer Science jobs
What cities are hiring for Remote 2025 New Grad Computer Science jobs? Cities with the most Remote 2025 New Grad Computer Science job openings:
What are the most commonly searched types of 2025 New Grad Computer Science jobs? The most popular types of 2025 New Grad Computer Science jobs are:
What states have the most Remote 2025 New Grad Computer Science jobs? States with the most job openings for Remote 2025 New Grad Computer Science jobs include:
Infographic showing various Remote 2025 New Grad Computer Science job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 7 days ago


Job description

Company Description

An enterprise client is seeking highly technical Computer Science Experts with PhDs to support the training and evaluation of advanced AI models. This initiative focuses on improving the accuracy, reasoning, and domain expertise of generative AI systems through expert human feedback.

The selected candidates will contribute to the company's large AI training project by evaluating AI-generated responses, developing domain-specific prompts, and assessing technical accuracy across complex Computer Science topics. This is a fully remote, freelance opportunity with flexible working hours and the potential for ongoing work beyond the initial project timeline.

    Job Description

    This opportunity is ideal for highly analytical professionals with advanced academic or industry experience in Computer Science or related technical fields.

    What You'll Do:

    • Assess the factual accuracy, relevance, and quality of AI-generated Computer Science content
    • Craft and answer domain-specific questions related to Computer Science and adjacent technical disciplines
    • Evaluate and rank AI-generated responses based on technical correctness and reasoning quality
    • Provide expert-level feedback to improve AI model performance and domain understanding
    • Support AI training initiatives by applying research, analytical thinking, and technical expertise

    This role is a strong fit for professionals with backgrounds in:

    • Computer Science
    • Software Engineering
    • Machine Learning
    • Cybersecurity
    • Distributed Systems
    • Computational Science
    • Information Theory
    • Quantitative Finance (highly preferred)
    • Statistics
    • Electrical & Computer Engineering
    • Technical Research or Academia
    Qualifications

    Requirements:

    • Native or fluent English communication skills (written and verbal)
    • PhD in Computer Science or a closely related technical field
    • Experience working as a software engineer, researcher, or in another highly technical or analytical role
    • Strong technical reasoning and attention to detail
    • Ability to assess complex AI-generated technical outputs with accuracy and consistency

    Nice to Haves:

    • Strong academic or industry research background
    • Experience reviewing technical content, publications, or research outputs
    • Familiarity with AI systems, large language models, or AI evaluation workflows
    • Experience in advanced Computer Science domains such as machine learning, distributed systems, or cybersecurity
    Additional Information
    • Fully remote freelance opportunity with flexible working hours
    • Work is expected to begin immediately and continue through the end of June, with potential extensions
    • Compensation: Up to $150 USD per hour based on project participation
    • Weekly lump-sum payments issued for completed work tracked within the client platform
    • No guaranteed hours or task volume; work availability may vary weekly
    • Candidates must be physically located in one of the following regions: United States, Canada, Puerto Rico, Mexico, Great Britain, Australia, New Zealand, or Argentina
    • Selected candidates will receive onboarding instructions and platform access after acceptance
    • Candidates should not independently create an Outlier profile prior to onboarding