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Remote Computer Science Fresh Graduate Jobs in California

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Computer Science, or equivalent * Graduate degree and/or 5+ years experience a plus Additional ...

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Remote Computer Science Fresh Graduate information

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

To thrive as a Remote Computer Science Fresh Graduate, you need a solid foundation in programming languages, algorithms, and software development principles, typically supported by a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Jira, and cloud platforms is highly valued. Strong problem-solving abilities, self-motivation, and effective written communication are crucial soft skills for remote work success. These skills and qualities are essential to deliver high-quality work independently, collaborate efficiently with distributed teams, and adapt quickly to new challenges in a remote environment.

What are remote computer science fresh graduates?

Remote computer science fresh graduates are individuals who have recently completed a degree in computer science and are seeking or starting entry-level positions that allow them to work from home or any location outside a traditional office. These roles typically involve tasks such as software development, web development, or IT support, and require strong technical skills gained through academic coursework or internships. Remote positions offer flexibility and the opportunity to work for companies worldwide, but may also require strong self-motivation and communication skills to collaborate effectively with distributed teams.

What are some common challenges Remote Computer Science Fresh Graduates face during their first year, and how can they overcome them?

Remote Computer Science Fresh Graduates often encounter challenges like adapting to distributed team communication, managing time effectively without in-person supervision, and bridging the gap between academic knowledge and practical coding tasks. To overcome these, it's helpful to proactively seek feedback, participate in virtual team meetings, and utilize collaboration tools like Slack or GitHub. Building a strong routine, asking questions early, and leveraging mentorship opportunities can also make the transition smoother and support your long-term growth.
What are the most commonly searched types of Computer Science Fresh Graduate jobs in California? The most popular types of Computer Science Fresh Graduate jobs in California are:
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What cities in California are hiring for Remote Computer Science Fresh Graduate jobs? Cities in California with the most Remote Computer Science Fresh Graduate job openings:

Copy of PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Re-posted 15 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