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Data Science Entry Level Remote Jobs in California

PSC Biotech

Validation Engineer I

Bodega Bay, CA · On-site +1

$20 - $23/hr

... entry-level, remote position. Successful candidates have a bachelor's degree within an engineering discipline, a passion for technology, and exposure to system/software testing in the life science ...

Cortica

Senior AI Data Engineer

San Diego, CA · On-site +1

$112K - $152K/yr

Senior AI Data Engineer (Full-time) Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA ... The Senior AI Data Engineer will work closely with the data science, finance, and clinical ...

Amgen

Sr. Data Engineer

Thousand Oaks, CA · On-site +1

$138K - $172K/yr

Our award-winning culture is collaborative, innovative, and science based. If you have a passion ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

PSC Biotech

Validation Engineer I

Bodega Bay, CA · On-site +1

$20 - $23/hr

... entry-level, remote position. Successful candidates have a bachelor's degree within an engineering discipline, a passion for technology, and exposure to system/software testing in the life science ...

Diffuse Bio

Software Engineer

Menlo Park, CA · On-site +1

Data science or engineering experience (e.g. ML engineer, data infrastructure engineer). * Is located in the Bay Area (remote work is an option for exceptional candidates). Pluses: * Experience with ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are popular job titles related to Data Science Entry Level Remote jobs in California? For Data Science Entry Level Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in California look for? The top searched job categories for Data Science Entry Level Remote jobs in California are:
What cities in California are hiring for Data Science Entry Level Remote jobs? Cities in California with the most Data Science Entry Level Remote job openings:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in California as of May 2026, with employment types broken down into 67% Full Time, 24% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.

PhD Computer Science Expert for AI Training

Lifted, an Upwork Company™

California City, CA • Remote

$150/hr

Contractor

Posted 13 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

    Apply