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Computer Science Jobs in Hawthorne, CA (NOW HIRING)

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Computer Science information

See Hawthorne, CA salary details

$57.4K

$84.5K

$99.6K

How much do computer science jobs pay per year?

As of Jun 17, 2026, the average yearly pay for computer science in Hawthorne, CA is $84,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,800.00 and $95,100.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What careers do computer science have?

Computer science graduates can pursue careers such as software developers, systems analysts, cybersecurity specialists, data scientists, and network administrators. These roles often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and operating systems.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What kind of jobs are there in computer science?

Computer science offers a variety of jobs including software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, and database administrator. These roles often require skills in programming languages, problem-solving, and knowledge of tools like operating systems and development environments.

What can I do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and problem-solving, often requiring knowledge of programming languages, databases, and operating systems.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a Computer Science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What jobs can I do with computer science?

With a degree in computer science, you can pursue roles such as software developer, systems analyst, cybersecurity analyst, data scientist, network administrator, and database administrator. These jobs often require knowledge of programming languages, problem-solving skills, and familiarity with tools like Linux, Python, or SQL.
More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Hawthorne, CA? The most popular types of Computer Science jobs in Hawthorne, CA are:
What job categories do people searching Computer Science jobs in Hawthorne, CA look for? The top searched job categories for Computer Science jobs in Hawthorne, CA are:
What cities near Hawthorne, CA are hiring for Computer Science jobs? Cities near Hawthorne, CA with the most Computer Science job openings:
Computer Science jobs near you

Computer Sciences - Graduates - AI Training - Long Beach, US

Prolific Academic Ltd

Long Beach, CA • On-site, Remote

$60/hr

Full-time

Posted 26 days ago

Be an early applicant

Job description

Computer Sciences - Graduates - AI TrainingAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Computer Science Specialists to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in CS research or technical analysis, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $60/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Educational Background: at minimum, a BSc (Bachelor of Science) in Computer Science or a closely related technical field.
  • Technical Literacy: ability to interpret research papers, understand complex algorithms, and review code logic.
  • Analytical Mindset: high level of cognitive competency with a sharp eye for technical hallucinations or logical flaws.
  • Professional Verification: a valid LinkedIn profile to verify your degree and background during the screening process.
  • A PayPal account to receive payment from our clients
What you'll be doing in the role
  • AI Evaluation & Ranking: comparing multiple AI-generated responses to technical prompts and ranking them based on accuracy, logic, and safety.
  • Scientific Review: reviewing CS research papers alongside AI-generated summaries and graphical abstracts to ensure scientific integrity.
  • Fact-Checking: identifying inaccuracies where the AI has misinterpreted technical data, formulas, or research findings.
  • RLHF (Reinforcement Learning from Human Feedback): providing the human "ground truth" to help models align with professional standards in software engineering and data science.
  • Code & Logic Verification: auditing AI-generated code snippets or architectural diagrams for structural and functional correctness.
Key Technologies
  • Generative AI & LLMs: training the next generation of technical and reasoning models.
  • Technical Documentation: working with research papers, code repositories, and data visualizations.
  • Verification Frameworks: using structured evaluation rubrics to audit AI performance.
Why Prolific is a great platform to join as a Participant

Joining our Expert Network will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.
Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.