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Phd In Computer Science Jobs (NOW HIRING)

DePaul

Adjunct Faculty in Computer Science

Chicago, IL · On-site

DePaul's College of Computing and Digital Media offers BS, MS and PhD degrees in Computer Science. We teach the introductory and core classes in Python, Java and C. Advanced areas of instruction ...

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Phd In Computer Science information

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$56.5K

$83.1K

$98K

How much do phd in computer science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for phd in computer science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What is the salary of a PhD in computer science?

A PhD in computer science typically earns a salary ranging from $80,000 to over $150,000 annually, depending on factors such as experience, location, industry, and role. Positions like research scientist, data scientist, or university professor often require advanced skills in algorithms, programming, and data analysis, which can influence compensation levels.

Is a PhD worth it for CS?

A PhD in Computer Science can lead to careers in research, academia, or specialized industry roles that require advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, for many industry jobs, a master's or bachelor's degree may suffice and offer quicker entry into the workforce.

Is PhD worth it in 2026?

A PhD in Computer Science can lead to advanced research, academic positions, and specialized roles in industry, often requiring strong technical skills and research experience. In 2026, its value depends on career goals, with higher education providing opportunities for leadership in innovation but also involving significant time and financial investment.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research and development roles such as research scientist, data scientist, or machine learning engineer. It also opens opportunities in academia as a university professor or researcher, and in industry for roles involving advanced algorithms, artificial intelligence, and software development that require deep technical expertise.

What is the difference between Phd In Computer Science vs Data Scientist?

AspectPhd In Computer ScienceData Scientist
Required CredentialsPhD in Computer Science or related fieldBachelor's or Master's in Computer Science, Statistics, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsageResearch, academia, advanced R&D projectsData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

While a Phd In Computer Science focuses on research, theoretical development, and advanced computing topics, a Data Scientist applies data analysis, machine learning, and statistical techniques to solve business problems. Both roles require strong technical skills, but their work environments and objectives differ significantly.

What cities are hiring for Phd In Computer Science jobs? Cities with the most Phd In Computer Science job openings:
What states have the most Phd In Computer Science jobs? States with the most job openings for Phd In Computer Science jobs include:
Infographic showing various Phd In Computer Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Computer Science Specialist remote

ESRhealthcare and EXEC STAFF RECRUITERS

New York, NY • Remote

Full-time

Posted 4 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.