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Phd In Computer Science Jobs in Houston, TX (NOW HIRING)

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... prompts in your area of expertise * Review and interpret scientific literature to provide ...

What We Look For In a College Computer Science Tutor * Advanced Subject Mastery: Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture, operating systems ...

Master's or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Engineering, or a related quantitative field * 5+ years of experience building and deploying machine learning ...

BMS Data Analysis Engineer

Houston, TX · On-site

$109K - $131K/yr

Required : • Master's or PhD in Computer Science, Mathematics, Engineering, or a related field. • 2-5 years of experience in data analysis, preferably in battery systems, energy storage, or ...

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Phd In Computer Science information

See Houston, TX salary details

$54K

$79.4K

$93.6K

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 Houston, TX is $79,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $89,300.00 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.

Infographic showing various Phd In Computer Science job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $79,366 per year, or $38.2 per hour.
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Houston, TX • Remote

$80 - $90/hr

Part-time

Posted 14 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer 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

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions