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Computer Information Science Jobs in Beaumont, TX

micro1 AI

AI Training Specialist - Physics

Beaumont, TX · On-site +1

$80 - $150/hr

Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

TechServ Consulting & Training

Engineer

Beaumont, TX

Use CAD Related Software for Client requirements. * Will assume the lead project engineer role and ... Research information and will compile data for client presentations, shop drawings for review, and ...

TechServ Engineering & Consulting

Engineer

Beaumont, TX · On-site

Use CAD Related Software for Client requirements. * Will assume the lead project engineer role and ... Research information and will compile data for client presentations, shop drawings for review, and ...

Danaher

Digital Analyst Internships

Beaumont, TX · On-site

$94K - $111K/yr

Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a related field * Familiarity with data analysis platforms and tools, comfortable extracting and ...

Gfoat

Associate Municipal Judge

Vidor, TX · On-site

$80 - $120/hr

... computer screen, city/departmental policies, procedures, and statistics. Ability to write reports ... Ability to effectively present information and respond to questions from groups of managers ...

Onterris

LDAR Field Technician

Port Arthur, TX

$22/hr

Our scientists, engineers, field teams,consultantsand professionals collaborate across disciplines ... Effective computer skills (Excel and Microsoft Office are essential) and proficiency with Android ...

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All JobsComputer Information Science JobsComputer Information Science Jobs in Beaumont, TX

Computer Information Science information

See Beaumont, TX salary details

$5

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$61

How much do computer information science jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computer information science in Beaumont, TX is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $28.56 and $48.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer information science professional?

To thrive as a Computer Information Science professional, you need a solid understanding of programming, systems analysis, algorithms, and database management, usually supported by a degree in computer science or a related field. Familiarity with technical tools such as SQL, Python, Java, and systems like Linux, as well as certifications like CompTIA, CISSP, or AWS, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals excel in collaborative, innovative environments. These competencies are crucial for designing robust solutions, ensuring system reliability, and facilitating teamwork in the technology sector.

What are some typical challenges faced by professionals in computer information science roles, and how can they be addressed?

Professionals in Computer Information Science often encounter challenges such as rapidly evolving technologies, balancing multiple project deadlines, and ensuring robust cybersecurity. Staying current through continuous learning and professional development is essential to keep up with new programming languages, frameworks, and security protocols. Effective collaboration with cross-functional teams, clear communication, and strong problem-solving skills can help manage workloads and address technical issues efficiently. Additionally, leveraging mentorship and networking within the field can provide valuable insights and support.

What is the difference between Computer Information Science vs Computer Science?

AspectComputer Information ScienceComputer Science
CredentialsBachelor's degree often in CIS or related fieldsBachelor's or higher in CS or related fields
Work EnvironmentIT departments, tech support, systems administrationSoftware development, algorithms, research
Industry UsageBusiness, healthcare, government, educationTech companies, academia, research labs
Common Search IntentIT roles, systems management, network administrationSoftware engineering, programming, algorithms

Computer Information Science focuses on applying computing technology in practical settings like IT support and systems management, while Computer Science emphasizes software development, algorithms, and theoretical foundations. Both fields share similar credentials but differ in their primary work environments and industry applications.

What is computer information science?

Computer information science is a field that focuses on the study of how computer systems and technology are used to manage, process, and store information. It combines elements of computer science, information technology, and data management. Professionals in this field design and implement systems that help organizations organize, secure, and analyze data efficiently. The discipline also covers topics such as software development, database management, networking, and cybersecurity.

What job categories do people searching Computer Information Science jobs in Beaumont, TX look for?

The top searched job categories for Computer Information Science jobs in Beaumont, TX are:

What cities near Beaumont, TX are hiring for Computer Information Science jobs?

Cities near Beaumont, TX with the most Computer Information Science job openings:

Computer Information Science jobs near you
Infographic showing various Computer Information Science job openings in Beaumont, TX as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $85,097 per year, or $40.9 per hour.

Physics Content Evaluator (LaTeX/Python)

micro1 AI

Beaumont, TX • On-site, Remote

$80 - $150/hr

Part-time

Posted 11 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. 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. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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