ZipRecruiter

Log In

2

Remote Computer Science Artificial Intelligence Jobs in Texas

L3HHCM20

Artificial Intelligence Specialist

Greenville, TX · On-site +1

$109K - $203K/yr

Artificial Intelligence Specialist Job Code: 38585 Job Location: Palm Bay, FL OR Fort Wayne, IN OR ... Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related ...

Varsity Tutors

College Computer Science Tutor

Irving, TX · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Dallas, TX · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

Varsity Tutors

College Computer Science Tutor

Plano, TX · Remote

$40/hr

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

next page

Showing results 1-20

People also search for

All JobsRemote Computer Science Artificial Intelligence JobsRemote Computer Science Artificial Intelligence Jobs in Texas

Remote Computer Science Artificial Intelligence information

What is the difference between Remote Computer Science Artificial Intelligence vs Remote Data Science?

AspectRemote Computer Science Artificial IntelligenceRemote Data Science
Required CredentialsBachelor's or higher in Computer Science, AI certificationsBachelor's or higher in Data Science, Statistics, or related fields
Work EnvironmentSoftware development, AI model training, algorithm designData analysis, visualization, statistical modeling
Employer & Industry UsageTech companies, research labs, AI startupsFinance, healthcare, e-commerce, tech firms
Common Search & ComparisonYesNo

Remote Computer Science Artificial Intelligence roles focus on developing AI algorithms, machine learning models, and software solutions. In contrast, Remote Data Science involves analyzing data, creating visualizations, and deriving insights. While both fields require strong technical skills and often similar educational backgrounds, their core responsibilities differ, making each suitable for different career interests within the tech industry.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Artificial Intelligence professional, and why are they important?

To thrive as a Remote Computer Science Artificial Intelligence professional, you need a strong background in computer science fundamentals, mathematics, machine learning, and programming languages such as Python, often supported by a relevant degree. Familiarity with AI frameworks (like TensorFlow or PyTorch), cloud platforms, and version control systems is typically required, along with certifications in AI or data science. Excellent problem-solving, self-motivation, and effective remote communication skills help you stand out in distributed teams. These skills and qualities are crucial for developing robust AI solutions, collaborating virtually, and adapting to fast-evolving technologies.

What are Remote Computer Science Artificial Intelligence jobs?

Remote Computer Science Artificial Intelligence (AI) jobs involve working from a location outside of a traditional office to design, develop, and implement AI systems and algorithms. Professionals in this field use programming, data analysis, and machine learning techniques to solve complex problems in areas such as natural language processing, computer vision, and robotics. These roles often require strong knowledge of mathematics, statistics, and programming languages like Python or Java. Remote AI jobs offer flexibility and the opportunity to collaborate with global teams using digital communication tools.

How do remote Computer Science Artificial Intelligence professionals typically collaborate with team members across different time zones?

Remote AI professionals often work with global teams, requiring strong communication and collaboration skills. Teams frequently use project management tools, shared code repositories, and regular video meetings to stay aligned on goals and progress. Flexibility with meeting times and thorough documentation are essential for ensuring smooth collaboration. Building rapport through virtual channels and actively participating in discussions helps foster a sense of teamwork despite physical distance.
What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Texas? The most popular types of Computer Science Artificial Intelligence jobs in Texas are:
What are popular job titles related to Remote Computer Science Artificial Intelligence jobs in Texas? For Remote Computer Science Artificial Intelligence jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Artificial Intelligence jobs in Texas look for? The top searched job categories for Remote Computer Science Artificial Intelligence jobs in Texas are:
What cities in Texas are hiring for Remote Computer Science Artificial Intelligence jobs? Cities in Texas with the most Remote Computer Science Artificial Intelligence job openings:
Remote Computer Science Artificial Intelligence jobs near you

Artificial Intelligence Specialist

L3HHCM20

Greenville, TX • On-site, Remote

$109K - $203K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago

Job description

Job Title: Artificial Intelligence Specialist

Job Code: 38585

Job Location: Palm Bay, FL OR Fort Wayne, IN OR Rochester, NY OR Chantilly, VA OR Waco, TX OR Camden, NJ OR Colorado Springs, CO OR Greenville, TX OR Herndon, VA

Job Schedule: 9/80 (Every other Friday off)

Job Description:

L3Harris is seeking an AI Specialist to support the Space and Mission Systems (SMS) segment AI team serving all SMS sectors. The AI Specialist will design, deploy, and maintain AI-enabled applications both in unclassified and secure containerized environments. This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform engineering, and DevSecOps in a mission-critical defense environment.

Qualifications:

Ability to obtain and maintain a DoD Secret clearance is required
Bachelor's Degree in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or related technical field and a minimum of 6 years of prior relevant experience; Or, Graduate Degree with a minimum of 4 years of prior related experience
4+ years of experience in at least one programming language (Python preferred)

Preferred Additional Skills:

Working knowledge of Linux (RHEL/AlmaLinux preferred; Ubuntu acceptable)
Hands-on experience with containerization (Docker/Podman), Git (Bitbucket/GitLab), and basic SQL / relational databases (PostgreSQL, MySQL, etc.)
Familiarity with at least one major cloud provider (AWS or Azure) and Agile tools (Jira, Confluence)
Ability to comply with export-controlled (ITAR/EAR) and Controlled Unclassified Information (CUI) handling requirements
LLMs and Generative AI; RAG patterns and agentic frameworks (LangGraph); Python web/API development (FastAPI, Flask, Django)
Local AI model stacks (vLLM, LiteLLM, Ollama); reverse proxies (Caddy, Nginx, Traefik); vector databases (pgvector, Qdrant, Milvus, Weaviate)
LLM evaluation tooling (RAGAS, DeepEval, promptfoo); observability (LangSmith, Phoenix); coursework or project experience in machine learning, NLP, or deep learning
GitOps/DevSecOps concepts and toolchains; CI/CD authoring (Bitbucket Pipelines, GitLab CI); JFrog Artifactory; Microsoft Entra ID app registrations and Graph API in GCC High
Secure software development in regulated/mission-critical environments; familiarity with the NIST AI Risk Management Framework (AI RMF) or OWASP Top 10 for LLM Applications
Experience deploying AI in classified or highly regulated environments, including familiarity with AI ATO processes, data governance requirements, and secure AI infrastructure (on-prem, air-gapped, or GovCloud)
Direct experience with AI-assisted software development tools and agentic coding frameworks (e.g., Claude Code, GitHub Copilot, Cursor, Codex) including measuring productivity outcomes
Background in defense, aerospace, or adjacent mission-critical industries, with experience navigating the unique constraints of delivering AI in program-of-record environments

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $109,500-$203,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $95,000-$177,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

The application window for this requisition is anticipated to close September 01, 2026.

#LI-CG1

Apply