2

Full Time Ai Coding Jobs (NOW HIRING)

Information Technology Employment Type: Full Time Location: Houston, TX Compensation: $18.00 / hour ... No-code tools (Zapier, Make, n8n) * Python (optional but preferred) * Assist in developing AI ...

... of full-time production engineering experience shipping software to real users at real scale. * At least one prior senior, staff, or tech-lead role. * Daily, fluent use of AI coding tools (Claude ...

No-code tools (Zapier, Make, n8n) * Python (optional but preferred) * Assist in developing AI ... Must be available to work full-time for the entire duration of the internship program onsite (9 ...

... AI coding assistants to deliver reliable, scalable solutions. Responsibilities: · Develop ... on a full time and consulting basis. If you're interested in a role where top performance is ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Architect and maintain robust code for training and serving ML models that predict and optimize RF ...

We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development ... Architect and maintain robust code for training and serving ML models that predict and optimize RF ...

next page

Showing results 1-20

Full Time Ai Coding information

See salary details

$13

$33

$54

How much do full time ai coding jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for full time ai coding in the United States is $33.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.00 and $39.90 per hour, depending on experience, location, and employer.

What is the difference between Full Time Ai Coding vs Data Scientist?

AspectFull Time Ai CodingData Scientist
Required CredentialsBachelor's in CS, AI, or related; coding certificationsBachelor's/Master's in CS, Statistics, or related; data analysis certifications
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, consulting
Employer & Industry UsagePrimarily in AI development teamsAcross industries for data analysis and insights
Common Search & ComparisonYesYes

Full Time Ai Coding focuses on developing AI algorithms and software, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical tools. While both roles involve data and programming, Ai Coders specialize in building AI models, whereas Data Scientists focus on interpreting data for decision-making.

Which 3 jobs will survive AI?

Full Time AI Coding roles are likely to persist because they involve designing, developing, and maintaining AI systems that require human oversight, creativity, and complex problem-solving. Jobs that require emotional intelligence, strategic decision-making, and specialized technical skills, such as AI researchers, data scientists, and software engineers, are expected to remain in demand despite AI advancements.

What is the 30% rule for AI?

The 30% rule in AI refers to a guideline suggesting that no more than 30% of a model's features or data should be derived from external sources to prevent overfitting and ensure model robustness. For AI coding roles, understanding data quality and proper feature selection is essential to develop effective models within such constraints.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI engineer, machine learning director, or AI research scientist, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may require specialized certifications or advanced degrees. Compensation at this level reflects the value of expertise in developing and deploying complex AI systems in competitive industries.

What is a Full Time AI Coding job?

A Full Time AI Coding job typically involves working as a software engineer or developer focused on creating, implementing, and maintaining artificial intelligence models and systems. Professionals in this role use programming languages like Python, R, or Java to build algorithms, train models, and deploy AI solutions for various industries. Responsibilities may include data preprocessing, model evaluation, and optimizing code for performance. These positions often require strong analytical skills, experience with machine learning frameworks, and collaboration with cross-functional teams. Full-time roles generally offer stable employment with benefits and the opportunity to work on advanced technology projects.

Are AI coders in demand?

AI coders are in high demand due to the growing adoption of artificial intelligence across industries. Skills in machine learning, deep learning, and programming languages like Python are particularly sought after, with job opportunities increasing as companies develop AI-driven solutions.

What are the main challenges faced by professionals in full-time AI coding roles, and how can they be addressed?

One of the main challenges in full-time AI coding roles is keeping up with the rapid evolution of AI frameworks and tools. Professionals often encounter complex problem-solving scenarios that require a solid understanding of both machine learning theory and practical coding skills. Collaboration is also essential, as AI projects are typically team-driven and involve working closely with data scientists, product managers, and software engineers. To address these challenges, continuous learning, clear communication, and proactive participation in code reviews and team meetings are crucial for success.

What are the key skills and qualifications needed to thrive as a Full Time AI Coding professional, and why are they important?

To thrive as a Full Time AI Coding professional, you need strong programming skills (especially in Python), a solid grasp of machine learning concepts, and a relevant degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and knowledge of version control systems like Git are typically required. Critical thinking, problem-solving ability, and effective teamwork are vital soft skills that distinguish top performers. These skills and qualities are essential for building robust AI solutions, collaborating on complex projects, and driving innovation in a rapidly evolving field.
What cities are hiring for Full Time Ai Coding jobs? Cities with the most Full Time Ai Coding job openings:
What are the most commonly searched types of Ai Coding jobs? The most popular types of Ai Coding jobs are:
What states have the most Full Time Ai Coding jobs? States with the most job openings for Full Time Ai Coding jobs include:
What job categories do people searching Full Time Ai Coding jobs look for? The top searched job categories for Full Time Ai Coding jobs are:
Infographic showing various Full Time Ai Coding job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $68,683 per year, or $33 per hour.
AI Solutions Fellowship

AI Solutions Fellowship

Cotton Holdings

Houston, TX • On-site

$18/hr

Full-time

Re-posted 17 days ago


Job description

AI Solutions Fellowship
Department: Information Technology
Employment Type: Full Time
Location: Houston, TX
Compensation: $18.00 / hour
Description
Are you ready to jumpstart your career and make a real impact this summer?
We are looking for two highly motivated summer interns to work on real-world AI use cases across business functions (e.g., operations, finance, legal, marketing). This is a hands-on role focused on experimenting with AI tools, building prototypes, and translating ideas into practical solutions.
Interns will work directly on live problems, not theoretical projects, and will gain exposure to how AI is deployed in a business environment.
Location: Houston, Texas - Internship will be onsite
Duration: 9 Weeks (June 1st, 2026 - July 31, 2026)
Key Responsibilities
  • Identify and explore AI use cases across different business functions
  • Build prototypes using tools such as:
  • ChatGPT / Claude / Gemini etc.
  • No-code tools (Zapier, Make, n8n)
  • Python (optional but preferred)
  • Assist in developing AI agents / workflows (e.g., document processing, automation, analytics)
  • Conduct research on emerging AI tools and summarize applicability
  • Work with stakeholders to understand problems and propose solutions
  • Document workflows, learnings, and results clearly
  • Present weekly demos of progress and outcomes
  • Hands-on experience building real AI solutions (not just learning theory)
  • Exposure to business + technology intersection
  • Mentorship on structured problem-solving and execution
  • Opportunity to contribute to production-level AI initiatives
  • Strong portfolio projects for college / career

Requirements:
  • All Candidates
    • Strong curiosity and willingness to learn quickly
    • Comfortable experimenting with new tools independently
    • Ability to break down problems and think logically
    • Good communication skills (written + verbal)
    • Self-driven and able to work with minimal supervision
  • High School Students (Rising 10th-12th)
    • Demonstrated interest in AI, coding, or STEM (e.g., robotics, CS classes)
    • Built or experimented with any project (even small ones)
    • Strong initiative (self-starter mindset is key
  • College Students (Freshman-Senior)
    • Pursuing Computer Science, Engineering, Data Science, MBA, or related field
    • Experience with:
      • Python OR
      • APIs OR Automation tools
      • Prior project or internship experience preferred
  • Availability: Must be available to work full-time for the entire duration of the internship program onsite (9 weeks - Houston, Texas).

Why Join Us?
  • Mentorship: Learn from industry experts who are passionate about your growth and success.
  • Networking: Build a network of professionals and peers that will support you throughout your career.
  • Career Pathways: Gain a clearer understanding of potential career paths in your field of study.
  • Hands-On Experience: Work on real projects that have a lasting impact on our business and your career.
  • Innovative Environment: Be part of a company that values creativity, innovation, and continuous improvement.