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Part Time Ai Coding Jobs (NOW HIRING)

TripleTen

We prioritize hands-on experience with tools such as Cursor, Claude Code, GitHub Copilot, or ... You can join us on a part-time basis , contributing as an instructor leading live sessions and ...

TripleTen

$40/hr

Description At Nebius Academy we're building a hands-on online course for experienced mobile developers on the practical use of Cursor and other AI coding tools in professional mobile development ...

DataAnnotation

Certified Coding Specialist (CCS)

Iowa, LA · Remote

$20/hr

You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to ... Benefits Full-time or part-time remote position Choose which projects you want to work on Flexible ...

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

As of May 29, 2026, the average hourly pay for part time ai coding in the United States is $19.25, according to ZipRecruiter salary data. Most workers in this role earn between $11.30 and $26.68 per hour, depending on experience, location, and employer.

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

To thrive as a Part-Time AI Coding professional, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and relevant experience or coursework in computer science or data science. Familiarity with AI development frameworks such as TensorFlow, PyTorch, and version control systems like Git is typically required. Critical thinking, problem-solving, and effective communication help you adapt quickly and collaborate with remote or cross-functional teams. These skills ensure you can efficiently contribute to AI projects, deliver high-quality code, and keep up with the rapid pace of advancements in the field.

What are some common challenges faced by part-time AI coding professionals, and how can they be managed?

Part-time AI coding professionals often face challenges such as balancing project deadlines with limited working hours and staying updated with rapid advancements in AI technologies. Managing time effectively and setting clear expectations with employers or clients can help address these issues. Additionally, proactively engaging in continuous learning and leveraging online resources can ensure you remain current in the field. Regular communication and collaboration with team members, even in a part-time capacity, is also essential for project success.

What is a Part Time AI Coding job?

A Part Time AI Coding job involves working with artificial intelligence technologies, such as machine learning, data analysis, and programming, on a part-time basis. These roles typically require knowledge of programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and the ability to work on projects related to data processing or model development. Part-time AI coding positions offer flexible hours and may involve remote work, making them suitable for students or professionals seeking additional experience in AI. Responsibilities can range from writing code for AI applications to assisting in research or building prototypes. The demand for AI coding skills is growing, making these roles valuable for gaining experience in a rapidly evolving field.

What is the difference between Part Time Ai Coding vs Part Time Data Analyst?

AspectPart Time Ai CodingPart Time Data Analyst
Required CredentialsBasic programming skills, understanding of AI conceptsStatistical knowledge, data analysis skills, often some programming
Work EnvironmentTech companies, startups, remote freelance projectsBusiness environments, research firms, remote or onsite
Industry UsageAI development, machine learning projectsData interpretation, reporting, business insights
Search & Comparison IntentFocus on AI-specific tasks, coding skillsFocus on data analysis, reporting skills

Part Time Ai Coding involves working on AI and machine learning projects, requiring programming and AI knowledge, often in tech environments. Part Time Data Analyst focuses on interpreting data and generating reports, with skills in statistics and data tools. While both roles may be remote and part-time, they serve different industry needs and require distinct skill sets.

More about Part Time Ai Coding jobs
What cities are hiring for Part Time Ai Coding jobs? Cities with the most Part 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 Part Time Ai Coding jobs? States with the most job openings for Part Time Ai Coding jobs include:
What job categories do people searching Part Time Ai Coding jobs look for? The top searched job categories for Part Time Ai Coding jobs are:
Part Time Ai Coding jobs near you
Infographic showing various Part Time Ai Coding job openings in the United States as of May 2026, with employment types broken down into 8% As Needed, 60% Full Time, 20% Part Time, and 12% Contract. Highlights an 55% Physical, 26% Hybrid, and 19% Remote job distribution, with an average salary of $40,035 per year, or $19.2 per hour.
Instructor - Masterclass, GenAI/Agentic AI Workshops

Instructor - Masterclass, GenAI/Agentic AI Workshops

Fullstack Academy

Remote

Part-time

Posted 10 days ago

Job description

About Us
Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.
Position Overview
The Part-Time Instructor for Generative AI & AI Productivity Tools plays a key role in delivering engaging and practical learning experiences to adult learners enrolled in our online programs.
Instructors facilitate curriculum content, support student learning, and connect AI-assisted workflows to real-world productivity, development, and automation use cases. This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment.
Classes are delivered 100% online in a synchronous format.
Key Responsibilities
Deliver live online training sessions on Generative AI tools, AI-assisted workflows, and automation concepts.
Cover key topics including:
  • Practical use of AI assistants for research, documentation, and structured prompting
  • AI-assisted coding and developer productivity workflows
  • Repository navigation, debugging, and Git/GitHub workflows using AI tools
  • Prompt engineering fundamentals and AI interaction strategies
  • Building assistant-style automations across messaging, files, email/calendar, and APIs
  • AI-assisted UI planning and Figma workflows
  • Frontend basics including HTML, CSS, JavaScript, and React concepts
  • Setup and configuration of developer tools and AI environments
  • CLI workflows, environment configuration, and deployment basics
  • Safe usage of API keys, permissions, verification, and cost management

Create structured workshop content including:
  • Lab guides
  • Hands-on activities
  • Practice exercises
  • Prompts and workflow templates

Provide live demos, guided practice sessions, and hands-on learner support.
Support learners with setup, CLI, configuration, deployment, and environment-related issues.
Mentor learners and resolve technical or conceptual queries.
Conduct assessments, evaluations, or mock sessions when required.
Maintain session quality metrics and learner engagement.
Collaborate with internal teams on curriculum updates, delivery planning, and learner feedback.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Design, or related field
  • 10+ years of professional experience in software engineering, AI automation, developer productivity, or technical training
  • Hands-on experience with AI assistants such as Claude, ChatGPT, Gemini, or similar tools
  • Working familiarity with AI coding tools including:
    • Claude Code
    • OpenClaw
    • Cursor
    • GitHub Copilot
    • Codex
    • Similar AI coding agents
  • Strong comfort with CLI tools, VS Code, Git/GitHub, APIs, and JSON/YAML/Markdown workflows
  • Ability to build simple AI-powered workflows using tools, files, APIs, and integrations
  • Familiarity with frontend concepts including Figma, HTML, CSS, JavaScript/React, and responsive UI principles
  • Comfort with Linux/VPS setup, SSH, environment variables, and deployment workflows
  • Excellent communication, facilitation, and presentation skills
  • Ability to simplify technical concepts into practical, outcome-focused learning experiences

Preferred Skills
  • Experience designing and delivering hands-on AI or automation workshops
  • Background in developer productivity, AI workflow consulting, or automation engineering
  • Experience using AI-assisted development workflows in real-world projects
  • Exposure to prompt engineering, agentic workflows, and automation integrations
  • Familiarity with cloud platforms and deployment pipelines
  • Experience mentoring technical teams or learners in online environments

Preferred Background
Candidates with experience in the following areas are highly preferred:
  • AI workflow consultants
  • Developer productivity trainers
  • AI automation engineers
  • Software engineers using AI coding tools
  • Frontend engineers with Figma experience
  • Product designers with AI tooling exposure
  • DevOps engineers
  • Technical trainers specializing in GenAI and automation
Key Competencies
  • Strong learner engagement and facilitation skills
  • Ability to explain complex AI and technical concepts clearly
  • Structured and professional virtual delivery
  • Practical, hands-on teaching approach
  • Problem-solving and mentoring mindset
  • Strong collaboration and communication skills
  • Adaptability to rapidly evolving AI tools and workflows
Student Support & Mentorship
Provide individualized student support during live sessions and scheduled office hours.
Maintain regular communication with students regarding progress, expectations, and milestones.
Respond to student and staff communications in a timely and professional manner.
Provide clear, constructive, and timely feedback on assignments and assessments.
Performance Monitoring
Evaluate student progress based on course deliverables and established grading rubrics.
Maintain accurate documentation of student performance and engagement.
Identify and escalate academic or performance concerns to the Lead Instructor or appropriate staff.
Support performance improvement plans when necessary.
Collaboration & Professional Conduct
Adhere to institutional policies and instructional team standards.
Foster an inclusive, respectful, and professional learning environment.
Serve as a role model and mentor for students.
Collaborate with instructional staff and program teams to improve the student learning experience.
Represent the organization professionally when interacting with students, staff, and external stakeholders.
Work Schedule
Part-Time instructors typically work 10-15 hours per week depending on cohort schedules.
The total weekly part-time commitment is expected to be 8-12 hours.
Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday)
Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday)
Flexibility for evening availability is required.
Compensation
The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.
Equal Employment Opportunity
We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
Work Authorization
Applicants must be legally authorized to work in the United States at the time of application and throughout employment.
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