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Chatgpt Design Jobs (NOW HIRING)

Mechanical Design Engineer II

Henderson, NV ยท On-site

$70K - $96K/yr

Familiarity with generative AI tools (e.g., ChatGPT, Gemini, Copilot) to assist with technical problem-solving, design automation, data analysis, and workflow optimization. * Professional Skills:

Responsible for design, verification, implementation (ASIC) for high-performance, physical layer ... ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used ...

Digital Design Engineer

Irvine, CA ยท On-site

$146K/yr

Responsible for design, verification, implementation (ASIC) for high-performance, physical layer ... ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used ...

Mechanical Design Engineer IV

Brook Park, OH ยท On-site

$71K - $96K/yr

Mechanical Engineer IV Mechanical Design Engineer IV NASA Glenn Research Center Brook Park, Ohio ... Primary platforms include ChatGPT and Microsoft AI technologies. Education/Experience: Mechanical ...

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Chatgpt Design information

See salary details

$42K

$114.5K

$201.5K

How much do chatgpt design jobs pay per year?

As of Jul 21, 2026, the average yearly pay for chatgpt design in the United States is $114,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $144,000.00 per year, depending on experience, location, and employer.

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 researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and deep learning. These roles are usually found in leading tech companies or specialized AI firms and may involve managing large teams or developing cutting-edge AI solutions.

What is the difference between Chatgpt Design vs Chatbot Developer?

AspectChatgpt DesignChatbot Developer
CredentialsKnowledge of AI, NLP, UX designProgramming skills, AI/NLP certifications
Work EnvironmentDesigning conversational flows, user experienceBuilding, coding, and deploying chatbots
Industry UsageUsed in AI-driven customer service, virtual assistantsDevelops chatbots for various platforms

Chatgpt Design focuses on creating engaging conversational experiences and user interfaces for AI models like ChatGPT, emphasizing UX and dialogue flow. In contrast, Chatbot Developers build and program chatbots, handling coding, integration, and deployment. Both roles often collaborate but serve different stages of chatbot development.

How much do AI designers earn?

AI designers, including roles like ChatGPT designers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and skill level. Senior positions or those with specialized expertise in natural language processing and machine learning can earn higher salaries, often exceeding $200,000.

Which 3 jobs will survive AI?

ChatGPT Design professionals, such as AI trainers and prompt engineers, are likely to continue working as AI systems require human oversight and creativity. Healthcare providers, including doctors and nurses, will remain essential due to the need for empathy and complex decision-making. Skilled trades like electricians and plumbers will also persist because their work involves physical tasks that AI cannot easily replicate.

How do I become an AI designer?

To become an AI designer, you typically need a background in computer science, machine learning, or related fields, along with skills in programming languages like Python and experience with AI frameworks such as TensorFlow or PyTorch. Developing a strong understanding of user experience, data analysis, and AI ethics is also important. Gaining practical experience through projects, internships, or certifications can help build a portfolio for this role.
More about Chatgpt Design jobs
What cities are hiring for Chatgpt Design jobs? Cities with the most Chatgpt Design job openings:
What states have the most Chatgpt Design jobs? States with the most job openings for Chatgpt Design jobs include:
Infographic showing various Chatgpt Design job openings in the United States as of July 2026, with employment types broken down into 53% Full Time, 46% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $114,491 per year, or $55 per hour.
Instructional Design Program Manager

Instructional Design Program Manager

Relativity

Portland, OR โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Posting Type

Remote

Job Overview

The Instructional Design Program Manager is a senior practitioner who designs, scales, and continuously improves learning programs that drive customer adoption, accelerate time-to-value, and deliver measurable business impact. This role is for someone who applies generative AI and agentic workflows as practical tools in how learning gets built, personalized, and improved-not just experimentation.
At this level, you operate at the intersection of learning strategy, AI-augmented development, and program execution. You bring a strong point of view on instructional design practice, contribute to where the function is going, and apply that thinking consistently in your work.

Job Description and Requirements

Program and Strategic Leadership

  • Own one or more instructional design programs or portfolios from intake through measurement and iteration, treating them as living systems rather than project deliverables.

  • Translate business priorities into outcome-based learning strategies with clear roadmaps and defined success metrics tied to adoption, efficiency, and customer impact.

  • Use AI-assisted data synthesis, learner signals, and performance analytics to make faster, better-informed trade-off recommendations across scope, timeline, and resources.

  • Identifyand surface opportunities to expand program value through intelligent content reuse, automated personalization, and adaptive delivery.

AI-Augmented Design and Systems Thinking

  • Build learning programs with generative AI as a corecomponent, applying LLM-assisted content development, automated localization, intelligent content refresh, and AI-driven quality review as standard practice.

  • Design and implement agentic workflows that reduce manual effort in content creation, SME review cycles, translation, accessibility remediation, and learner support.

  • Build modular, prompt-driven content systems where generative AI can extend, update, and personalize assets at scale without proportional human effort.

  • Evaluate emerging AI tools, agents, and platforms and provide recommendations using a clear framework for responsible use, output quality, andbiasmitigation.

  • Apply and uphold governance practices for AI-generated learning content, includingreviewcheckpoints, accuracy standards, and transparency with learners.

Instructional Design Leadership

  • Advance modern instructional design practice, including AI-assisted authoring, dynamic content models, and agent-supported learner experiences such as on-demand coaching, simulated practice, and intelligent job aids.

  • Ensure all learning solutions are workflow-aligned, outcome-oriented, and designed for real customer contexts rather than generic skill coverage.

  • Apply and help evolve design standards that improve quality, efficiency, and reuse, and that are compatible with AI-assisted development pipelines.

  • Review and provide input on high-impact learning solutions to ensure they are scalable, effective, and responsibly built.

  • Mentor instructional designers on prompt engineering, AI toolselection, responsible generation practices, and the evolving boundaries of human vs. AI authorship.

Execution and Delivery

  • Lead the shift from manual, course-based production to AI-assisted, modular, continuously evolving learning ecosystems within your program portfolio.

  • Use agentic tools to automate repeatable tasks: content audits, gap analysis, metadata tagging, assessment generation, and personalization logic.

  • Improve discoverability and learner experience through AI-powered content recommendations, adaptive learning paths, and conversational learning interfaces.

  • Partner with subject matter experts using AI-assisted interview and synthesis workflows to accelerate knowledge capture without sacrificing depth or accuracy.

  • Use learner behavior data,completionsignals, and AI-generated insights to continuously refine programs.

Stakeholder Partnership and Influence

  • Partner cross-functionally to align learning investment to business priorities, with a clear AI strategy narrative for senior audiences.

  • Provide well-reasoned recommendations on what gets built, how it is delivered, and where AI can close gaps faster than traditional development.

  • Serve as atrustedvoice on the responsible use of generative AI in learning, including what it can and cannot do well, and how to communicate that to stakeholders and learners.

  • Representthe Customer Education function as a driver of adoption, efficiency, and growth.

Qualifications and Experience

  • Deepexpertisein instructional design, adult learning theory, and assessment, applied at a program or portfolio level.

  • Demonstrated hands-on experience using generative AI tools (such as Claude, ChatGPT, Gemini, or similar) in real instructional design workflows, not just experimentation.

  • Experience designing or implementing agentic workflows that automate meaningful parts of the content development or learner support lifecycle.

  • Strong ability to connect learning programs to business outcomes and evaluate ROI with rigor.

  • Track recordof improving scalability, efficiency, or innovation in learning programs through systems thinking.

  • Excellent communication and stakeholder management skills, including the ability to present AI strategy and responsible use clearlytosenior leaders.

  • Proven ability to mentor instructional designers on both craft and emerging technology.

  • Strong program management skills: prioritization, risk management, and delivery in fast-moving environments.

  • Proficiencywith LMS platforms, modern authoring tools, and AI-powered content development platforms.

  • Comfortoperatingin ambiguity and evolving practice as the technology landscape shifts.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$92,000 and $138,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Adult Learning Theory, Content Development, Curriculum Development, Instructional Design, Learning Management, Learning Management Systems (LMS), Learning Theory, Performance Improvements, Program Management, Training Delivery