1

Gpt Jobs (NOW HIRING)

Inventory Control

Paris, IL · On-site

$15.90 - $28.94/hr

Implement all aspects of GPT's Lean and Quality Management systems. * Other responsibilities as assigned. Your Experience and Qualifications * High school diploma or GED required. * 3 years of ...

Guidewire (PolicyCenter, BillingCenter, ClaimCenter) (preferred) Python, REST APIs, GitHub, Working with LLMs (GPT, Claude), Prompt engineering, RAG (Retrieval-Augmented Generation), AWS. Data ...

Responsibilities : • Define an enterprise ready GenAI framework for development and testing. • Design and build GenAI solutions using enterprise LLM platforms (GPT, Claude) with focus on cost ...

Design and optimize generative AI solutions using GPT 4, Claude, Gemini, and Azure OpenAI, including prompt engineering, fine-tuning, and retrieval augmented generation (RAG). * Implement agentic LLM ...

Pay Range: $55/hr - $60/hr Requirement/Must Have: * 1+ years of hands-on experience with LLMs (GPT, Claude, or similar). * Strong understanding of prompt design patterns and chain-of-thought ...

next page

Showing results 1-20

Gpt information

See salary details

$37.5K

$142.6K

$209K

How much do gpt jobs pay per year?

As of Jun 20, 2026, the average yearly pay for gpt in the United States is $142,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $189,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working as GPT (Generative Pre-trained Transformer) engineers, and how can they overcome them?

GPT engineers often encounter challenges such as fine-tuning models for specific tasks, managing large-scale datasets, and optimizing computational resources. They may also need to address ethical concerns and mitigate biases in generated outputs. To overcome these obstacles, engineers typically collaborate closely with data scientists, ethicists, and DevOps teams, and stay updated with the latest research and best practices in the field. Continuous learning and leveraging open-source tools can also help tackle evolving technical and ethical challenges.

What is a Gpt job?

A GPT job typically refers to a role related to Generative Pre-trained Transformers (GPT), which are AI models designed for natural language processing tasks. These jobs can involve developing, fine-tuning, or applying GPT models in areas like content generation, customer support automation, and AI research. Positions may include machine learning engineers, NLP researchers, or prompt engineers, depending on the specific application of GPT technology.

What are the key skills and qualifications needed to thrive as a GPT (Generative Pre-trained Transformer) engineer, and why are they important?

To thrive as a GPT engineer, you need a strong background in machine learning, natural language processing, and programming languages such as Python, typically supported by a degree in computer science or a related field. Proficiency with deep learning frameworks (like TensorFlow or PyTorch), cloud platforms (such as AWS or Google Cloud), and experience with large language models are crucial. Strong analytical thinking, creativity, and collaborative communication are soft skills that set top performers apart in this field. These skills and qualities are vital to effectively develop, fine-tune, and deploy advanced AI language models that meet real-world applications and ethical standards.

What is the difference between Gpt vs Chatbot Developer?

AspectGptChatbot Developer
Required CredentialsKnowledge of AI, NLP, programming skillsProgramming, AI, UI/UX design
Work EnvironmentAI research labs, tech companiesSoftware companies, customer service teams
Industry UsageAI language models, automationCustomer support, interactive bots
Common Search IntentUnderstanding AI models like GptBuilding or improving chatbots

Gpt refers to advanced AI language models like OpenAI's GPT, focusing on natural language understanding and generation. Chatbot Developers design and implement chatbots, often utilizing models like Gpt. While Gpt is a technology, Chatbot Developers apply such technologies to create interactive applications. Both roles overlap in AI and programming skills but differ in focus: Gpt is a model, whereas Chatbot Developers build user-facing solutions.

What are GPTs?

GPTs, or Generative Pre-trained Transformers, are advanced artificial intelligence models developed to understand and generate human-like text based on input prompts. They are trained on vast amounts of text data and can perform a wide range of language-related tasks, such as answering questions, composing emails, writing articles, and more. GPTs are widely used in chatbots, content generation, and language translation applications, making them valuable tools in both business and personal settings.
More about Gpt jobs
What cities are hiring for Gpt jobs? Cities with the most Gpt job openings:
What states have the most Gpt jobs? States with the most job openings for Gpt jobs include:
Infographic showing various Gpt job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 45% Physical, 3% Hybrid, and 52% Remote job distribution, with an average salary of $142,635 per year, or $68.6 per hour.

Human Interaction Design Consultant (UI/UX - Data & AI Applications)

Princeton IT Services

Princeton, NJ

Other

Posted 7 days ago


Job description

Job Title: Human Interaction Design Consultant (UI/UX - Data & AI Applications)

Location : Princeton, NJ

Job Type: Onsite
Overview
We are seeking a highly passionate and skilled Human Interaction Design Consultant specializing in User Experience (UX), User Research, and User Interface (UI) Design. This role focuses on crafting intuitive, intelligent, and engaging interfaces for data-driven applications and GPT-style conversational systems.
You will play a critical role in shaping how users interact with complex data and AI-powered products, ensuring seamless, human-centric experiences that drive adoption and impact.
Key Responsibilities

  • User Experience Design
  • Design end-to-end user experiences for web and mobile applications, with a strong focus on data-rich and AI-driven products
  • Develop user flows, wireframes, prototypes, and high-fidelity UI designs
  • Translate complex data systems into intuitive and usable interfaces
  • User Research & Insights
  • Conduct user research, usability testing, and stakeholder interviews
  • Develop personas, journey maps, and insights-driven design strategies
  • Leverage both qualitative and quantitative data to inform design decisions
  • UI & Interaction Design
  • Create visually compelling and consistent UI designs aligned with modern design systems
  • Design conversational interfaces and interaction patterns for GPT-style systems (chatbots, AI assistants, copilots)
  • Ensure accessibility, usability, and responsiveness across devices
  • Data-Driven Design
  • Work closely with product, data, and engineering teams to design dashboards, analytics interfaces, and AI workflows
  • Apply strong information architecture principles for complex datasets
  • Use metrics, A/B testing, and feedback loops to continuously improve UX
  • Collaboration & Strategy
  • Collaborate cross-functionally with product managers, engineers, and business stakeholders
  • Advocate for user-centered design and best practices across the organization
  • Contribute to design strategy and innovation, especially in AI and conversational UX

Required Qualifications

  • Minimum 2+ years of professional experience in UI/UX design, interaction design, or related roles
  • Proven track record of delivering successful user-centric designs (portfolio required)
  • Strong educational background in Human-Computer Interaction (HCI), Interaction Design, UX Design, Cognitive Science, or related field
  • Proficiency with design and prototyping tools such as Figma, Sketch, Adobe XD, or similar
  • Experience designing for data-driven applications, dashboards, or analytics platforms
  • Strong understanding of user research methodologies and usability principles

Preferred / Plus Skills

  • Experience designing GPT-style conversational interfaces or AI-powered products
  • Familiarity with designing for machine learning/AI workflows
  • Knowledge of design systems and scalable UI frameworks
  • Experience with front-end technologies (HTML, CSS, JavaScript) is a plus
  • Understanding of accessibility standards (WCAG)

Key Traits

  • Deep passion for UI/UX and human-centered design
  • Curiosity and enthusiasm for AI, data, and emerging interaction paradigms
  • Ability to simplify complex problems into elegant solutions
  • Strong storytelling and communication skills
  • Detail-oriented with a strong aesthetic sense

Why Join Us

  • Opportunity to work on cutting-edge AI and GPT-style products
  • Collaborative and innovation-driven environment
  • Freedom to influence product design and user experience strategy
  • Work on meaningful, data-driven applications with real-world impact