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Gpt Jobs (NOW HIRING)

654Limo

Airline Shuttle Driver GPT

Gulfport, MS · On-site

We are looking forprofessional, friendly, and dependableShuttle Drivers to join our GPT airport location. If youre acustomer-focused driverwho valuessafety, punctuality, and exceptional service, we ...

Benchmark Electronics, Inc.

Server-GPT

Walpole, MA · On-site

$16 - $17.25/hr

Join, stay, and grow with Benchmark. Connect with your calling. We are looking for a Server to join our team! As part of the Benchmark dining team, your role will be to foster a clean and welcoming ...

benchmark

Join, stay, and grow with Benchmark. Connect with your calling. We are looking for a Server to join our team! As part of the Benchmark dining team, your role will be to foster a clean and welcoming ...

Benchmark Electronics, Inc.

Server-AL-GPT

Walpole, MA · On-site

$16 - $17.25/hr

Join, stay, and grow with Benchmark. Connect with your calling. We are looking for a Server to join our team! As part of the Benchmark dining team, your role will be to foster a clean and welcoming ...

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Gpt information

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$37.5K

$142.6K

$209K

How much do gpt jobs pay per year?

As of May 29, 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 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 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 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.

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.

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:
What job categories do people searching Gpt jobs look for? The top searched job categories for Gpt jobs are:
Gpt jobs near you
Infographic showing various Gpt job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, and 4% Contract. Highlights an 56% Physical, 4% Hybrid, and 40% Remote job distribution, with an average salary of $142,635 per year, or $68.6 per hour.
Python NLP Developer (LLM & GPT APIs) - Q125

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 23 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python NLP Developer (LLM & GPT APIs)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a specialized Python NLP Developer to build natural language processing solutions using LLMs and GPT APIs. This role focuses on leveraging Python with Hugging Face or OpenAI APIs for advanced NLP applications.
Key Responsibilities
  • Develop NLP solutions using Python with LLMs and GPT APIs for text processing and generation.
  • Integrate transformer models from Hugging Face or OpenAI API into production applications.
  • Design and optimize NLP pipelines for tasks like sentiment analysis, text summarization, or chatbots.
  • Collaborate with data teams to preprocess and refine datasets for NLP model training.
  • Ensure performance and scalability of NLP applications in real-world use cases.
  • Monitor and improve NLP model accuracy and responsiveness over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Python developer with a focus on NLP and transformer models.
  • Proficiency in using LLMs and GPT APIs (e.g., Hugging Face, OpenAI) for NLP tasks.
  • Experience building and deploying NLP pipelines with Python in production environments.
  • Strong understanding of natural language processing techniques and model integration.

Preferred Qualifications
  • Familiarity with advanced NLP frameworks like SpaCy or NLTK for preprocessing tasks.
  • Exposure to cloud platforms like AWS or GCP for hosting NLP applications.
  • Knowledge of fine-tuning transformer models for domain-specific NLP use cases.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, NLP, Natural Language Processing, GPT, LLM, Transformer Models, Hugging Face, OpenAI API

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