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Gpt Jobs (NOW HIRING)

benchmark

$15.25 - $19.75/hr

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MM International

Product manager - Remote

New York, NY · Remote

Product Manager AI driven Ability too build Copilot GPT gemini ml eXPERIENCE Quality Clients- Fortune 100, ecommerce or technology, AMAZON, Microsoft, Google, Meta, ORACLE- highly preferred • They ...

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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 Jul 14, 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:
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 July 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 58% Physical, 1% Hybrid, and 41% Remote job distribution, with an average salary of $142,635 per year, or $68.6 per hour.

Python AI/ML

Futran Tech Solutions Pvt. Ltd.

Plano, TX • On-site

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title : Python AI/ML Engineer
Location: - Onsite- Plano, TX
Experience: - 10+Years
Mandatory skills
• Gen AI, GPT, AWS, Python, Healthcare
Rate : $60/Hour on C2C
1st preference given to locals
Responsibilities: -
  • 7-10 years of overall software engineering experience Strong hands-on experience in Generative AI engineering Proven experience working with Anthropic Claude LLM Solid understanding of Agentic AI concepts (planning, reasoning, tool use, multi-agent systems).
  • Hands-on with Strands Agent Framework Experience with AWS Bedrock (model access, inference, orchestration) Strong containerization experience with Docker Deployment and operations on AWS ECS & EKS.
  • Proficiency in Python (primary) and experience with APIs/microservices Familiarity with GPT-based models (GPT 2.0 / GPT-style architectures) is a plus .
  • Experience with automation frameworks and CI/CD pipelines Working knowledge of cloud security and cost optimization for AI workloads.
  • Good to Have Experience with LLMOps / MLOps Knowledge of RAG pipelines, vector databases, and embeddings Exposure to data visualization libraries and analytical dashboards.
  • Experience in enterprise AI solutions or regulated environments Cloud certifications (AWS preferred) Desired Traits Strong problem-solving and system design skills .
  • Ability to work independently in an onsite delivery model Excellent communication and stakeholder collaboration skills Passion for emerging AI technologies and frameworks

Educational Qualifications: -
  • Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.

• Technical certification in multiple technologies is desirable.

Apply