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Generative Ai Researcher Jobs in Raleigh, NC (NOW HIRING)

Lawyer / Attorney - Freelance

Raleigh, NC ยท Remote

$100 - $120/hr

Uber AI Solutions is Uber's marketplace connecting skilled freelancers with Generative AI researchers and product teams working on cutting-edge AI systems. We partner with independent contractors to ...

Legal Counsel - Freelance

Raleigh, NC ยท Remote

$100 - $120/hr

Uber AI Solutions is Uber's marketplace connecting skilled freelancers with Generative AI researchers and product teams working on cutting-edge AI systems. We partner with independent contractors to ...

Translate research and prototypes into production-ready capabilities. * Collaborate across teams to ... Proven ability to design and scale large-language-model (LLM) and generative AI systems.

Senior AI Scientist

Durham, NC ยท Remote

$88K - $120K/yr

... Generative AI systems, with a primary focus on Large Language Models (LLMs) and agentic AI ... The position operates within regulated environments such as life sciences, clinical research, and ...

Senior AI Scientist

Durham, NC ยท Remote

$88K - $120K/yr

... Generative AI systems, with a primary focus on Large Language Models (LLMs) and agentic AI ... The position operates within regulated environments such as life sciences, clinical research, and ...

Senior AI Scientist

Durham, NC ยท On-site

$88K - $120K/yr

... Generative AI systems, with a primary focus on Large Language Models (LLMs) and agentic AI ... The position operates within regulated environments such as life sciences, clinical research, and ...

AI Adoption Specialist

Raleigh, NC

$36K - $41K/yr

... Researcher, Analyst) and enabling simple workflow automations or lightweight agent use cases ... Stay current on emerging generative AI tools, enterprise adoption patterns, and best practices.

AI Adoption Specialist

Raleigh, NC

$36K - $41K/yr

... Researcher, Analyst) and enabling simple workflow automations or lightweight agent use cases ... Stay current on emerging generative AI tools, enterprise adoption patterns, and best practices.

Experience developing generative AI, agentic AI, and/or LLM-based systems * Ability and desire to ... Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and ...

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Generative Ai Researcher information

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$109.9K

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How much do generative ai researcher jobs pay per year?

As of Jun 10, 2026, the average yearly pay for generative ai researcher in Raleigh, NC is $109,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $149,700.00 per year, depending on experience, location, and employer.

What are some common challenges Generative AI Researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What does a Generative AI Researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are the key skills and qualifications needed to thrive as a Generative AI Researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.
What job categories do people searching Generative Ai Researcher jobs in Raleigh, NC look for? The top searched job categories for Generative Ai Researcher jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Generative Ai Researcher jobs? Cities near Raleigh, NC with the most Generative Ai Researcher job openings:
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Raleigh, NC โ€ข Remote

Other

Posted 19 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.