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Openai Remote Jobs in Utah (NOW HIRING)

NextDeavor Inc.

Technical Account Manager

Lehi, UT · On-site +1

$93K - $162K/hr

This role operates as a Hybrid position (customer meetings may be on-site or remote) with ... Experience with AI products and large-language-model tooling (e.g., Copilot, Claude, OpenAI)

Bread Financial

Senior Staff Agentic AI Engineer

Draper, UT · On-site +1

$99K - $134K/yr

OpenAI * Grafana * Graph Databases * Large Language Models (LLMs) * PostgreSQL * Prometheus ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

WEX

Senior Backend Engineer - AI Platform

Salt Lake City, UT · On-site +1

$118K - $156K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Build and optimize LLM-powered services (e.g., OpenAI APIs, LangChain) for production-grade ...

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Openai Remote information

What is the difference between Openai Remote vs Data Scientist?

AspectOpenai RemoteData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degreeRequires a degree in statistics, computer science, or related fields; proficiency in data analysis tools
Work EnvironmentRemote, collaborative online platforms, flexible hoursOften remote or in-office, collaborative teams, project-based work
Industry UsageAI research, tech companies, startupsTech, finance, healthcare, consulting
Common Search & ComparisonYesYes

Openai Remote roles focus on AI and machine learning tasks, often requiring programming skills and familiarity with AI tools. Data Scientists analyze data to inform business decisions, requiring statistical and analytical expertise. While both roles may be remote and involve data or AI, Openai Remote positions are more specialized in AI development, whereas Data Scientists focus on data analysis across various industries.

Does ChatGPT have remote jobs?

OpenAI offers remote job opportunities, including roles related to ChatGPT development, research, and support. These positions often require skills in AI, machine learning, or software engineering and are typically available to applicants worldwide, depending on the role and location requirements.

What challenges do OpenAI Remote employees face, and how does the company support remote collaboration?

Remote employees at OpenAI often face challenges such as maintaining clear communication across time zones, building strong connections with colleagues, and staying engaged with fast-paced project updates. To address these, OpenAI utilizes a range of collaboration tools, holds regular virtual meetings, and fosters a culture of transparency and support. The company also encourages asynchronous communication and provides resources to help remote team members feel included and aligned with organizational goals.

What skills and qualifications are needed to thrive as an OpenAI Remote employee?

To thrive as an OpenAI Remote employee, you generally need strong expertise in artificial intelligence, machine learning, or software engineering, often supported by an advanced degree or significant industry experience. Familiarity with tools such as Python, PyTorch or TensorFlow, as well as version control systems like Git, is typically required. Exceptional communication, self-motivation, and the ability to collaborate effectively across time zones are crucial soft skills in a remote environment. These competencies ensure high productivity, seamless teamwork, and the ability to drive innovation in a distributed, fast-evolving field.

What is an OpenAI Remote?

OpenAI remote jobs are positions offered by OpenAI that allow employees to work from locations outside of a traditional office setting. These roles can span a variety of fields such as research, engineering, operations, and more, enabling team members to collaborate virtually from anywhere in the world. OpenAI supports a flexible work environment and seeks to attract talent globally by offering remote opportunities. Applicants are still expected to meet certain criteria, such as time zone compatibility and strong communication skills. Remote employees typically interact with their teams through digital tools and regular virtual meetings.
What are the most commonly searched types of Openai jobs in Utah? The most popular types of Openai jobs in Utah are:
What are popular job titles related to Openai Remote jobs in Utah? For Openai Remote jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Openai Remote jobs in Utah look for? The top searched job categories for Openai Remote jobs in Utah are:
What cities in Utah are hiring for Openai Remote jobs? Cities in Utah with the most Openai Remote job openings:
Openai Remote jobs near you
Infographic showing various Openai Remote job openings in Utah as of July 2026, with employment types broken down into 2% Locum Tenens, 6% As Needed, 85% Full Time, 1% Part Time, 2% Contract, and 4% Nights. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Salt Lake City, UT • Remote

Full-time

Re-posted 14 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

​

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:

  • Bachelor’s or Master’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.

Apply