2

Openai Remote Jobs in Austin, TX (NOW HIRING)

MCP App and ChatGPT App Developer

Austin, TX ยท On-site +1

  • Retirement

  • PTO

This is a remote or in-person role (Austin, TX). You'll be responsible for creating production ... Experience integrating and working with LLM APIs (OpenAI, Anthropic, etc.) * Working knowledge of ...

This is a remote or in-person role (Austin, TX). You'll be responsible for creating production ... Experience integrating and working with LLM APIs (OpenAI, Anthropic, etc.) * Working knowledge of ...

Cybersecurity Engineer

Austin, TX ยท Remote

$123K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A remote position does not require job duties be performed within proximity of a Visa office ... Anthropic Claude OpenAI (ChatGPT, GPT APIs, enterprise offerings) Comparable LLM providers and ...

Prompt Engineer

Austin, TX ยท On-site +1

... remote flexibility. Key Responsibilities Conversational Design and Prompting * Design multi turn ... Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and conversational frameworks (e.g., LangChain)

next page

Showing results 1-20

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 Austin, TX?

The most popular types of Openai jobs in Austin, TX are:

What cities near Austin, TX are hiring for Openai Remote jobs?

Cities near Austin, TX with the most Openai Remote job openings:

Infographic showing various Openai Remote job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution.

AI Automation Engineer

DigaCore Technology Consulting

Austin, TX โ€ข Remote

Other

Posted 19 days ago


Job description

AI Automation Engineer

About Digacore

At Digacore, we help businesses operate smarter through technology, automation, and exceptional support. We’re a fast-paced, people-first MSP that blends IT, development, automation, and client experience into one collaborative environment — with real career growth, autonomy to own your work, and leadership that values innovation and practical solutions over bureaucracy.

We’re looking for a hands-on AI Automation Engineer — a strong programmer with 5–7 years of software development experience who is AI-native and energized by building real workflows that save time and money. This is a mid-level to senior individual-contributor build role, not a consulting or architecture role: you design and ship AI-augmented automations end to end, writing the code, wiring the integrations, and standing up the workflows yourself using tools like Claude, n8n, and Power Automate. You’ll work shoulder-to-shoulder with internal teams and clients to turn manual, high-friction processes into reliable automations — and tag a measurable ROI to everything you build.


What You’ll Do

  • Design, build, and ship AI-augmented workflows and automations end to end — you write the code and own the delivery
  • Build with Claude (Code, Skills, Agent SDK), n8n (AI nodes/agents), and Power Automate — leaning on Claude as your pair-programmer
  • Write and maintain the scripts, API calls, and integrations that glue Claude, Microsoft 365, SharePoint, internal tools, and third-party systems together (REST, JSON, webhooks)
  • Create reusable Claude Skills, Agents, and Cowork plugins tailored to specific departments and use cases
  • Tag a measurable metric to every workflow you build — estimated hours saved, manual steps reduced, runs executed, user adoption — and do the math to show impact
  • Prototype quickly, gather user feedback, and iterate to production — ship working automations, not slide decks
  • Debug, test, and harden your own builds; write clear documentation so other team members and clients can use, support, and extend them
  • Partner with senior developers to take prototypes to production-ready workflows, and translate business problems into scoped solutions and well-written tickets
  • Communicate clearly and professionally with stakeholders and end users during discovery, demos, and rollout


What You Bring

Required Skills & Experience

  • 5–7 years of professional software development / programming experience, including 2+ years building automation or AI/LLM-powered features — a confident, hands-on coder who ships production-quality work (mid-level to senior individual contributor)
  • Strong programming skills in at least one modern language (e.g., Python, JavaScript/TypeScript, or C#) and comfort working across the stack
  • Hands-on experience building automations and integrations end to end — whether low-code (n8n, Power Automate, Zapier/Make) or code-first
  • Hands-on experience building with LLM APIs (Claude, OpenAI, or similar), including prompt engineering
  • Solid API and integration experience — REST, JSON, webhooks — and the ability to script systems together
  • An ROI mindset — you instinctively ask “how much time does this save?” and can tag a metric to the work
  • Strong troubleshooting and research instincts, and the ability to pick up new tools, models, and APIs quickly
  • Excellent written and verbal communication; comfortable working directly with end users and presenting your work
  • Authorized to work in the US and able to work a hybrid schedule out of our Lakewood, NJ office (remote considered for the right person)
  • Willingness to ramp on our MSP and client context


Preferred Skills & Experience

  • Hands-on experience with n8n (ideally with AI nodes/agents) or Power Automate (ideally with Copilot)
  • Direct experience using Claude (Claude.ai or Claude Code) as a build and pair-programming tool
  • MSP or other multi-client / service-business experience
  • Experience with additional LLM platforms and APIs (OpenAI, Azure OpenAI) and prompt engineering best practices
  • Familiarity with Microsoft 365, SharePoint, and the Power Platform
  • Experience working with databases such as Supabase, Postgres, or SQL Server
  • Familiarity with Node.js, React, or other modern frameworks
  • Experience supporting operational workflows or internal business systems


The Right Mindset

We care just as much about mindset as technical ability. The ideal person for this role:

  • Is genuinely excited about AI and treats new models, tools, and patterns as opportunities, not threats
  • Loves building and shipping — happiest when something they built is working in production
  • Thinks in terms of outcomes and ROI, not just tickets closed
  • Can stay calm and professional when clients are stressed or systems are misbehaving
  • Has a “white glove” approach to customer service
  • Balances speed with care — ships quickly, but tests and documents what they build
  • Wants to grow into a senior AI automation / agent engineering role over time


How You’ll Be Measured

  • Number and quality of AI/automation workflows shipped per quarter
  • Documented hours and dollars saved across the workflows you build
  • Reliability and maintainability of the automations you put into production
  • End-user adoption and satisfaction with what you deliver
  • Growth in your technical depth across Claude, n8n, and the broader AI toolchain


Growth Path

This role starts as a hands-on individual contributor with a clear runway. As you grow, there’s a path into a senior AI automation / agent engineering role, or toward technical leadership within the Development & Automation (D&A) team.


Compensation & Location

  • Compensation: $120,000–$150,000, DOE
  • Location: New Jersey (Lakewood) hybrid preferred; remote considered for the right person