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Openai Remote Jobs in Kansas (NOW HIRING)

$61K - $79K/yr

StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the ... as OpenAI, Anthropic * Experience with CI/CD tools like Jenkins, Github Actions, or CircleCI

Openai Remote information

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 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 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 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 are the most commonly searched types of Openai jobs in Kansas?

The most popular types of Openai jobs in Kansas are:

What cities in Kansas are hiring for Openai Remote jobs?

Cities in Kansas with the most Openai Remote job openings:

Infographic showing various Openai Remote job openings in Kansas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 1% Temporary, and 5% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution.

$61K - $79K/yr

Full-time

Re-posted 5 days ago


Job description

StackAdapt is seeking a talented Staff Quality Engineer to join the Automation and Intelligence Pillar pod, the group building StackAdapt's AI and agentic products. As the most senior quality engineer on the team, you will set the technical direction for how we test, evaluate, and ship intelligent systems, working across LLM-powered features, agentic workflows, and the data and tooling that support them. This is a hands-on, individual-contributor leadership role: you will lead the effort to design quality strategy for non-deterministic AI systems, build the frameworks and harnesses that make those systems testable, and raise the quality bar across a fast-moving, cross-functional agile environment. Your work will directly affect the success of product releases, accelerate our defect detection and prevention capabilities, and help define what quality means for AI at StackAdapt.

Learn more about our engineering culture here: https://www.youtube.com/watch?v=LXM2NrkhKZc

StackAdapt is a remote-first company; we are open to candidates located anywhere in Canada and the United States for this position.

What You'll Be Doing:
  • Own and drive the end-to-end quality strategy for the Automation and Intelligence Pillar pod's AI such as our Ivy product, from test architecture through release readiness
  • Design and build evaluation frameworks for non-deterministic systems, including LLM output quality, agent behaviour, regression detection, and guardrail/safety testing
  • Develop reliable, scalable automated test suites and tooling that address functional, system, API, integration, UI, and regression testing, and integrate them into our CI/CD pipeline
  • Establish quality metrics and benchmarks (accuracy, latency, cost, hallucination/failure rates) that give the team confidence to ship and inform data-driven decisions
  • Partner closely with Engineering Managers, Product Managers, Designers, ML/Data Science, and other engineering teams to align requirements, priorities, and definitions of done
  • Act as a technical mentor and force multiplier across the QE org, promoting QE best practices, driving process improvements, and levelling up testing for AI systems company-wide
  • Participate in technical planning, code review, and architectural decision-making, advocating for testability and reliability from the design stage
  • Provide timely, actionable test result feedback to the Automation and Intelligence Pillar pod, the QA team, and other relevant stakeholders
What You'll Bring to the Table:
  • 7+ years of professional, hands-on software quality and test automation experience, with a track record of setting technical direction on complex systems
  • Deep, hands-on experience with API & UI test automation frameworks such as Playwright, Cypress, Jest, or Junit
  • Fluency in at least one of TypeScript, JavaScript, Python, or Java with preference for TypeScript
  • Experience testing AI/agentic systems (evals, prompt/regression testing, output validation) and using AI to scale automation (test generation, self-healing tests, failure triage) with technologies such as OpenAI, Anthropic
  • Experience with CI/CD tools like Jenkins, Github Actions, or CircleCI
  • Strong understanding of scalable system design for web-based APIs and backend processing systems
  • In-depth understanding of QA methodologies in a software company with fast release cycles
  • Proven ability to define test case design standards and coverage strategy such as edge/negative, compatibility, performance and concurrency scenarios  and to own a test case management practice (e.g. TestRail) that others build on
  • Knowledge of React, including but not limited to adding data-testids
  • Ability to explore a codebase and use technical tools to gain an understanding of technical implementation
  • Experience coaching and influencing cross-functional teams on tooling, testing plans and strategies, and guiding them through execution