$115K - $138K/yr
100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Experience with Microsoft Copilot Studio, Azure OpenAI, OpenAI GPTs, Power Apps, Power Automate ...
$115K - $138K/yr
100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Experience with Microsoft Copilot Studio, Azure OpenAI, OpenAI GPTs, Power Apps, Power Automate ...
AI Solutions Associate
Farmington, CT · On-site +1
$60K - $75K/yr
Medical
Dental
Vision
Retirement
PTO
Practical experience with one or more AI development environments or coding agents such as OpenAI ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT
AI Solutions Associate
Farmington, CT · On-site +1
$60K - $75K/yr
Medical
Dental
Vision
Retirement
PTO
Practical experience with one or more AI development environments or coding agents such as OpenAI ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT
Openai Remote information
What is the difference between Openai Remote vs Data Scientist?
| Aspect | Openai Remote | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires knowledge of AI, machine learning, programming (Python), and sometimes a relevant degree | Requires a degree in statistics, computer science, or related fields; proficiency in data analysis tools |
| Work Environment | Remote, collaborative online platforms, flexible hours | Often remote or in-office, collaborative teams, project-based work |
| Industry Usage | AI research, tech companies, startups | Tech, finance, healthcare, consulting |
| Common Search & Comparison | Yes | Yes |
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 Connecticut?
The most popular types of Openai jobs in Connecticut are:
What are popular job titles related to Openai Remote jobs in Connecticut?
For Openai Remote jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Openai Remote jobs in Connecticut look for?
The top searched job categories for Openai Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Openai Remote jobs?
Cities in Connecticut with the most Openai Remote job openings:
Job description
100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT *** *** harnesses the best of biology and technology to fight the world's toughest diseases and make people's lives easier, fuller, and longer. We Client, develop, manufacture, and deliver innovative medicines to help millions of patients. *** helped establish the biotechnology industry more than 40 years ago and remains on the cutting edge of innovation, using technology and human genetic data to push beyond what is known today. ABOUT THE ROLE Role Description The AI & Digital Automation Solutions Developer will support ***'s Global Distribution organization by designing, developing, testing, and implementing practical AI, GenAI, custom GPT, automation, and data-enabled solutions that improve business processes, operational efficiency, decision-making, and data standardization. This is a hands-on technical role with strong business partnership responsibilities. The candidate will work directly with Global Distribution business stakeholders to understand operational challenges, identify opportunities for digital automation, and build scalable AI and digital solutions using tools such as custom GPTs, AI assistants, workflow automation platforms, low-code / no-code tools, scripts, APIs, data workflows, and reporting or analytics solutions. The ideal candidate is a business-facing technical developer who can move from problem discovery to solution design, prototyping, development, testing, deployment support, and adoption. This is not a pure data scientist role and not only a strategy role. The person should be able to build solutions, write or adapt code when needed, configure AI tools, develop automation workflows, support data standardization, and partner with technical teams to ensure solutions are secure, scalable, compliant, and sustainable.BASIC QUALIFICATIONS AND EXPERIENCE Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field OR Bachelor's degree and 5 to 7 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation, Automation, or a related field OR Diploma and 9 to 11 years of relevant experience in Digital Solutions, Automation, Data Analytics, Software Development, Supply Chain Systems, or a related field. FUNCTIONAL SKILLS Must-Have Skills Hands-on experience developing AI, GenAI, automation, analytics, or digital workflow solutions. Ability to build or configure custom GPTs, AI assistants, chatbots, prompt-based workflows, or similar GenAI-enabled solutions. Experience writing or adapting code, scripts, workflows, or automation logic to solve business problems. Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar development / automation tools. Experience with Microsoft Copilot Studio, Azure OpenAI, OpenAI GPTs, Power Apps, Power Automate, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, Confluence, or similar tools. Experience with retrieval-augmented generation, embeddings, semantic search, vector databases, document intelligence, or knowledge management solutions. Strong understanding of prompt engineering, AI solution design, workflow automation, data transformation, and user-centered solution development. Ability to translate business requirements into technical designs, prototypes, MVPs, and production-ready or scalable solutions. Experience working with structured and unstructured data, including data extraction, cleansing, mapping, validation, and transformation. Strong business analysis skills, including requirements gathering, process mapping, documentation, and stakeholder engagement. Ability to partner with business users and technical teams to design solutions that are practical, compliant, scalable, and easy to adopt. Experience testing, validating, troubleshooting, and enhancing digital or AI-enabled solutions. Strong documentation skills for technical designs, business rules, workflows, prompts, data logic, and support procedures. Strong communication skills with the ability to explain technical solutions to business users and business needs to technical teams. Good-to-Have Skills Experience in global supply chain, distribution, logistics, manufacturing, biotech, pharmaceutical, or regulated industry environments. Familiarity with software development practices, version control, GitHub, APIs, testing frameworks, CI/CD, or MLOps concepts. Experience developing automation for reporting, data reconciliation, exception management, workflow routing, document processing, or operational dashboards. Understanding of data governance, master data management, metadata, data stewardship, data lineage, and data quality frameworks. Familiarity with supply chain processes such as order management, inventory visibility, warehouse operations, transportation, cold chain, serialization, trade compliance, or distribution planning. Experience with Agile, SAFe, product ownership, or digital product delivery models. Understanding of responsible AI, data privacy, cybersecurity, and compliance considerations for enterprise AI solutions. PROFESSIONAL CERTIFICATIONS Preferred but not required: AI, GenAI, or Prompt Engineering Certification Microsoft Power Platform Certification Azure AI / Azure OpenAI Certification Data Analytics Certification Automation or RPA Certification Agile / SAFe Certification Supply Chain Certification, such as APICS, CSCP, or CPIM Business Analysis Certification Cloud, Databricks, or Data Engineering Certification SOFT SKILLS Hands-on builder mindset with the ability to move quickly from idea to prototype to implementation. Strong problem-solving skills and comfort working with ambiguity. Ability to understand business pain points and design practical technical solutions. Strong collaboration skills across business, technology, data, and compliance teams. Ability to influence without authority and guide stakeholders toward scalable solutions. Strong communication and presentation skills for both technical and non-technical audiences. Strong attention to detail when working with data, automation logic, prompts, business rules, and documentation. Outcome-oriented mindset with focus on measurable business value, usability, and adoption. Ability to manage multiple priorities and deliver in a global, matrixed environment. EQUAL OPPORTUNITY STATEMENT *** is an Equal Opportunity employer and will consider applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Salary: . Date posted: 07/24/2026