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Remote Prompt Engineering Jobs in Connecticut (NOW HIRING)

$115K - $138K/yr

100% Remote Please source at open market rate This is a job template for special exceptions. ABOUT ... Strong understanding of prompt engineering, AI solution design, workflow automation, data ...

AVP, AI (Data Science/Engineer) Remote - EST

Hartford, CT · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... prompt engineering, and responsible AI practices. Establish standards for AI evaluation, monitoring ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AVP, AI (Data Science/Engineer) Remote - EST

Hartford, CT · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... prompt engineering, and responsible AI practices. Establish standards for AI evaluation, monitoring ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AI Solutions Associate

Farmington, CT · On-site +1

$60K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Preferred: exposure to cloud platforms, APIs, LLM integrations, prompt engineering, RAG workflows ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT

Remote Prompt Engineering information

See Connecticut salary details

$16

$31

$45

How much do remote prompt engineering jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote prompt engineering in Connecticut is $31.45, according to ZipRecruiter salary data. Most workers in this role earn between $25.14 and $36.35 per hour, depending on experience, location, and employer.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.

What are the most commonly searched types of Prompt Engineering jobs in Connecticut?

The most popular types of Prompt Engineering jobs in Connecticut are:

What are popular job titles related to Remote Prompt Engineering jobs in Connecticut?

For Remote Prompt Engineering jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Prompt Engineering jobs in Connecticut look for?

The top searched job categories for Remote Prompt Engineering jobs in Connecticut are:

Infographic showing various Remote Prompt Engineering job openings in Connecticut as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $65,411 per year, or $31.4 per hour.

Mgr Data Engineering

Aequor

On-site, Remote

$115K - $138K/yr

Full-time

Posted 21 days ago


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