AI Data Specialist Jobs in Connecticut
AI Data Specialist jobs in Connecticut concentrate in financial services, insurance, biopharma, and defense contracting, with the state holding one of the more active markets for this role in the Northeast. The heaviest hiring is in Hartford, Stamford, and New Haven, where anchor employers such as Cigna, Synchrony Financial, and Yale New Haven Health maintain large data and analytics teams. The most in-demand specialties are machine learning pipeline development, NLP annotation and evaluation, and AI model quality assurance. Scan the live roles below and apply to whichever ones fit.
Find AI Data Specialist JobsOverview
Showing 5 of 51+ AI Data Specialist jobs
This is a hands-on, applied technical role. The successful candidate will work primarily in Python within modern web frameworks (such as FastAPI), deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services), and use Git-based source control and pull-request workflows.
The role operates within an AI-assisted software development environment, in which modern coding assistants are used as a primary day-to-day tool for writing, reviewing, and debugging code. The analyst is expected to be effective in this style of AI-assisted software development — directing the tools, validating their output, and shipping reliable production code.
In addition to working on developing AI solutions for the Department of Banking, the candidate will work in close collaboration with the Connecticut AI Lab, a centralized team within DAS that supports the design, development, and deployment of AI-enabled tools across state agencies. The AI Lab provides architectural guidance, shared infrastructure, and engineering support for the applications this role helps maintain and extend.
EXAMPLES OF DUTIES
Maintains, enhances, and extends existing applications and supporting services.
Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems.
Prepares source code; debugs and corrects errors; maintains the integrity of software.
Configures, deploys, and monitors applications and supporting services in cloud environments.
Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports.
Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure.
Documents system processes, workflows, and technical procedures.
Participates in the evaluation of new and related technologies.
Performs related duties as required.
KNOWLEDGE, SKILL AND ABILITY
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance.
Apply
Upload
This is a hands-on, applied technical role. The successful candidate will work primarily in Python within modern web frameworks (such as FastAPI), deploy and maintain services on Microsoft Azure (App Service, Storage, Key Vault, and related services), and use Git-based source control and pull-request workflows.
The role operates within an AI-assisted software development environment, in which modern coding assistants are used as a primary day-to-day tool for writing, reviewing, and debugging code. The analyst is expected to be effective in this style of AI-assisted software development — directing the tools, validating their output, and shipping reliable production code.
In addition to working on developing AI solutions for the Department of Banking, the candidate will work in close collaboration with the Connecticut AI Lab, a centralized team within DAS that supports the design, development, and deployment of AI-enabled tools across state agencies. The AI Lab provides architectural guidance, shared infrastructure, and engineering support for the applications this role helps maintain and extend.
EXAMPLES OF DUTIES
Maintains, enhances, and extends existing applications and supporting services.
Analyzes requirements and participates in project planning sessions with customers, analysts, and team members to provide design recommendations for routine to moderately complex systems.
Prepares source code; debugs and corrects errors; maintains the integrity of software.
Configures, deploys, and monitors applications and supporting services in cloud environments.
Designs and develops routine to moderately complex applications, including data flows, screens, forms, and reports.
Provides technical consultation on routine to moderately complex issues regarding the usage of the infrastructure and integration of applications systems into the infrastructure.
Documents system processes, workflows, and technical procedures.
Participates in the evaluation of new and related technologies.
Performs related duties as required.
KNOWLEDGE, SKILL AND ABILITY
Knowledge of principles and techniques of systems analysis, design, development, and programming.
Knowledge of modern programming languages, with emphasis on Python and related web application frameworks.
Knowledge of cloud computing principles and services, with emphasis on Microsoft Azure.
Knowledge of source control practices, including Git and pull-request-based collaboration.
Knowledge of modern AI-assisted software development workflows and tools.
Ability to compare and select AI models (for example, A/B testing two models on a task)
Interpersonal, oral, and written communication skills.
Knowledge of secure development practices and appropriate handling of confidential or regulated data, including security considerations specific to AI applications.
Ability to take a user request from intake through deployment to production with appropriate guidance.
Apply
Upload
See All 51 AI Data Specialist Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find AI Data Specialist JobsAI Data Specialist Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
AI Data Specialist Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
- Travelers11
- CVS Health7
- The Hartford6
- World Wide Technology4
- Sectra3
Top Industries Hiring
- Insurance14
- Healthcare & Medical Services6
- Technology & Software5
- Accounting & Auditing1
- Staffing & Recruiting1
What Connecticut Employers Look For
The qualifications that appear most often in AI data specialist jobs across Connecticut.
- Bachelor's or master's degree in computer science, data science, or a related quantitative field
- Proficiency in Python or R for data wrangling, model evaluation, and pipeline automation
- Hands-on experience labeling, annotating, or auditing datasets used to train or fine-tune AI models
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong SQL skills for querying and validating large structured datasets across enterprise systems
- Experience working in regulated industries such as insurance, healthcare, or financial services preferred
AI Data Specialist Jobs in Connecticut: Frequently Asked Questions
How do you become a ai data specialist in Connecticut?
There is no state-issued license required to work as an ai data specialist in Connecticut. The standard path is a bachelor's degree in data science, computer science, statistics, or a related field, followed by hands-on project experience or internships. Connecticut employers, particularly in insurance and biopharma, respond well to candidates who hold vendor-neutral credentials such as the Google Professional Data Engineer or AWS Certified Machine Learning Specialty certificate alongside a strong portfolio demonstrating annotation, pipeline, or model evaluation work.
How much do AI data specialists make in Connecticut?
AI data specialists in Connecticut earn a median of about $126,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,700 for the lowest 10% to over $204,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data specialists in Connecticut?
Companies currently hiring ai data specialists in Connecticut include Travelers, CVS Health, and The Hartford, per current listings on Migrate Mate as of July 2026. Connecticut's concentration of insurance carriers, defense contractors, and academic medical centers means demand cuts across a wider range of industries than in many other Northeastern states.
Which Connecticut cities have the most ai data specialist jobs?
Hartford, Stamford, and Connecticut account for the most ai data specialist openings in Connecticut. Hartford leads because of the dense cluster of insurance and financial services headquarters based there, while Stamford draws roles tied to financial technology and corporate analytics, and New Haven benefits from the research and health system activity centered on Yale University and Yale New Haven Health.
Are there remote ai data specialist jobs in Connecticut?
Yes, and more than most fields, since ai data specialist work is primarily desk-based and output-driven. About 84% of ai data specialist openings tied to Connecticut are remote or hybrid as of July 2026, reflecting the digital nature of the work. Tasks such as dataset annotation, model evaluation, and pipeline monitoring are especially well-suited to fully remote arrangements, while roles requiring access to proprietary or regulated data environments tend to require at least part-time on-site presence.
How can I get hired as a ai data specialist in Connecticut with little or no experience?
The most realistic entry path is an associate or junior data analyst role at a Connecticut insurance carrier or healthcare system, where data quality and labeling work often sits alongside broader analytics duties. Large Connecticut employers such as Cigna and Hartford HealthCare occasionally run new-graduate rotational programs that include data and AI teams. Building a public portfolio of annotation projects, Kaggle competition results, or open-source model evaluation work gives candidates without professional experience a concrete way to demonstrate competency to Connecticut hiring managers.
Where can I find and apply to ai data specialist jobs in Connecticut?
You can find and apply to ai data specialist jobs in Connecticut on Migrate Mate, which lists current Connecticut openings updated in real time. Search the listings for roles that match your experience level and specialty, then apply directly to the ones that fit.
See All 51 AI Data Specialist Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find AI Data Specialist Jobs