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Javascript Developer For Training Ai Data Jobs in Connecticut

... for solving business problems. You'll leverage your Mainframe and Data modernization, AI ... Our policy is to provide employment, training, compensation, promotion, and other conditions or ...

New

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

Recruiting for this role ends on 07/31/2026. Work you'll do As a Databricks Engineer III on the AI ... and training; licensure and certifications; and other business and organizational needs. The ...

... for solving business problems. You'll leverage your Mainframe and Data modernization, AI ... Our policy is to provide employment, training, compensation, promotion, and other conditions or ...

New

What's In It For You? This is a great opportunity to work on meaningful projects involving ... programming language like Python or JavaScript. • A prior internship or project in AI, data, or ...

What's In It For You? This is a great opportunity to work on meaningful projects involving ... programming language like Python or JavaScript. · A prior internship or project in AI, data, or ...

AI Solutions Architect - Life Sciences

Stamford, CT · Hybrid

$67.25 - $88.50/hr

Recruiting for this role ends on 07/20/2026. Work You'll Do As a Lead AI and Data Science Engineer ... and training; licensure and certifications; and other business and organizational needs. The ...

AI Solutions Architect - Healthcare

Stamford, CT · On-site

$67.25 - $88.50/hr

... data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for ... and training; licensure and certifications; and other business and organizational needs. The ...

JavaScript Tutor

New Haven, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... while preparing students for web development careers and full-stack engineering coursework.

JavaScript Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... while preparing students for web development careers and full-stack engineering coursework.

Data Engineer

Hartford, CT

$115K - $138K/yr

... for the Customer Operations Data Science team. The Hartford is developing industry-leading AI and ... The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

JavaScript Tutor

Norwalk, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... while preparing students for web development careers and full-stack engineering coursework.

JavaScript Tutor

Stamford, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... while preparing students for web development careers and full-stack engineering coursework.

JavaScript Tutor

Hartford, CT · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... while preparing students for web development careers and full-stack engineering coursework.

... Data Science, or a related technical field. * Strong programming skills in Python, JavaScript ... Best practices for writing production-quality code for AI applications. * How to test and improve ...

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Showing results 1-20

Javascript Developer For Training Ai Data information

What is the difference between Javascript Developer For Training Ai Data vs Javascript Developer?

AspectJavascript Developer For Training Ai DataJavascript Developer
Required SkillsJavaScript, AI/ML concepts, data annotation, training modelsJavaScript, front-end/back-end development, frameworks like React or Node.js
Work EnvironmentAI training labs, data annotation teams, machine learning projectsWeb development, application development, client/server environments
Industry UsageAI/ML companies, data training firms, research labsTech companies, startups, software agencies

Javascript Developer For Training Ai Data focuses on preparing data and training AI models using JavaScript, often involving data annotation and machine learning concepts. In contrast, a Javascript Developer primarily develops web applications and interfaces. While both roles require JavaScript skills, the former emphasizes AI training and data handling, whereas the latter centers on application development.

What are some common challenges faced by JavaScript Developers working on AI data training projects?

JavaScript Developers involved in AI data training often encounter challenges such as ensuring data quality and consistency, managing large datasets, and effectively collaborating with data scientists and machine learning engineers. The role may require a deep understanding of data preprocessing, annotation tools, and integrating APIs to streamline data workflows. Additionally, working in this space often involves staying up to date with the latest AI frameworks and adapting to rapidly evolving project requirements, which can be both demanding and rewarding.

What is a Javascript Developer for Training AI Data?

A Javascript Developer for Training AI Data is a software engineer who specializes in using Javascript to help build, annotate, or process datasets that are used to train artificial intelligence models. Their work may involve developing data labeling tools, writing scripts to clean and preprocess data, or building user interfaces that facilitate the collection of high-quality training data. They play a crucial role in ensuring that AI systems receive the accurate and well-structured information they need to learn effectively. This position often requires a strong knowledge of Javascript, data handling, and sometimes an understanding of machine learning concepts.

What are the key skills and qualifications needed to thrive as a Javascript Developer for Training AI Data, and why are they important?

To thrive as a Javascript Developer for Training AI Data, you need strong proficiency in JavaScript, data manipulation, and a solid understanding of machine learning concepts, usually backed by a degree in computer science or a related field. Familiarity with frameworks like Node.js, data annotation tools, and version control systems such as Git is typically required. Analytical thinking, attention to detail, and effective teamwork are essential soft skills for excelling in this role. These skills ensure accurate data preparation and robust integration of AI models, leading to effective training outcomes and project success.
What are popular job titles related to Javascript Developer For Training Ai Data jobs in Connecticut? For Javascript Developer For Training Ai Data jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Javascript Developer For Training Ai Data jobs in Connecticut look for? The top searched job categories for Javascript Developer For Training Ai Data jobs in Connecticut are:
What cities in Connecticut are hiring for Javascript Developer For Training Ai Data jobs? Cities in Connecticut with the most Javascript Developer For Training Ai Data job openings:
Director, Data Architect

Full-time

Posted 12 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

54th of 281 rated insurance


Job description

Dir Data Architecture - GT06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking a Director of Data Architecture to lead the strategic design, governance, and evolution of the Employee Benefits data ecosystem within the Enterprise Data Services (EDS) organization. This leadership role offers a unique opportunity to define and execute a modern data architecture vision that enables advanced analytics, AI-driven innovation, operational excellence, and business growth across Employee Benefits products.
You will lead a high-performing team of data architects responsible for establishing scalable, secure, and resilient data platforms, integration frameworks, and enterprise information management capabilities. Partnering closely with leaders across Actuarial, Data Science, Data Engineering, Technology, and business organizations, you will drive data architecture strategies that support real-time data ingestion, trusted data curation, data products, AI-enabled solutions, and critical business decision-making.
As a key leader within EDS, you will champion the adoption of modern cloud-based architectures, event-driven data platforms, data governance frameworks, and enterprise data standards. You will collaborate across organizational boundaries to ensure data assets are discoverable, interoperable, and aligned with business and technology objectives while enabling scalability, agility, and regulatory compliance.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
Primary Job Responsibilities
  • Strategy and Execution: Lead the strategy and execution of complex and large Data and Analytics portfolio.
  • Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
  • Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
  • Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
  • AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
  • Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
  • Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.
  • Data and Analytics Management: Oversee the design, development, and maintenance of lakehouse architectures, data pipelines, data warehouses, data lakes and reporting systems.
  • Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.
  • Leadership: Mentor and lead a high-performing team including Directors, Business data analysts, Data engineers and Release train engineers. Of Data Architects
  • Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
  • Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML, design prototypes and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
  • Data Governance, Stewardship and Quality: Support robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
  • Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
  • Partners with Technology, Data, AI Platform, EB Ops and Architecture teams to influence technology, data, platform and tooling strategy.

Qualifications
  • Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
  • 12+ years in data engineering, data management and building large-scale data ecosystems.
  • Bachelor's or Master's degree in Computer Science, Data Science or a related field.
  • 7+ years in leadership roles managing large and complex data and analytics portfolio with large size teams.
  • Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
  • Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, lakehouses , data integration, data domains, data products, conversational business intelligence, and cloud technology capabilities.
  • Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
  • Strong experience with GCP, Vertex AI or AWS required.
  • Experience in multi cloud environment.
  • Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
  • Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
  • Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
  • Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
  • Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
  • Preferred experience in the Employee Benefit insurance industry.

Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$140,000 - $210,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

What The Hartford employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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