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Remote Ai Prompt Engineer Jobs in Connecticut (NOW HIRING)

Varsity Tutors

ChatGPT Tutor

Stamford, CT · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Norwalk, CT · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

New Haven, CT · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

DataAnnotation

Software Engineer - AI Trainer

Hartford, CT · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Programmer - AI Trainer

Hartford, CT · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

DataAnnotation

Software Developer - AI Trainer

Hartford, CT · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... other engineers -- who are driving real-world impact in AI development. Our platform offers an ...

Quora

iOS Engineer -Remote

Bridgeport, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

New Haven, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Hartford, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Hamden, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Norwalk, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

Quora

iOS Engineer -Remote

Danbury, CT · Remote

$61.63 - $88.47/hr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ...

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All JobsAi Prompt Engineer JobsRemote Ai Prompt Engineer JobsRemote Ai Prompt Engineer Jobs in Connecticut

Remote Ai Prompt Engineer information

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$24

$51

$72

How much do remote ai prompt engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote ai prompt engineer in Connecticut is $51.02, according to ZipRecruiter salary data. Most workers in this role earn between $41.15 and $59.23 per hour, depending on experience, location, and employer.

What is a remote AI prompt engineer?

A Remote AI Prompt Engineer designs, refines, and optimizes prompts to improve AI-generated responses in various applications, such as chatbots, content generation, and automation tools. They work remotely to test AI models, analyze outputs, and develop strategies to enhance AI performance. This role requires strong language skills, creativity, and an understanding of AI model behavior. Their work helps ensure AI systems generate accurate, relevant, and high-quality responses.

What does a remote AI prompt engineer do?

A typical day for a Remote AI Prompt Engineer involves designing, testing, and refining prompts for various AI models to improve their outputs based on project goals. You may collaborate with product managers, data scientists, and software engineers through digital communication tools to align prompt strategies with business needs. Reviewing model responses, analyzing results, and documenting prompt performance are regular tasks. Additionally, you may participate in virtual team meetings and training sessions to stay updated on new AI developments. This role offers a diverse mix of technical problem-solving and creative experimentation within a flexible remote work environment.

What are the key skills and qualifications needed to thrive in the remote AI prompt engineer position, and why are they important?

To thrive as a Remote AI Prompt Engineer, you should have a strong grasp of natural language processing, prompt engineering techniques, and a background in computer science or related fields. Familiarity with AI platforms (such as OpenAI's GPT or similar LLMs), version control systems, and experience with relevant programming languages like Python are highly valuable, and certifications in AI or machine learning are a plus. Exceptional analytical thinking, clear written communication, creativity, and the ability to work independently are key soft skills for this role. These capabilities enable prompt engineers to develop effective prompts, collaborate remotely, and drive high-quality AI-driven outcomes.

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

The most popular types of Ai Prompt Engineer jobs in Connecticut are:

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

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

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

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

What cities in Connecticut are hiring for Remote Ai Prompt Engineer jobs?

Cities in Connecticut with the most Remote Ai Prompt Engineer job openings:

Remote Ai Prompt Engineer jobs near you
Infographic showing various Remote Ai Prompt Engineer job openings in Connecticut as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $106,118 per year, or $51 per hour.

Principal Reliability Engineer - EDS

The Hartford Financial Services Group, Inc.

Hartford, CT • On-site, Remote

Full-time

Re-posted 4 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

57th of 315 rated insurance

Job description

Principal Reliability Engineering - IE06JE
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 Enterprise Data Services (EDS) organization is seeking a Principal Reliability Engineer (Principal RE) to serve as the senior technical authority responsible for the reliability, resilience, availability, and performance of all data platforms, cloud infrastructure, data products, and data pipelines across the enterprise data organization. This role sets the strategic vision for Reliability Engineering within EDS and leads the definition, implementation, and continuous evolution of RE practices, tooling, automation, observability frameworks, and AIOps/AI-driven operations.
As the Principal RE, you will influence architectural direction, lead large-scale, cross-organizational technical initiatives, and drive a culture of engineering excellence, automation-first operations, and proactive reliability improvement. You will partner closely with platform engineering, data engineering, security, architecture, and product teams to embed RE principles into every stage of the data product lifecycle.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Key Responsibilities
Enterprise Reliability Strategy & Leadership
  • Work closely with the AVP, RE & Production Support, EDS defining the Reliability Engineering strategy for data platforms, data cloud environments, and data products.
  • Establish long-term RE roadmaps, target operating models, and architectural patterns that scale with organizational growth.
  • Serve as the highest-level technical escalation point for systemic reliability issues, influencing executive stakeholders and engineering leaders.

Platform & Cloud Reliability (AWS, GCP, Snowflake, EMR, Hadoop, ETL/ELT)
  • Leverage Enterprise provided standards and building blocks to Architect and evolve highly reliable, performant, and cost-efficient cloud-based platforms across AWS and GCP for all EDS services.
  • Influence and work directly with Platform Solution Architecture on new product enablement, hyper automation (end to end blueprint automation).
  • Oversee reliability controls and fail-safe patterns for Snowflake, EMR, Hadoop/Spark clusters, container platforms (e.g., Kubernetes), and mission-critical data systems.
  • Lead the creation and enforcement of SLO/SLI frameworks that span the entire data lifecycle.

AI-Enabled Operations, AIOps & Intelligent Automation
  • Develop and implement AI-driven automation for anomaly detection, alert correlation, autonomous remediation, and predictive capacity management.
  • Leverage LLMs, prompt engineering, and cloud-native AI services (AWS Bedrock, SageMaker, Vertex AI) to build intelligent runbooks, advanced troubleshooting agents, and generative-AI-enabled operational tooling.
  • Champion the adoption of machine learning-based observability and reliability analytics.

End-to-End Observability & Operational Excellence
  • Adopt and architect enterprise-wide data observability frameworks-including logging, metrics, tracing, distributed profiling, and event pipelines-for all data platforms and pipelines.
  • Establish gold-standard incident response patterns, post-incident reviews, and continuous improvement processes.
  • Drive elimination of toil across EDS, focusing on self-healing systems, proactive detection, and autonomous operations.

Data Pipeline & Data Product Reliability
  • Define RE best practices for modern data products, governed data pipelines, real-time/streaming systems, and operational analytics platforms.
  • Ensure data quality, data timeliness, and SLAs for data products through automated checks, lineage-informed alerting, and pipeline reliability tooling.
  • Partner with Data Engineering to embed resilience patterns (idempotency, checkpointing, replayability, disaster recovery) into pipeline architectures.

Engineering Standards, Governance & Cross-Org Influence
  • Set and enforce standards for IaC, CI/CD, platform automation, reliability frameworks, operational readiness, and runbook quality across EDS.
  • Provide technical leadership and mentorship to Staff/Senior Engineers in the RE team and Production Support teams, influencing engineering culture and helping grow RE capabilities across the organization.
  • Represent Reliability Engineering in architectural reviews, enterprise governance forums, and executive-level discussions.

Technical Experience
  • 10+ years in one or more of the following areas: data, cloud, platform engineering, site/reliability engineering, or large-scale distributed systems, with experience in leadership or technology leader roles.
  • Proficiency with data or cloud platforms, including architectural patterns for resilience, networking, security, and distributed data infrastructure.
  • Deep experience supporting or engineering platforms such as Snowflake, EMR, Hadoop/Spark, Data Integration, and cloud-native data ecosystems.
  • Scripting and programming (preferably Python) for large-scale automation, platform tooling, and reliability frameworks.
  • Experience with Infrastructure-as-Code (Terraform, CloudFormation) and enterprise CI/CD.

Preferred Qualifications
  • Experience in regulated or highly complex enterprise environments (financial services, insurance, healthcare).
  • Prior experience as a Senior Staff Engineer, Engineering or Architecture leader with hands on experience, or similar senior technical role.
  • Knowledge of data governance, metadata, lineage systems, and data quality engineering practices.
  • Certifications in AWS, GCP, Kubernetes, or SRE/DevOps frameworks.

AI & AIOps
  • Background applying machine learning to operations-anomaly detection, event correlation, predictive modeling, and automated remediation.
  • Understand of AI-enabled developer/operations tools using LLMs, prompt engineering, or cloud AI services for reliability improvements.

Observability & Platform Operations
  • Expertise with enterprise observability stacks (Prometheus, Grafana, Datadog, Splunk, Dynatrace, OpenTelemetry).
  • Ability to design and enforce advanced SLI/SLO frameworks across complex data ecosystems.

Leadership & Cross-Functional Influence
  • Demonstrated ability to lead technical strategy at scale, influence senior engineering leaders, and set enterprise-wide standards.
  • Strong capability in mentoring engineers, providing architectural guidance, and fostering engineering excellence.
  • Exceptional communication skills for interacting with executives, senior architects, product leaders, and engineering teams.

Candidate 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.
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:
$152,800 - $229,200
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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