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Data Entry Ai Remote Jobs in Connecticut (NOW HIRING)

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ... Lead the implementation of AI data pipelines integrating structured, semi-structured, and ...

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Stafford Springs, CT ยท On-site +1

$60K - $65K/yr

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

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Data Entry Ai Remote information

What is a data entry AI remote?

A Data Entry AI Remote job involves entering, updating, or verifying data using computer systems and AI-powered tools, all while working from a remote location. This role often requires accuracy, attention to detail, and proficiency with digital platforms. Tasks may include organizing large datasets, labeling data for machine learning, or reviewing automated data entries for quality assurance. Many companies hire remote data entry specialists to handle digital records and support AI model development. This job offers flexibility and can often be performed from home.

What are the key skills and qualifications needed to thrive as a data entry AI remote worker?

To thrive as a Data Entry AI Remote worker, you need excellent typing skills, attention to detail, accuracy, and a high school diploma or equivalent. Familiarity with data entry software, spreadsheets (like Microsoft Excel or Google Sheets), and sometimes basic knowledge of AI-powered data processing tools is required. Strong organizational skills, time management, and the ability to work independently are vital soft skills for remote success. These skills ensure data is entered quickly and correctly, maintaining the integrity and usefulness of company information systems.

How does a remote data entry AI role typically collaborate with other team members and departments?

In a remote Data Entry AI position, collaboration often happens through digital communication tools such as email, chat platforms, and project management software. You may work closely with teams like data science, quality assurance, and IT to ensure data accuracy and streamline automated processes. Regular virtual meetings help clarify project goals, address challenges, and share updates. Being proactive in communication and maintaining organized records is key to effective teamwork in this remote environment.

What is the difference between Data Entry Ai Remote vs Data Entry Clerk?

AspectData Entry Ai RemoteData Entry Clerk
CredentialsBasic computer skills, familiarity with AI toolsHigh school diploma or equivalent, basic computer skills
Work EnvironmentRemote, often freelance or contract-basedOffice or remote, depending on employer
Industry UsageTech companies, AI startups, data servicesVarious industries including healthcare, finance, retail
Job TasksData input, validation, working with AI-assisted toolsData entry, data verification, basic administrative tasks

While both roles involve data input, Data Entry Ai Remote emphasizes working with AI tools remotely, often requiring familiarity with AI software. Data Entry Clerk is a more traditional role focused on manual data entry across various industries. The main difference lies in the use of AI technology and remote work flexibility.

Are any remote data entry ai jobs legit?

Remote data entry AI jobs are legitimate opportunities, often involving tasks like data labeling, transcription, or annotation using specialized tools. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and review reviews or ratings to ensure legitimacy.

What are popular job titles related to Data Entry Ai Remote jobs in Connecticut?

For Data Entry Ai Remote jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Data Entry Ai Remote jobs?

Cities in Connecticut with the most Data Entry Ai Remote job openings:

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

Hartford, CT โ€ข Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 hours ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning.Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.

Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.

Key Responsibilities

Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.

Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.

Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.

Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.

Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.

Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.

Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.

Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.

Translate business opportunities into scalable AI solutions that deliver measurable business value.

Required Skills and Experience

7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.

3+ years of people leadership experience.

Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.

Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.

Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.

Strong experience evaluating AI technologies, platforms, and vendors.

Strong Python experience for data science, machine learning, and AI development.

Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.

Strong communication skills with the ability to influence technical and non-technical stakeholders.

Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.

Desired Skills and Experience

Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.

Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.

Experience applying AI and machine learning within enterprise environments.

Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.

Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.

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For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

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