1

Document Processing Jobs in Connecticut (NOW HIRING)

Processing Technician

Hartford, CT · On-site +1

$55.25K - $72.25K/yr

This documentation may include: a cover letter, resume, transcripts, diplomas, performance reviews ... May process fees and maintain financial records; * May lead lower level clerical employees ...

... Processing Technician to join our team! As a Certified Great Place to Work organization, Stamford ... documenting sterilization loads, and other assigned tasks. * Efficient and punctual distribution of ...

... Processing Technician to join our team! As a Certified Great Place to Work organization, Stamford ... documenting sterilization loads, and other assigned tasks. * Efficient and punctual distribution of ...

next page

Showing results 1-20

Document Processing information

See Connecticut salary details

$10

$19

$29

How much do document processing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for document processing in Connecticut is $19.62, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $23.32 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in Document Processing, and why are they important?

To thrive in Document Processing, you need strong attention to detail, organizational skills, and proficiency in data entry, often supported by a high school diploma or relevant certification. Familiarity with document management systems, OCR software, and office applications like Microsoft Word and Excel is typically required. Excellent time management, accuracy, and effective communication help you excel in this role. These skills ensure documents are processed efficiently and accurately, supporting smooth business operations and compliance.

What are some common challenges faced in a Document Processing role, and how can they be managed effectively?

A common challenge in Document Processing is maintaining accuracy and consistency while handling large volumes of data under tight deadlines. Errors in data entry or misfiling documents can have significant downstream impacts, so attention to detail is crucial. Many teams address these challenges by implementing robust quality control procedures, utilizing document management software, and promoting regular communication among team members to clarify protocols. Staying organized and proactively addressing discrepancies can help ensure smooth workflow and reduce mistakes.

What is document processing?

Document processing refers to the systematic handling of documents, which can include scanning, digitizing, organizing, indexing, and storing paper or electronic files. Professionals in this field ensure that information is accurately captured, categorized, and easily retrievable for future reference. Document processing is vital in industries such as healthcare, legal, finance, and government, where large volumes of information must be managed securely and efficiently. Advanced document processing may also involve data extraction using software or artificial intelligence to automate repetitive tasks.

What is the difference between Document Processing vs Data Entry Clerk?

AspectDocument ProcessingData Entry Clerk
Required CredentialsHigh school diploma; familiarity with document management softwareHigh school diploma; proficiency in data entry tools
Work EnvironmentOffice settings; handling physical and digital documentsOffice environments; inputting data into computer systems
Employer & Industry UsageLegal, healthcare, finance; document management rolesAdministrative, clerical; data management across industries
Common Search & ComparisonOften compared for document handling tasksCompared for data input roles

Document Processing involves managing, reviewing, and organizing documents, often in legal or healthcare settings. Data Entry Clerks focus on inputting data into systems. While both roles require attention to detail and similar skills, Document Processing emphasizes document management workflows, whereas Data Entry is centered on data accuracy and speed.

What are the most commonly searched types of Document Processing jobs in Connecticut? The most popular types of Document Processing jobs in Connecticut are:
What are popular job titles related to Document Processing jobs in Connecticut? For Document Processing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Document Processing jobs in Connecticut look for? The top searched job categories for Document Processing jobs in Connecticut are:
What cities in Connecticut are hiring for Document Processing jobs? Cities in Connecticut with the most Document Processing job openings:
Infographic showing various Document Processing job openings in Connecticut as of May 2026, with employment types broken down into 2% As Needed, 64% Full Time, 31% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $40,820 per year, or $19.6 per hour.

Client Principal - AI Consulting (Property & Casualty Insurance)

CloudFactory

Hartford, CT

Full-time

Posted 18 days ago


Job description

At CloudFactory, we are a mission-driven team passionate about unlocking the potential of AI to transform the world. By combining advanced technology with a global network of talented people, we make unusable data usable, driving real-world impact at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

  • Mission-Driven: We focus on creating economic and social impact.
  • People-Centric: We care deeply about our team's growth, well-being, and sense of belonging.
  • Innovative: We embrace change and find better ways to do things together.
  • Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you're passionate about innovation, collaboration, and making a real impact, we'd love to have you on board!

About the Role

Property & Casualty (P&C) insurance is one of the most AI-active, and most complex sectors in financial services.

While the opportunity is significant, most insurers struggle to move from promising pilots to production-grade AI. Challenges around data quality, model explainability, human-in-the-loop requirements, and regulatory scrutiny continue to slow progress.

CloudFactory is built to solve exactly this.

As Client Principal, AI Consulting (Property & Casualty Insurance), you will be the senior commercial and strategic leader for our P&C sector. You will operate as a trusted advisor to executive stakeholders across large carriers, specialty insurers, and insurtechs, shaping AI transformation agendas and leading engagements from origination through delivery oversight.

This is a high-impact, externally facing role for someone who can open doors, lead complex conversations, and convert opportunity into long-term partnerships.

What You'll Do

Executive Relationships & Strategic Advisory

  • Build and lead market growth strategy for P&C insurers, reinsurers and insurtechs, to include establishing and owning senior prospect relationships.
  • Engage C-suite and VP stakeholders (Claims, Data, Underwriting, Risk) as a trusted advisor, not a vendor.
  • Operate as a strategic advisor on AI adoption, from use case identification to production deployment and model governance.
  • Lead executive discussions on how AI, particularly human-in-the-loop approaches, can improve efficiency, accuracy, and regulatory defensibility.
  • Align complex stakeholder groups across claims, actuarial, IT, data science, and compliance functions.
  • Identify and drive expansion opportunities within existing accounts.

Business Development & Commercial Leadership

  • Own new logo acquisition, account expansion and P/L management across enterprise P&C clients in the US and Europe.
  • Develop strategic account plans that scale from initial use cases to enterprise-wide AI programs.
  • Own the full commercial lifecycle: discovery, solution framing, proposal development, and executive presentations.
  • Navigate procurement processes, RFPs, vendor risk frameworks, and regulatory constraints effectively.
  • Partner with internal teams to craft tailored, high-impact solutions for insurance clients.

Solution Shaping & Delivery Oversight

  • Identify high-impact AI use cases across the insurance value chain, including:
    • Claims document processing and intelligent document understanding
    • Aerial and satellite imagery analysis for property assessment
    • NLP for policy, coverage, and regulatory interpretation
    • Underwriting data enrichment and risk model validation
    • FNOL automation and subrogation workflows
  • Lead discovery sessions and workshops to uncover transformation opportunities.
  • Translate operational and regulatory challenges into scalable AI solutions.
  • Collaborate closely with data science and engineering teams to ensure successful execution.
  • Maintain accountability for delivery quality, timelines, and client satisfaction.

Thought Leadership & Market Influence

  • Stay at the forefront of AI trends in insurance, including fraud detection, intelligent document processing, and risk modeling.
  • Represent CloudFactory in industry forums, client workshops, and executive discussions.
  • Demonstrate strong awareness of regulatory frameworks (e.g., NAIC guidelines, EU AI Act, model risk management standards).
  • Feed market insights back into product development and go-to-market strategy.

Leadership & Collaboration

  • Lead and influence cross-functional teams across consulting, data science, and delivery.
  • Foster a culture of collaboration, innovation, and continuous improvement.
  • Contribute to knowledge sharing and best practices across engagements.