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Remote Life Insurance Call Center Jobs in Tennessee

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

$50K - $60K/yr

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

$50K - $60K/yr

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Have experience in a high-volume outbound sales or call center role * Are comfortable making ... Active Life and Health insurance license preferred. Candidates without an active license must be ...

Showing results 41-60

Remote Life Insurance Call Center information

What are the key skills and qualifications needed to thrive as a remote life insurance call center representative?

Success as a Remote Life Insurance Call Center Representative requires strong communication abilities, customer service experience, and typically a high school diploma or equivalent, with some employers preferring a life insurance license. Familiarity with customer relationship management (CRM) systems, call center software, and compliance protocols is often necessary. Outstanding soft skills include active listening, empathy, problem-solving, and resilience to handle high call volumes and sensitive conversations. These skills are vital to effectively address customer needs, ensure regulatory compliance, and build trust, which are all crucial for retention and sales performance in a remote environment.

What is the difference between Remote Life Insurance Call Center vs Remote Life Insurance Customer Service Representative?

AspectRemote Life Insurance Call CenterRemote Life Insurance Customer Service Representative
CredentialsBasic insurance licensing, communication skillsSame as call center roles, often requires licensing
Work EnvironmentCall center setting, team-based, remote options availableRemote, home-based, individual-focused
Employer & Industry UsageInsurance companies, third-party call centersInsurance providers, agencies, third-party services
Job FocusHandling inbound/outbound calls, policy info, salesCustomer inquiries, policy support, claims assistance

Both roles involve working remotely in the insurance industry and require similar licensing and communication skills. The main difference lies in the job focus: call center roles emphasize sales and outbound/inbound calls, while customer service representatives focus on policy support and customer inquiries. Understanding these distinctions can help job seekers choose the best fit for their skills and career goals.

What is a remote life insurance call center?

A Remote Life Insurance Call Center job involves working from home to assist customers with their life insurance needs over the phone or through online communication platforms. Employees in these roles handle inquiries about policies, help clients understand coverage options, process applications, and sometimes provide quotes or support with claims. The job requires strong communication skills, attention to detail, and knowledge of life insurance products. Typically, remote call center agents must have a reliable internet connection, a quiet workspace, and may need to be licensed depending on the role and location.

What are some common challenges faced by remote life insurance call center representatives, and how can they be managed?

One common challenge in a remote life insurance call center role is maintaining consistent communication and collaboration with team members, as you may not have in-person interactions. Additionally, handling sensitive client information securely while working from home requires strict adherence to data protection protocols. Managing high call volumes and addressing complex customer questions about policies can also be demanding. To succeed, it's important to stay organized, leverage company-provided technology, attend virtual team meetings, and actively seek feedback and support from supervisors and peers.
What are the most commonly searched types of Life Insurance Call Center jobs in Tennessee? The most popular types of Life Insurance Call Center jobs in Tennessee are:
What job categories do people searching Remote Life Insurance Call Center jobs in Tennessee look for? The top searched job categories for Remote Life Insurance Call Center jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Life Insurance Call Center jobs? Cities in Tennessee with the most Remote Life Insurance Call Center job openings:
Infographic showing various Remote Life Insurance Call Center job openings in Tennessee as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution.

AWS Certified AI Practitioner (Remote)

Koniag, Inc.

Nashville, TN โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Koniag Services Inc., a Koniag Government Services company, is seeking an innovative and technically skilled AWS Certified AI Practitioner to support the design, implementation, and optimization of artificial intelligence (AI) and machine learning (ML) solutions built on the Amazon Web Services (AWS) platform for our IT Call Center serving government clients. The ideal candidate is a forward-thinking and analytically minded professional with demonstrated experience leveraging AWS AI and ML services to develop intelligent automation, predictive analytics, and natural language processing solutions that enhance the efficiency, performance, and customer experience of IT Call Center operations. They bring strong technical acumen, a passion for emerging AI technologies, and the ability to work independently and collaboratively in a fully remote environment to deliver AI-powered solutions that drive measurable operational improvements. Ability to obtain a government security clearance may be required to support Koniag Services Inc. and our government customers. This position is Remote.
We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.
Position Description:
The AWS Certified AI Practitioner will be responsible for the design, implementation, optimization, and ongoing support of AWS AI and ML solutions supporting IT Call Center operations. This individual will work closely with program leadership, the AWS Solutions Architect, the AWS Connect Administrator, data analysts, and government stakeholders to identify opportunities to leverage AI and ML capabilities to enhance call center automation, operational intelligence, and service delivery outcomes. Principal responsibilities will include but are not limited to:
  • Identify, evaluate, and implement AWS AI and ML service solutions that enhance IT Call Center operations, including intelligent automation, natural language processing, predictive analytics, sentiment analysis, and conversational AI capabilities.
  • Design, develop, and maintain AWS AI and ML solutions leveraging core AWS AI services including Amazon Lex, Amazon Polly, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon SageMaker, Amazon Bedrock, and related AWS AI and ML platform services.
  • Collaborate with the AWS Connect Administrator to design, implement, and optimize AI-powered contact center capabilities within the AWS Connect platform, including Amazon Lex-powered IVR and chatbot solutions, Amazon Transcribe Call Analytics for real-time and post-call analysis, and Amazon Connect Wisdom for AI-driven agent assistance.
  • Partner with data analysts and program leadership to develop and implement predictive analytics and machine learning models that leverage call center operational data to forecast call volumes, predict SLA risks, identify performance trends, and support data-driven operational decision making.
  • Design and implement natural language processing (NLP) and sentiment analysis solutions using Amazon Comprehend and related AWS AI services to analyze customer interactions, identify satisfaction trends, and surface actionable insights for call center quality assurance and continuous improvement programs.
  • Develop and maintain AI-powered automation solutions that streamline call center workflows, reduce manual processing requirements, and enhance agent productivity, leveraging AWS Lambda, Amazon EventBridge, AWS Step Functions, and related AWS serverless and automation services.
  • Support the development and implementation of Amazon SageMaker-based machine learning pipelines for training, testing, deploying, and monitoring custom ML models that address specific IT Call Center operational challenges and performance improvement opportunities.
  • Collaborate with the AWS Solutions Architect to ensure all AI and ML solution designs are architected in alignment with program-wide AWS cloud architecture standards, security requirements, and FedRAMP compliance obligations.
  • Conduct regular assessments of deployed AI and ML solutions, monitoring model performance, accuracy, and operational impact, and implementing updates, retraining, and optimization activities to maintain solution effectiveness over time.
  • Develop and maintain comprehensive technical documentation for all AI and ML solutions including solution design documents, architecture diagrams, model documentation, data flow diagrams, and operational runbooks.
  • Stay current on AWS AI and ML platform updates, new service releases, emerging AI technologies, and industry best practices, proactively identifying opportunities to leverage new AWS AI capabilities to enhance IT Call Center performance and customer experience.
  • Provide technical guidance and subject matter expertise to program leadership, operations staff, and data analysts on AWS AI and ML service capabilities, solution design approaches, and responsible AI principles and practices.
  • Ensure all AWS AI and ML solution design and implementation activities comply with applicable federal security requirements, AWS GovCloud policies, FedRAMP authorization requirements, data privacy regulations, and responsible AI governance standards.
  • Support the development and delivery of training materials and knowledge sharing sessions for program staff on deployed AI and ML solutions, ensuring all relevant team members understand solution capabilities, limitations, and appropriate use cases.
  • Contribute to business development activities as needed, including supporting proposal efforts with AI and ML capability narratives, technical solution concepts, and relevant past performance documentation.

Education and Experience:
Required:
  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, or a related field from an accredited college or university. Relevant experience may be considered in lieu of a degree.
  • 3+ years of hands-on experience designing, implementing, and managing AWS AI and ML solutions in a structured IT service delivery or data-driven operational environment.
  • Demonstrated experience developing and deploying solutions leveraging AWS AI services including Amazon Lex, Amazon Comprehend, Amazon Transcribe, Amazon Polly, and/or Amazon SageMaker.
  • Experience integrating AWS AI and ML services with cloud-based operational platforms and enterprise systems.
  • AWS Certified AI Practitioner certification (required at time of hire).

Preferred:
  • Prior experience designing and implementing AWS AI and ML solutions within a federal government contracting or AWS GovCloud environment.
  • Experience supporting AI and ML solution development for an IT call center, service desk, or IT managed services program, including experience with AWS Connect AI-powered contact center capabilities.
  • AWS Certified Machine Learning - Specialty certification or demonstrated progress toward obtaining the certification.
  • Experience working in a fully remote AI and ML development role within a government contracting environment.

Required Skills and Competencies:
  • Strong communication skills in English - both written and oral - with the ability to present complex AI and ML solution designs, technical findings, and strategic recommendations clearly and effectively to both technical and non-technical audiences including program leadership and government stakeholders in a remote work environment.
  • Demonstrated hands-on proficiency in designing and implementing AWS AI and ML solutions leveraging a broad portfolio of AWS AI services including Amazon Lex, Amazon Polly, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition, Amazon SageMaker, and Amazon Bedrock.
  • Strong working knowledge of natural language processing (NLP), conversational AI, sentiment analysis, speech-to-text, and text-to-speech concepts and their practical application within AWS AI service implementations.
  • Proficiency in Amazon SageMaker for the development, training, deployment, and monitoring of custom machine learning models, including experience with SageMaker Studio, SageMaker Pipelines, and SageMaker Model Monitor.
  • Working knowledge of AWS Connect AI-powered contact center capabilities including Amazon Lex IVR and chatbot integration, Amazon Transcribe Call Analytics, Amazon Connect Wisdom, and Amazon Connect Customer Profiles.
  • Proficiency in serverless and automation services such as AWS Lambda, Amazon EventBridge, and AWS Step Functions for the development of AI-powered workflow automation solutions.
  • Strong understanding of machine learning concepts including supervised and unsupervised learning, model training and evaluation, feature engineering, and model deployment and monitoring best practices.
  • Proficiency in scripting or programming languages such as Python for ML model development, AWS Lambda function development, data processing, and AI solution automation.
  • Working knowledge of AWS security and compliance principles as they apply to AI and ML solution design, including data privacy, IAM policy configuration, and FedRAMP compliance considerations.
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) and remote collaboration tools such as Microsoft Teams and SharePoint for documentation, communication, and coordination purposes.
  • Ability to obtain and maintain a government security clearance as required.

Desired Skills and Competencies:
  • Active government security clearance (Secret or higher).
  • AWS Certified Machine Learning - Specialty certification.
  • AWS Certified Solutions Architect - Associate or Professional certification.
  • AWS Certified AI Practitioner certification.
  • Experience designing and implementing AWS AI and ML solutions within an AWS GovCloud environment in support of federal government FedRAMP authorization and data privacy requirements.
  • Familiarity with federal IT security frameworks and compliance requirements such as NIST SP 800-53, FedRAMP, FISMA, and emerging federal AI governance frameworks as they relate to AI and ML solution design and deployment.
  • Experience with Amazon Bedrock and large language model (LLM) integration for generative AI application development within a government IT service delivery context.
  • Familiarity with responsible AI principles, AI ethics frameworks, and bias detection and mitigation strategies as they apply to AI and ML solution development and deployment in a federal government environment.
  • Experience with data engineering and ML pipeline development tools including AWS Glue, Amazon Kinesis, Amazon Redshift, and related AWS data processing and storage services.
  • Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn for custom model development and integration with AWS SageMaker.
  • Experience with MLOps principles and practices including model versioning, continuous integration and delivery for ML pipelines, and automated model retraining and monitoring.
  • Familiarity with Amazon QuickSight or equivalent cloud-based business intelligence platforms for AI and ML solution performance reporting and operational analytics.
  • ITIL Foundation certification or higher demonstrating knowledge of IT service management principles relevant to AI-powered IT call center operations.
  • Experience contributing to business development efforts including proposal writing, AI and ML capability development narratives, and past performance documentation.
  • Knowledge of conversational AI design principles and best practices for developing effective and accessible IVR and chatbot experiences within a government IT call center context.

Our Equal Employment Opportunity Policy:
The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.
The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or to apply to a position on our website, please contact Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.
Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.
Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

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About Koniag

Sourced by ZipRecruiter

Industry

Investment management and consulting services

Company size

501 - 1,000 Employees

Headquarters location

Kodiak, AK, US

Year founded

1972

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