Quality Assurance Specialist-Seasonal

Join us in creating a better way! At eHealth, our mission is to expertly guide consumers through their health insurance and related options when, where, and how they prefer. We’re creating a better way – one that’s transparent and trustworthy for both our consumers externally and our employees internally. Move your career forward while connecting countless people to the life- changing, quality care they deserve. Our diverse team of innovators supports one another in solving some of the toughest challenges. We’re always on the lookout for creative opportunities to do right by our customers, and each other. Together, we’re creating a better way to work, united by our common passion to make a difference. Role Overview: The SMU QA Partner works directly with sales supervisors, the QA management team and carrier partners, and will assist with the implementation of the sales quality and compliance standards, including but not limited to agent oversight processes. This is a seasonal role with an anticipated end date of December 8, 2026. What you’ll do: Report QA results to the Sales and Quality management teams. Participate in conference calls with eHealth carrier partners and sales leaders to discuss quality monitoring standards and results, while maintaining a strong partnership and collaboration with the client. Participate in calibration calls with sales leadership, offering feedback and guidance on trends within the call center. Assist in retrieving call recordings at the request of eHealth carrier partners, marketing, and sales teams, providing summaries of findings within established timeframes. Partner and collaborate with the sales team to create and update sales process expectations effectively and thoughtfully. Assist with sales agent coaching and formal and informal re-training via conference calls, meetings, written communications such as memorandums and training presentations. Maintain knowledge through continued education/training of LevelAI platform (or other machine learning technologies) with a focus on continuously training the large language model based on call center needs. Analyze data from Level AI platform and package into actionable insights for the sales team. Demonstrate eHealth’s values in your behaviors, practices, and decisions. Who you are: Bachelor's Degree, or the equivalent combination of education, professional training, and/or work experience 3+ years of relevant work experience, preferably in a call center or Medicare industries Excellent written and verbal communication skills Knowledge of risk assessment concepts Analytical thinker with the ability to execute in a fast-paced environment in which priorities may frequently change. Team player, willing to share best practices and assist peers, as necessary. Experience with NICE inContact, LevelAI or other AI solutions * Please note the above is a summary of responsibilities; a full job description is available upon request. - The base pay range reflects the anticipated pay range for this position. The actual base pay offered will depend on various factors including individual skills, experience, performance, qualifications, the department budget, and the location where work is performed. Base pay is one component of eHealth’s total rewards package, which also includes an annual performance bonus, plus an array of benefits designed to support employees’ personal and professional wellness. For more information on our total rewards offerings, please visit our career site. - Base Pay Range -$53,200 - $66,500 - eHealth is an Equal Employment Opportunity employer. It is our policy to provide equal opportunity to all employees and applicants and to prohibit any discrimination because of race, color, religion, sex, national origin, age, marital status, sexual orientation, genetic information, disability, protected veteran status, or any other consideration made unlawful by applicable federal, state or local laws. The foundation of these policies is our commitment to treat everyone fairly and equally and to have a bias-free work environment.