Part-Time Remote Data Entry Claims Intake Processor – 34 Hours/Week, Insurance & Authorization Specialist

About careerzynith – Pioneering Precision in Health‑Care Data Management

At careerzynith, we are dedicated to transforming the way health‑care information flows between providers, insurers, and patients. Our mission is to deliver fast, accurate, and secure data processing that empowers medical professionals to focus on patient care while we handle the administrative backbone. As a leader in the health‑care claims ecosystem, careerzynith combines cutting‑edge imaging technology with a culture of continuous improvement, collaboration, and employee empowerment. Whether you are a seasoned data entry specialist or an emerging talent looking to sharpen your skills, you will find a supportive environment that values precision, accountability, and personal growth.

Position Overview – Why This Role Matters

We are seeking a meticulous, self‑motivated Part‑Time Remote Data Entry Claims Intake Processor to join our dynamic claims intake team. Working 34 hours per week on a flexible schedule between 8 am and 4:30 pm CST, you will be the first line of defense in ensuring that every insurance claim and authorization request is captured accurately, efficiently, and in compliance with our rigorous quality standards. Your work will directly impact turnaround times, client satisfaction, and the overall integrity of the data that drives critical health‑care decisions.

Core Responsibilities – What You’ll Do Every Day

• Accurately enter data from insurance claims and authorization requests submitted by health‑care providers into careerzynith’s proprietary imaging and claims management system.
• Navigate imaging software swiftly to retrieve claim documents, ensuring that each file is processed within the designated turnaround time.
• Distinguish between various claim types (e.g., medical, dental, pharmacy) and apply the appropriate data entry guidelines for each category.
• Identify special‑handling documents—such as supplemental medical records or prior‑authorization forms—and flag them for review according to established protocols.
• Collaborate closely with teammates to balance workload, share best practices, and maintain consistent throughput across the shift.
• Support additional workflows, such as bulk data uploads or ad‑hoc reporting, when internal or external requirements arise.

Additional Responsibilities – Going the Extra Mile

• Perform quality reviews of peer‑entered claims and authorizations, ensuring adherence to the 98 % accuracy benchmark and 8,200 KSPH (keystrokes per hour) productivity target.
• Proactively alert management to any discrepancies, potential fraud indicators, or system inefficiencies you encounter during processing.
• Contribute ideas for process enhancements, automation opportunities, or training improvements that could boost team efficiency and data integrity.
• Assist in onboarding new team members by sharing insights, demonstrating software navigation techniques, and modeling best‑in‑class data entry practices.

Required Qualifications – What We Expect From You

• Education: High school diploma or equivalent (GED accepted).
• Experience: Minimum of 6 months of experience in a data‑entry or typing‑focused role, preferably within a health‑care, insurance, or financial services environment.
• Technical Skills: Proven ability to achieve at least 8,200 KSPH with a 98 % accuracy rate on alphanumeric data entry assessments.
• Attention to Detail: Exceptional focus on accuracy, with a track record of catching and correcting errors before they propagate.
• Communication: Clear written communication skills for documenting discrepancies and providing concise feedback to supervisors.
• Reliability: Consistent attendance and the ability to meet or exceed daily productivity targets while working remotely.

Preferred Qualifications – Nice‑to‑Have Extras

• Experience with medical billing codes (ICD‑10, CPT, HCPCS) or familiarity with health‑care claim terminology.
• Previous exposure to imaging software such as Adobe Acrobat, Kofax, or similar document capture platforms.
• Certification in medical records administration (e.g., RHIT, RMA) or a related field.
• Demonstrated ability to work in a fast‑paced, deadline‑driven environment while maintaining high quality standards.

Key Skills & Competencies – Tools for Success

• Typing Proficiency: Fast and accurate keystroke execution, with a focus on error‑free data capture.
• Analytical Thinking: Ability to quickly differentiate claim types and apply the correct data entry rules.
• Time Management: Efficiently prioritize tasks to meet strict turnaround times without sacrificing quality.
• Team Collaboration: Strong interpersonal skills for remote teamwork, knowledge sharing, and collective problem‑solving.
• Adaptability: Comfort with evolving processes, new software updates, and shifting workload demands.
• Integrity & Confidentiality: Commitment to safeguarding protected health information (PHI) in compliance with HIPAA regulations.

Career Growth & Learning Opportunities at careerzynith

careerzynith invests heavily in employee development. As a Data Entry Claims Intake Processor, you will have access to a robust learning platform that offers courses on medical coding, advanced imaging software, and data analytics. High‑performing team members are eligible for internal promotion pathways, including roles such as Claims Analyst, Quality Assurance Specialist, and Operations Coordinator. We also sponsor certifications and provide mentorship programs to help you expand your expertise and accelerate your career trajectory within the health‑care data ecosystem.

Compensation, Perks, & Benefits – What You’ll Receive

While exact salary details are tailored to experience and location, careerzynith offers a competitive hourly rate that reflects the specialized nature of the role. Additional benefits include:

• Flexible remote work arrangement with a schedule that can be customized within the 8 am‑4:30 pm CST window.
• Performance‑based bonuses tied to accuracy and productivity milestones.
• Comprehensive health, dental, and vision insurance plans for you and eligible dependents.
• Paid time off, sick leave, and holiday pay to support work‑life balance.
• Retirement savings options, including a 401(k) match.
• Access to a virtual employee assistance program (EAP) for mental health and wellness support.
• Regular virtual team‑building events, recognition programs, and a culture that celebrates achievements.

Work Environment & Culture – Life at careerzynith

Our remote workforce thrives on a culture of trust, transparency, and continuous improvement. careerzynith promotes an inclusive environment where diverse perspectives are welcomed and every voice matters. You will be part of a collaborative network of professionals who share a common purpose: delivering flawless data that fuels better health outcomes. Regular virtual check‑ins, cross‑functional training sessions, and an open‑door policy with leadership ensure you stay connected, informed, and empowered.

Application Process – How to Join careerzynith

If you meet the qualifications and are excited about contributing to a mission‑driven organization, we invite you to apply today. The selection process includes an online alphanumeric data entry assessment to verify your typing speed and accuracy. Successful candidates will then move forward to a virtual interview where we’ll discuss your experience, work style, and how you can thrive within our remote team.

Ready to make an impact? Apply Now at careerzynith and start your journey toward a rewarding career in health‑care data management.

Closing Statement – Your Next Step

At careerzynith, every claim you process is a building block in a larger picture of patient care excellence. Join us, and you’ll be part of a forward‑thinking organization that values precision, respects your time, and invests in your professional growth. We look forward to welcoming a detail‑oriented, collaborative, and motivated individual to our team. Take the next step—apply today and help us shape the future of health‑care data.