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Remote Blue Cross Data Entry Jobs in Minnesota (NOW HIRING)

Boulay

CAAS Staff Accountant

Minneapolis, MN · On-site +1

$60K - $77K/yr

Maintain accounting records through data entry and file management * Prepare complex sales and use ... remote, as applicable) work environment, paid time away, and more. Benefits * 401(k) * Dental ...

Huntington

Segment Data Officer - 3

Minneapolis, MN · On-site +1

$125K - $255K/yr

Collaborates with the other Segment Data Offices on data matters that cross-business segments and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

First American

$20.34 - $27.12/hr

Data entry/typing skills * Standard MS skill set * Investigative / research skills * Verbal and ... 12 Hourly, Remote This hiring range is a reasonable estimate of the base pay range for this ...

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Remote Blue Cross Data Entry information

What is a remote Blue Cross data entry?

A Remote Blue Cross Data Entry job involves entering, updating, and maintaining healthcare and insurance information for Blue Cross customers from a remote location, usually from home. Employees in this role are responsible for accurately inputting data from claims, applications, or other documents into computer systems. Attention to detail and a good understanding of data privacy policies are essential. The position typically requires proficiency with data entry software and may involve working with sensitive health information. Remote positions offer flexibility but also require good organizational and time management skills.

What are the key skills and qualifications needed to thrive as a remote Blue Cross data entry specialist?

To thrive as a Remote Blue Cross Data Entry Specialist, you need strong attention to detail, accuracy in data input, and a high school diploma or equivalent. Familiarity with Blue Cross systems, data entry software, and Microsoft Office Suite is typically required. Excellent time management, reliability, and clear communication are key soft skills for excelling in a remote environment. These abilities ensure accurate data processing, compliance with healthcare regulations, and effective remote collaboration.

What are some common challenges faced when working as a remote Blue Cross data entry specialist, and how can they be managed?

Remote Blue Cross data entry specialists may encounter challenges like maintaining data accuracy while working independently, managing time efficiently without direct supervision, and staying updated with frequently changing insurance guidelines. To manage these, it’s important to set a structured daily routine, utilize company-provided resources for clarification on policies, and maintain open communication with supervisors and team members through virtual meetings or chat tools. Leveraging available training and staying organized can help ensure high-quality work and reduce errors.

What is the difference between Remote Blue Cross Data Entry vs Remote Medical Billing Clerk?

AspectRemote Blue Cross Data EntryRemote Medical Billing Clerk
CredentialsBasic computer skills, data entry experienceMedical coding certification often preferred
Work EnvironmentHome-based, flexible hoursHome-based or office, may require specific software
Industry UsageHealth insurance companies, Blue Cross organizationsHealthcare providers, insurance companies
Job FocusInputting data, maintaining recordsProcessing claims, billing, coding

Remote Blue Cross Data Entry primarily involves inputting and managing data for Blue Cross health insurance providers, focusing on accuracy and speed. In contrast, Remote Medical Billing Clerks handle billing and claims processing, often requiring medical coding knowledge. Both roles are remote, but their specific tasks and certifications differ, catering to different aspects of healthcare administration.

What are popular job titles related to Remote Blue Cross Data Entry jobs in Minnesota?

For Remote Blue Cross Data Entry jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Blue Cross Data Entry jobs in Minnesota look for?

The top searched job categories for Remote Blue Cross Data Entry jobs in Minnesota are:

What cities in Minnesota are hiring for Remote Blue Cross Data Entry jobs?

Cities in Minnesota with the most Remote Blue Cross Data Entry job openings:

Remote Blue Cross Data Entry jobs near you

Principal Data Scientist - Remote

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Re-posted 25 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers

Job description

At UnitedHealthcare, we're simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together
As a Principal Data Scientist within the Optum Technology team supporting UHC Technology, you will lead the design, development, and deployment of advanced machine learning and generative AI solutions. In this role, you will define end-to-end ML architecture, select appropriate tools and frameworks, drive proof-of-concept experiments, and guide engineering teams in productionizing scalable AI services. You will balance architectural leadership with hands-on execution across complex initiatives, establishing best practices for model governance, reproducibility, and security to drive healthcare innovation.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design, develop, and deploy scalable, production-grade AI solutions to address complex business challenges while embedding responsible AI principles, fairness, transparency, and accountability throughout the model development lifecycle
  • Lead solution architecture and hands-on development across complex AI/ML initiatives using traditional ML, deep learning, and modern LLM-based approaches
  • Lead proof-of-concept experiments in generative AI (transformers, GANs, diffusion models) and evaluate emerging tools, research, and frameworks to drive strategic innovation
  • Collaborate with research, data engineering, software engineering, and product teams to translate cutting-edge AI advancements into scalable, production-ready capabilities
  • Define and establish enterprise best practices for model governance, versioning, reproducibility, security, and cloud-native MLOps pipelines
  • Provide technical guidance, architectural design reviews, and mentorship to junior engineers and data scientists without formal people management duties
  • Document architecture designs, technical proposals, and recommendations, presenting findings directly to cross-functional stakeholders and leadership

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 10+ years of experience designing, building, and deploying production machine learning solutions
  • 3+ years of experience building Generative AI applications using LLMs and orchestration frameworks such as LangChain and/or LangGraph
  • Deep expertise in either NLP or Computer Vision with multiple years of hands-on solution ownership in that domain
  • Proven solid foundation in core ML and statistical methods (supervised/unsupervised learning, regression, classification, clustering, time series, Bayesian modeling) alongside substantive deep learning experience
  • Demonstrated experience with cloud ML services and infrastructure design on at least one major cloud platform (AWS, Azure, or GCP), including containerization (Docker/Kubernetes) and MLOps (CI/CD, model registry, monitoring)
  • Proven track record of successfully moving models from research/POC phase into production at scale
  • Hands-on programming proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
  • Demonstrated solid background in probability, linear algebra, and statistical inferenc
  • Demonstrated problem-solving ability with clear verbal and written communication skills

Preferred Qualifications:
  • Experience working with healthcare data, clinical systems, or U.S.-based healthcare environments
  • Practical experience fine-tuning generative models (e.g., GPT, BERT, Stable Diffusion, or custom architectures)
  • Experience with MLOps tools such as MLflow, Kubeflow, TFX, or Airflow
  • Familiarity with big data technologies including Apache Spark, Hadoop, or Dask
  • Knowledge of data visualization tools (Tableau, Power BI) and dashboard design

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 to $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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