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Remote Data Entry Insurance Jobs in Michigan (NOW HIRING)

Inpatient Coder - Fully Remote

Flint, MI ยท On-site +1

$21.50 - $25.75/hr

Serves as a liaison between other departments in resolving complex problems associated with data entry and submission of diagnostic/procedural codes for reimbursement. * Maintains accurate diagnostic ...

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Remote Data Entry Insurance information

See Michigan salary details

$9

$16

$24

How much do remote data entry insurance jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote data entry insurance in Michigan is $16.97, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $19.09 per hour, depending on experience, location, and employer.

What is a Remote Data Entry Insurance job?

A Remote Data Entry Insurance job involves inputting, updating, and maintaining insurance-related data into digital systems while working from a location outside of a traditional office, such as from home. Responsibilities typically include entering policy information, claims details, and customer data accurately and efficiently. This role requires attention to detail, proficiency with data entry software, and a basic understanding of insurance terminology. Remote data entry positions offer flexibility and are ideal for individuals who are organized, self-motivated, and comfortable working independently.

What are some common challenges faced by remote data entry professionals in the insurance industry, and how can they be overcome?

Remote data entry specialists in the insurance sector often face challenges such as maintaining data accuracy, managing large volumes of sensitive information, and staying connected with team members. Adhering to strict quality control processes and regularly verifying entries can help ensure data integrity. Utilizing secure communication tools and participating in virtual check-ins with supervisors and colleagues can foster collaboration and address any questions promptly. Staying organized and following established workflows also helps manage workload efficiently.

What is the difference between Remote Data Entry Insurance vs Remote Claims Processor?

AspectRemote Data Entry InsuranceRemote Claims Processor
Required CredentialsHigh school diploma, basic computer skillsHigh school diploma, knowledge of insurance policies
Work EnvironmentHome-based, computer-focusedHome-based, customer service and data review
Industry UsageInsurance companies, data management firmsInsurance companies, healthcare providers
Common Search IntentData entry jobs in insuranceInsurance claims processing jobs

Remote Data Entry Insurance involves inputting insurance data into systems, focusing on accuracy and speed. Remote Claims Processors handle reviewing and processing insurance claims, often requiring knowledge of policies. Both roles are home-based and involve insurance industry work, but they differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as a Remote Data Entry Insurance professional, and why are they important?

To thrive as a Remote Data Entry Insurance professional, you need strong attention to detail, data accuracy, and familiarity with insurance terminology, typically supported by a high school diploma or equivalent. Proficiency with data entry software, spreadsheet tools like Microsoft Excel, and insurance management systems is commonly required. Excellent time management, self-motivation, and strong written communication skills help individuals excel in a remote environment. These competencies ensure accurate processing of insurance information, reduce errors, and support efficient remote operations.
What are the most commonly searched types of Data Entry Insurance jobs in Michigan? The most popular types of Data Entry Insurance jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Entry Insurance jobs? Cities in Michigan with the most Remote Data Entry Insurance job openings:
Principal Data Scientist (Remote)

Principal Data Scientist (Remote)

Emergent Holdings

Lansing, MI โ€ข On-site, Remote

Full-time

Re-posted 2 days ago


Job description


SUMMARY
AF Group is seeking a Principal Data Scientist with expertise in either Commercial Property or Personal Homeowners insurance to serve as an individual contributor and technical authority on applying advanced analytics and machine learning to complex business problems, including pricing, risk selection, and other underwriting challenges. This role owns the end-to-end analytical lifecycle, from problem formulation and model development through deployment, monitoring, and governance. Partners closely with Actuarial, MLOps, and IT to deliver scalable, production-ready solutions. The Principal Data Scientist ensures long-term model performance through rigorous validation, drift monitoring, and audit-ready documentation, while advancing analytical best practices and evaluating emerging techniques relevant to commercial P&C insurance.
RESPONSIBILITIES/TASKS:
  • Acquires, organizes, and cleanses structured and unstructured data.
  • Conducts in-depth analysis to uncover trends, risks, and business opportunities.
  • Applies statistical modeling, machine learning, and advanced analytics to develop predictive and prescriptive solutions.
  • Evaluate solution performance using statistically rigorous methods and measure the impact to business outcomes.
  • Collaborate with MLOps and IT partners to transition solution prototypes from pilot validation into production environments.
  • Ensures ongoing model health through post-deployment monitoring, drift detection, and audit-compliant governance practices.
  • Creates and communicates results to senior level audiences of varying backgrounds, using business-facing presentations, reports, and dashboards.
  • Author and maintain comprehensive technical documentation for data lineage, codebases, results, and production changes.
  • Provides technical and project guidance, including peer review of work, for data science team.
  • Leads the evaluation of new analytic tools and processes.
  • Drives investigation and adoption of advanced machine learning and AI innovations.

EDUCATION:
Bachelor's Degree in Data Science, Statistics, Mathematics, Operations Research, Actuarial Science, Computer Science, Engineering, Physics or related technical field required. Advanced degree preferred.
EXPERIENCE:
10 years of experience in data science or related advanced analytics domains, including research and teaching, with 3+ years of technical leadership.
REQUIRED SKILLS/KNOWLEDGE/ABILITIES
  • 3+ years of experience supporting underwriting functions, including loss modeling, for Commercial Property (preferred) or Personal Homeowners insurance.
  • Demonstrated expertise using Poisson, Gamma, and Tweedie distributions to build loss ratio, pure premium, and frequency-severity loss models for pricing.
  • Extensive experience leveraging supervised learning models (e.g., XGBoost, GLM, etc.) and unsupervised techniques (e.g., K-means, PCA, etc.) to solve complex data science problems.
  • Advanced Python programming skills supporting data science, including scikit-learn and pandas.
  • Proficient data wrangling and ETL abilities using SQL on relational databases.
  • Comfortable explaining machine learning models with partial dependence plots and SHAP values.
  • Ability to conduct experiments e.g., A/B Testing, to evaluate the causal impact of model-driven decisions.
  • Experience using version control tools such as Git and Azure DevOps.
  • Experience working in cloud computing environments such as Azure, AWS, GCP, etc.

PREFERRED SKILLS/KNOWLEDGE/ABILITIES
  • Experience supporting at least one other commercial or personal line outside of Property lines.
  • In-depth understanding of General Liability (aka Casualty), Workers Compensation, or Commercial Vehicle insurance.
  • Knowledge of actuarial concepts and terminology used in pricing and ratemaking.
  • Experience with Claims, Marketing, or Operations functions within P&C insurance settings.
  • Ability to develop Agentic AI solutions to drive autonomous decision-making and task orchestration.
  • Familiarity with causal modeling techniques such as Meta-learners, Causal Forest, Double ML, etc.
  • Knowledge of advanced neural net architectures like LSTM, CNN, Transformers, Graph NN, etc.
  • Understanding of NLP concepts such as topic modeling, Word2Vec, sentiment analysis, OCR, etc.
  • Experience programming in the R language.
  • Ability to build interactive dashboards using frameworks such as Plotly Dash, Power BI, Flask, etc.

ADDITIONAL INFORMATION:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. This job description does not constitute a contract for employment.
PAY RANGE:
"Actual compensation decision relies on the consideration of internal equity, candidate's skills and professional experience, geographic location, market and other potential factors. It is not standard practice for an offer to be at or near the top of the range, and therefore a reasonable estimate for this role is between $137,900 and $231,000."
We are an Equal Opportunity Employer. We will not tolerate discrimination or harassment in any form. Candidates for the position stated above are hired on an "at will" basis. Nothing herein is intended to create a contract.
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