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Remote Data Entry Home Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

... to home? Will your career be a deep dive into what you love, or a series of new teams and new ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

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 ...

General Motors

Data Scientist

Warren, MI · On-site +1

This includes direct company sponsorship, entry of GM as the immigration employer of record on a ... Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you ...

TEKsystems

Sales Support Representative

Grand Rapids, MI · Remote

$15/hr

This is a fully remote position ; however, candidates must reside in the Grand Rapids, Michigan ... Experience with data entry, order processing, or administrative support * Strong computer skills ...

New

TEKsystems

Sales Support Representative

Grand Rapids, MI · Remote

$15/hr

This is a fully remote position ; however, candidates must reside in the Grand Rapids, Michigan ... Experience with data entry, order processing, or administrative support * Strong computer skills ...

New

CSAA

$39.50 - $54.50/hr

... Arkansas - Home Teleworkers, California - Home Teleworkers, Colorado - Home Teleworkers ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

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All JobsData Entry Home JobsRemote Data Entry Home JobsRemote Data Entry Home Jobs in Michigan

Remote Data Entry Home information

See Michigan salary details

$9

$16

$24

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

As of Sep 7, 2026, the average hourly pay for remote data entry home 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 home job?

Remote data entry home jobs involve entering, updating, or managing data from the comfort of your own home. These positions typically require you to input information into databases, spreadsheets, or other software systems for companies or organizations. They often require attention to detail, basic computer skills, and a reliable internet connection. Many remote data entry roles are flexible, allowing you to set your own schedule, making them ideal for those seeking work-from-home opportunities.

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

To thrive as a Remote Data Entry professional, you need strong typing skills, attention to detail, and proficiency with spreadsheets and database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and various data management systems is common and often required. Self-motivation, time management, and reliable communication are vital soft skills for excelling in a remote environment. These skills and qualities are crucial for ensuring accurate, timely data input and effective workflow while working independently.

What are some common challenges faced while working as a remote data entry professional from home, and how can they be managed?

One of the main challenges in remote data entry is maintaining focus and accuracy when working independently, especially in a home environment with potential distractions. Setting up a dedicated workspace, following a structured daily schedule, and using productivity tools can help overcome these challenges. Additionally, remote data entry professionals must be diligent about data security and confidentiality, so following company protocols and using secure networks is essential. Regular communication with your team and supervisors also helps clarify expectations and address any issues promptly.

What is the difference between Remote Data Entry Home vs Remote Data Entry Clerk?

AspectRemote Data Entry HomeRemote Data Entry Clerk
CredentialsBasic computer skills, high school diplomaBasic computer skills, high school diploma
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageCommon in administrative and data management sectorsCommon in administrative, healthcare, and finance sectors
Job ResponsibilitiesInputting data, verifying accuracyInputting data, maintaining records, quality checks

Remote Data Entry Home and Remote Data Entry Clerk roles share similar credentials and work environments, often overlapping in administrative sectors. The main difference lies in job responsibilities, with clerks typically performing more detailed record-keeping and quality checks. Both roles are suitable for individuals seeking flexible, home-based data entry work.

How to work as a remote data entry home?

To work as a remote data entry professional, you should have strong typing skills, attention to detail, and proficiency with spreadsheet or database software. Many roles require a reliable internet connection, a computer, and sometimes basic knowledge of data management tools. Applying through online job platforms and demonstrating accuracy and efficiency can help secure such positions.

What are popular job titles related to Remote Data Entry Home jobs in Michigan?

For Remote Data Entry Home jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Entry Home jobs in Michigan look for?

The top searched job categories for Remote Data Entry Home jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Entry Home jobs?

Cities in Michigan with the most Remote Data Entry Home job openings:

Remote Data Entry Home jobs near you
Infographic showing various Remote Data Entry Home job openings in Michigan as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $35,303 per year, or $17 per hour.

Data Scientist

Ford Motor Company

Dearborn, MI • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 24 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, enterprise data integration, and applied analytics to enable data-driven decision-making across complex business workflows.

Key responsibilities include:

  • Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

  • Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python.

  • Performing data reconciliation, fuzzy matching, and standardization across inconsistent source systems to ensure data quality and analytical integrity.

  • Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to enable business-facing access to decision models.

  • Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically aligned data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to enable scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical enterprise data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

  • Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

  • 3+ years of experience developing analytical or optimization models in Python.

  • Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g., BigQuery, GCS).

  • Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

  • Experience integrating and standardizing heterogeneous enterprise datasets.

  • Familiarity with containerization concepts (e.g., Docker) and deploying lightweight applications or services in a cloud environment.

  • Ability to translate business problems into structured analytical frameworks.

  • Strong written and verbal communication skills with experience working cross-functionally.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
 
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week.
 
*Visa Sponsorship IS provided for this specific role*
*Relocation assistance IS provided for this specific role*
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Remote
#LI-DS2 
 
SG7-8

  • Design, develop, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

  • Translate complex business problems into structured analytical and optimization frameworks.

  • Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous enterprise data sources.

  • Perform data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical integrity.

  • Develop lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

  • Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

  • Partner with cross-functional stakeholders to define requirements and validate outputs.

  • Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

  • Document modeling assumptions, data transformations, and system dependencies to enable reproducibility and reuse.

  • Continuously improve model performance, data quality, and deployment efficiency across decision systems.

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