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Remote Ten Key Data Entry Jobs in Detroit, MI (NOW HIRING)

Key responsibilities include: * Developing and maintaining Python-based optimization models to ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Document Clerk

Troy, MI · On-site +1

$17/hr

This position is remote after the first day. Candidates must have a reliable home workspace and the ... Data entry and/or administrative experience a plus * Strong attention to detail and problem-solving ...

Remote Insurance Agent

Detroit, MI · Remote

$60K - $110K/yr

Key Benefits * Flexible fully remote schedule * Free pre-qualified appointments provided weekly ... 6-10) * Comprehensive training, scripts, and one-on-one mentorship * Leadership advancement and ...

SR. MGR SALES (Remote)

Troy, MI · On-site +1

$160K - $220K/yr

This includes creating multiple strategic territory plans for Key and Global accounts to ensure ... Strong data analytical skills and logical thinking * Strong communication abilities (written and ...

New

Showing results 21-40

Remote Ten Key Data Entry information

See Detroit, MI salary details

$10

$19

$28

How much do remote ten key data entry jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote ten key data entry in Detroit, MI is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.63 per hour, depending on experience, location, and employer.

What is a remote ten key data entry?

A Remote Ten Key Data Entry job involves entering numerical information into databases or spreadsheets using a numeric keypad, typically found on a computer keyboard or external device. The work is performed remotely, allowing employees to complete tasks from home or another location outside of a traditional office. Accuracy and speed are essential, as the role often includes processing invoices, financial records, or other numeric data. Remote Ten Key Data Entry professionals usually work for companies in industries such as finance, healthcare, or retail. Strong attention to detail and proficiency with data entry software are important skills for this position.

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

To thrive as a Remote Ten Key Data Entry Operator, you need excellent numerical data entry skills, fast and accurate ten-key typing ability, and a high school diploma or equivalent. Familiarity with office software such as Microsoft Excel, data management systems, and sometimes experience with specific accounting or inventory platforms is typical. Attention to detail, time management, and the ability to work independently are critical soft skills for this role. These competencies ensure error-free data processing, efficient workflow, and reliability in a remote work environment.

What are some common challenges faced in a remote ten key data entry role, and how can they be managed?

Remote ten key data entry professionals often face challenges such as maintaining accuracy during repetitive tasks and managing distractions at home. Staying focused and setting up a dedicated workspace can help minimize errors and improve productivity. Additionally, regularly double-checking work and using ergonomic equipment can reduce fatigue and prevent mistakes. Communication with supervisors and team members is also important to clarify expectations and ensure data integrity.

What is the difference between Remote Ten Key Data Entry vs Remote Data Entry Clerk?

AspectRemote Ten Key Data EntryRemote Data Entry Clerk
CredentialsBasic data entry skills, familiarity with ten key padBasic data entry skills, possibly some software knowledge
Work EnvironmentHome or remote office, computer-basedHome or remote office, computer-based
Employer & IndustryBusinesses needing numeric data input, finance, healthcareVarious industries requiring data input, admin, healthcare
Search & Comparison IntentPeople comparing numeric data entry rolesPeople looking for general data entry jobs

Remote Ten Key Data Entry focuses specifically on numeric keypad input, often requiring speed and accuracy with numbers. Remote Data Entry Clerk covers a broader range of data input tasks, including alphanumeric data. Both roles are remote, but the Ten Key Data Entry emphasizes numeric skills, making it ideal for roles in finance or healthcare where numeric accuracy is critical.

What are the most commonly searched types of Ten Key Data Entry jobs in Detroit, MI?

The most popular types of Ten Key Data Entry jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Ten Key Data Entry jobs?

Cities near Detroit, MI with the most Remote Ten Key Data Entry job openings:

Infographic showing various Remote Ten Key Data Entry job openings in Detroit, MI as of August 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,098 per year, or $19.3 per hour.

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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