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Remote Data Entry Operator Jobs in Michigan (NOW HIRING)

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We're looking for a ...

Harris

$187/hr

This is a Part-Time remote position requiring no travel. This is a 1099 Contractor position. This ... Possess a high-quality of data entry skills with the ability to multi-task. * Comfortable with ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... designing and operating production grade data pipelines. * 3+ years of hands-on Snowflake ...

ClickOrlando

Digital Campaign Specialist

Detroit, MI · On-site +1

Remote in one of GMG's markets Detroit, MI; Houston or San Antonio TX; Jacksonville or Orlando, FL ... Map data connections in TapClicks for Client Reporting Dashboard setup * Regular monitoring of ...

CSAA

... Data Science, Technology, Actuarial, Legal, and Compliance - the Product Manager III envisions ... Operating with broad autonomy, the Product Manager III shapes strategic direction and informs ...

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

Remote Data Entry Operator information

See Michigan salary details

$8

$18

$37

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

As of Jul 14, 2026, the average hourly pay for remote data entry operator in Michigan is $18.12, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $18.65 per hour, depending on experience, location, and employer.

Can I get a remote data entry job?

Yes, remote data entry operator positions are available and often require basic computer skills, attention to detail, and familiarity with data management tools like spreadsheets or databases. These jobs typically offer flexible schedules and can be found on various job boards and company websites.

How much does Amazon pay for remote data entry?

Amazon typically does not hire for remote data entry operator roles directly; however, data entry positions in general pay between $10 and $20 per hour depending on experience and location. Remote data entry jobs often require basic computer skills and attention to detail, with pay rates varying by employer and project complexity.

What jobs pay 4000 a week without a degree?

Remote Data Entry Operators typically do not earn $4,000 a week; most earn lower wages. High-paying roles that can reach this level without a degree often involve sales, real estate, or specialized freelance work, but they usually require significant experience, skills, or certifications. Such earnings are uncommon in standard data entry positions without additional qualifications or commission-based incentives.

How to make $1000 a week remote?

A remote data entry operator can earn $1000 a week by working multiple part-time or freelance positions, increasing hourly rates through specialized skills, or taking on high-volume projects. Building efficiency with tools like spreadsheets and data management software can also help maximize earnings within a flexible schedule.

What are the key skills and qualifications needed to thrive in the Remote Data Entry Operator position, and why are they important?

To thrive as a Remote Data Entry Operator, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Experience with spreadsheet software such as Microsoft Excel or Google Sheets, as well as familiarity with data management systems and sometimes basic knowledge of CRM platforms, is often required. Exceptional organizational skills, self-motivation, and effective time management help professionals stand out in this role. These abilities ensure precise and timely data processing, which supports overall business efficiency and reliability.

What does a typical day look like for a Remote Data Entry Operator?

A typical day for a Remote Data Entry Operator involves receiving data from different sources, accurately inputting information into company databases, and verifying data for completeness and correctness. Operators may regularly communicate with team members or supervisors via email or messaging platforms to clarify details or resolve discrepancies. While most tasks are independent, you’ll often adhere to set deadlines and may need to handle repetitive workloads efficiently. Flexibility in workflow, regular check-ins, and a focus on accuracy are part of daily expectations. Over time, strong performers may be given additional responsibilities or opportunities to transition into roles such as data analyst or supervisor.

What is a Remote Data Entry Operator job?

A Remote Data Entry Operator is responsible for inputting, updating, and managing data in digital systems from a remote location. This role typically involves entering information from various sources, ensuring accuracy, and maintaining data integrity. It requires strong typing skills, attention to detail, and proficiency with data entry software or spreadsheets. Many businesses rely on Remote Data Entry Operators to handle administrative tasks efficiently without requiring an in-office presence.

What are the most commonly searched types of Data Entry Operator jobs in Michigan? The most popular types of Data Entry Operator jobs in Michigan are:
What are popular job titles related to Remote Data Entry Operator jobs in Michigan? For Remote Data Entry Operator jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Operator jobs in Michigan look for? The top searched job categories for Remote Data Entry Operator jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Entry Operator jobs? Cities in Michigan with the most Remote Data Entry Operator job openings:
Remote Data Entry Operator jobs near you
Principal Data Engineer

Principal Data Engineer

Utilidata

Ann Arbor, MI • On-site, Remote

$170K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data systems that underpin our products, make critical design decisions about how we collect, process, store, and serve data at scale, and raise the bar for the entire team through your judgment, communication, and hands-on engineering. You'll operate at the intersection of deep technical work and cross-functional leadership, translating product goals into sound engineering plans and guiding the team through ambiguity to deliver real results. You'll own the component-level architecture for the data platform while working in close partnership with the platform architect to ensure alignment with the end-to-end platform vision and architecture. You'll join a diverse team of experts who are mission-driven, collaborative, and adaptive, and guide the team through the challenges of building reliable, performant data infrastructure in a fast-moving environment.
Responsibilities
  • Architect and contribute directly to core platform components, including ingestion pipelines, transformation frameworks, data models, and orchestration
  • Define and evolve the multi-quarter technical roadmap for the data platform, balancing new capabilities, reliability investments, and technical debt reduction in alignment with the broader platform architecture
  • Drive evaluation and adoption of tooling across the stack, ensuring choices are well-reasoned and aligned with where the platform needs to go
  • Lead architecture reviews and design discussions, ensuring decisions are well-reasoned, documented, and understood by the team
  • Cut through ambiguity by asking the right questions early about data quality, schema evolution, and downstream dependencies, and identify risks before they become crises
  • Translate complex data infrastructure decisions for non-technical stakeholders without oversimplifying, and break vague product requirements into clear engineering tasks and acceptance criteria
  • Partner closely with data science leads and cross-functional teams to surface dependencies and constraints early and prioritize improvements that unlock productivity
  • Run a lightweight but effective backlog and planning process, keeping the team focused and unblocked
  • Mentor and grow engineers with an emphasis on raising technical depth - delegate meaningful work, pair on hard problems, and create opportunities for others to stretch
  • Set code review standards, testing philosophy, and engineering best practices that make the whole team better, including data validation, pipeline testing, and schema management
  • Ensure data systems work reliably in production - instrumented, observable, and operable, with clear SLAs on freshness, completeness, and accuracy

Minimum Qualifications
  • At least 8 years of experience in data engineering, with 2+ years operating at a principal or staff level
  • Proven ability to design and evaluate end-to-end data platforms across ingestion, transformation, storage, and serving, with clean contracts between layers
  • Deep understanding of data pipeline design, with fluency in the patterns and tradeoffs of batch and streaming pipelines at scale
  • Strong understanding of data modeling and storage strategies
  • Strong software engineering fundamentals, with the depth to evaluate code quality and set architectural standards
  • Strong experience with cloud data infrastructure (AWS, GCP, or Azure) and the surrounding ecosystem
  • Demonstrated ability to lead technical teams, set direction, and grow engineers without relying on formal authority

Enhanced Qualifications (Nice to Have)
  • Experience with streaming architectures (Spark Structured Streaming, Delta Live Tables, Kafka)
  • Familiarity with data quality and observability tooling (Great Expectations, Monte Carlo, Soda, or similar)
  • Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI)
  • Experience with data collection from edge devices
  • Experience supporting ML workflows, including feature engineering pipelines, feature stores, or model input data preparation

Salary Range: $170,000 to $210,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming, and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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