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Remote Data Entry Numerical Jobs in Muskegon, MI

Remote Data Entry Numerical information

See Muskegon, MI salary details

$9

$17

$25

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

As of Aug 9, 2026, the average hourly pay for remote data entry numerical in Muskegon, MI is $17.59, according to ZipRecruiter salary data. Most workers in this role earn between $14.76 and $19.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote data entry numerical professionals, and how can they be addressed?

Remote data entry numerical professionals often encounter challenges such as maintaining accuracy when inputting large volumes of numerical data and staying focused in a home environment. To address these, it's important to establish a distraction-free workspace, use reliable software tools, and periodically double-check entries for errors. Regular communication with your team and supervisors also helps clarify data requirements and resolve ambiguities quickly, ensuring consistently high-quality results.

What is the difference between Remote Data Entry Numerical vs Remote Data Entry Text?

AspectRemote Data Entry NumericalRemote Data Entry Text
Required SkillsTyping numbers, data accuracy, basic spreadsheet useTyping text, data accuracy, basic spreadsheet use
Work EnvironmentHome-based, computer-focusedHome-based, computer-focused
Common IndustriesFinance, healthcare, researchCustomer service, marketing, administrative
CertificationsNone typically requiredNone typically required

Remote Data Entry Numerical involves inputting numerical data accurately, often in finance or healthcare sectors. Remote Data Entry Text focuses on entering textual information, common in administrative or customer service roles. Both jobs share similar work environments and skill requirements but differ mainly in the type of data processed.

What is a remote data entry numerical?

A Remote Data Entry Numerical job involves inputting, updating, and managing numerical data into digital databases or spreadsheets from a remote location, typically from home. Workers in this role ensure accuracy and consistency in handling numbers, such as sales figures, inventory records, or financial data. They use various software tools and often must meet specific deadlines and data quality standards. Attention to detail, proficiency with spreadsheets, and basic computer skills are important for this job. Remote data entry roles offer flexibility but require self-motivation and reliability.

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

To thrive as a Remote Data Entry Numerical specialist, you need excellent attention to detail, fast and accurate typing skills, and basic math proficiency, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software (like Microsoft Excel or Google Sheets), data management systems, and sometimes specific industry platforms is crucial. Strong organizational abilities, self-motivation, and time management set top performers apart in remote settings. These skills ensure data accuracy, meet deadlines, and maintain workflow efficiency, which are vital for successful remote data operations.
What are popular job titles related to Remote Data Entry Numerical jobs in Muskegon, MI? For Remote Data Entry Numerical jobs in Muskegon, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Numerical jobs in Muskegon, MI look for? The top searched job categories for Remote Data Entry Numerical jobs in Muskegon, MI are:
What cities near Muskegon, MI are hiring for Remote Data Entry Numerical jobs? Cities near Muskegon, MI with the most Remote Data Entry Numerical job openings:

Research Intern on Generative and Protective AI for Content Creation

Sony

Allendale, MI • On-site, Remote

$50/hr

Full-time

Posted 9 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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