2

Remote Worldwide Data Entry Jobs in Remote, OR (NOW HIRING)

Data Scientist

OR · On-site +1

... worldwide. SOSi is seeking a Data Scientist to support mission requirements for a structured ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

... security missions worldwide. SOSi is seeking a Senior Data Scientist to support mission ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Be Seen First

Remote position (Considered hybrid but it is remote 5 days a week, with the possibility to have to ... Ability to perform repetitive data entry tasks; manual dexterity. * Effective communication skills ...

Wyndham Hotels & Resorts is now seeking a Manager, Franchise Sales to join our team at the Remote ... Ability to understand market data and identify trends to develop lead generation plans that will ...

Wyndham Hotels & Resorts is now seeking a Manager, Franchise Sales to join our team at the Remote ... Ability to understand market data and identify trends to develop lead generation plans that will ...

Project Manager

OR · Remote

$84K - $112K/yr

... order entry, workflow and inventory systems as well as support data marts / databases. * Use ... Bonus Structure #LI-Remote Requisition #: 342552 Life at Lumen Life at Lumen is human and connected ...

Clinical Specialist (Orthotics - PCS)

OR · On-site +1

$105K - $115K/yr

With more than 10,000 employees worldwide and 1,000 across North America, we are dedicated to ... S. Compensation Data Salary Disclosure: $105,000-$115,000 base salary, plus bonus eligibility.

Remote Worldwide Data Entry information

See Remote, OR salary details

$11

$19

$28

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

As of Jul 18, 2026, the average hourly pay for remote worldwide data entry in Remote, OR is $19.45, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are some common challenges of working as a Remote Worldwide Data Entry professional, and how can I overcome them?

A frequent challenge in remote data entry is staying focused and managing distractions, especially when working from home or across varying time zones. To overcome this, it's important to establish a consistent work routine, set clear daily goals, and utilize productivity tools such as task managers or calendars. Communication can also be a hurdle, so making proactive use of collaboration platforms like Slack or email is key to staying connected with your team. By creating a dedicated workspace and maintaining regular updates with supervisors or colleagues, you can ensure consistent performance and foster a strong sense of accountability, even when working remotely.

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

To excel as a Remote Worldwide Data Entry professional, you need strong typing skills, attention to detail, and proficiency with common office software such as Microsoft Excel or Google Sheets; a high school diploma or equivalent is typically required. Familiarity with cloud-based data management systems, customer databases, and sometimes basic knowledge of data protection regulations is highly valued. Outstanding time management, self-motivation, and clear communication skills help remote workers stay accountable and collaborate effectively. These competencies are crucial for maintaining data accuracy, meeting deadlines, and ensuring smooth remote operations across diverse time zones.

What is a Remote Worldwide Data Entry job?

A Remote Worldwide Data Entry job involves entering, updating, or managing data from various sources into computer systems or databases while working from any location with internet access. Tasks may include typing, transcribing, verifying information, and organizing data for businesses, organizations, or clients. This role requires attention to detail, basic computer skills, and often proficiency with software like spreadsheets or data management platforms. Many companies offer these roles as freelance, part-time, or full-time positions.

What are popular job titles related to Remote Worldwide Data Entry jobs in Remote, OR? For Remote Worldwide Data Entry jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Remote Worldwide Data Entry jobs in Remote, OR look for? The top searched job categories for Remote Worldwide Data Entry jobs in Remote, OR are:
What cities near Remote, OR are hiring for Remote Worldwide Data Entry jobs? Cities near Remote, OR with the most Remote Worldwide Data Entry job openings:
Infographic showing various Remote Worldwide Data Entry job openings in Remote, OR as of July 2026, with employment types broken down into 57% Full Time, 25% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,465 per year, or $19.5 per hour.
Data Scientist

Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 2 days ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling.
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:
  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.