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Remote Data Processing Jobs in South Carolina (NOW HIRING)

micro1 AI

Senior Corporate Accountant - Remote

Charleston, SC · Remote

$110K - $150K/yr

  • Medical

  • Retirement

  • PTO

... financial data supports confident decision-making at every level of the organization. Key ... Own the end-to-end month-end close process, including preparation and posting of journal entries ...

micro1 AI

Senior Corporate Accountant - Remote

Columbia, SC · Remote

$110K - $150K/yr

  • Medical

  • Retirement

  • PTO

... financial data supports confident decision-making at every level of the organization. Key ... Own the end-to-end month-end close process, including preparation and posting of journal entries ...

Promoted2

Remote Insurance Agent

Charleston, SC · Remote

$60K - $110K/yr

Apply today to start your interview process this week and join one of the fastest-growing teams in ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Promoted2

Remote Insurance Agent

Columbia, SC · Remote

$60K - $110K/yr

Apply today to start your interview process this week and join one of the fastest-growing teams in ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

Promoted2

Remote Insurance Agent

Greenville, SC · Remote

$60K - $110K/yr

Apply today to start your interview process this week and join one of the fastest-growing teams in ... with applicable data protection laws. (US only) 1099=independent contractor, not employee.

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Showing results 21-40

All JobsData Processing JobsRemote Data Processing JobsRemote Data Processing Jobs in South Carolina

Remote Data Processing information

See South Carolina salary details

$11

$18

$32

How much do remote data processing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data processing in South Carolina is $18.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $20.72 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

What are the key skills and qualifications needed to thrive as a remote data processing specialist?

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.
What are the most commonly searched types of Data Processing jobs in South Carolina? The most popular types of Data Processing jobs in South Carolina are:
What are popular job titles related to Remote Data Processing jobs in South Carolina? For Remote Data Processing jobs in South Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Data Processing jobs in South Carolina look for? The top searched job categories for Remote Data Processing jobs in South Carolina are:
What cities in South Carolina are hiring for Remote Data Processing jobs? Cities in South Carolina with the most Remote Data Processing job openings:
Remote Data Processing jobs near you
Infographic showing various Remote Data Processing job openings in South Carolina as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $39,116 per year, or $18.8 per hour.

Medical Microbiology Consultant - Remote

micro1 AI

Charleston, SC • Remote

$70 - $90/hr

Part-time

Posted 15 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply