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Remote Data Annotation Analyst Jobs in South Carolina

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity. The successful candidate ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

... of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity. The successful candidate ...

... of remote sensing and geospatial data and services. The ideal Geospatial Analyst will be located in the Charleston, SC area and will be able to work in a hybrid capacity. The successful candidate ...

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

... data for AnMed and affiliated facilities. * Demonstrates technical competence in navigating through the EMR and other software programs, onsite and in remote settings, with minimal assistance.

Current remote and field-based Unum employees may apply and will be considered in accordance with ... data assets for ad-hoc analyses and larger studies. Apply validation, aggregation, and ...

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

Remote /hybrid flexibility. Position Overview We are seeking a highly capable Data Engineer to ... Develop data structures and governance models that support analytics, reporting, and future AI ...

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0242661 Location: Langley AFB,VA,US Share job via: Share Data ... You Have: * 4+ years of experience with data exploration, data cleaning, data analysis, data ...

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Remote Data Annotation Analyst information

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the most commonly searched types of Data Annotation Analyst jobs in South Carolina?

The most popular types of Data Annotation Analyst jobs in South Carolina are:

What are popular job titles related to Remote Data Annotation Analyst jobs in South Carolina?

For Remote Data Annotation Analyst jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Data Annotation Analyst jobs in South Carolina look for?

The top searched job categories for Remote Data Annotation Analyst jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Data Annotation Analyst jobs?

Cities in South Carolina with the most Remote Data Annotation Analyst job openings:

Data Analyst - Logistics/Sourcing

Kelly Services

Greenville, SC • Remote

$24 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Data Analyst – Logistics/Sourcing

Company: GE Vernova
Location: Remote
Schedule: Monday–Friday | 8:00 AM–5:00 PM EST

Pay: $24-$26/hr

Location Note: This position is fully remote. Candidates located within a reasonable distance of Greenville, SC or Schenectady, NY are preferred for occasional onsite meetings or conferences, but proximity is not required.

Position Overview

GE Vernova is seeking an experienced Data Analyst – Logistics/Sourcing to provide high-level analytical support to the Wind Outbound team. This role will use logistics, sourcing, and financial data to identify trends, control transportation costs, improve operational performance, and support strategic supply chain decisions.

The ideal candidate has strong analytical skills, advanced Excel expertise, and experience turning complex datasets into clear, actionable business insights.

Key Responsibilities
  • Market & Pricing Analysis: Monitor logistics market trends and transportation pricing. Develop forecasts, evaluate market competitiveness, and identify cost-saving opportunities.

  • Reporting & Dashboards: Create and maintain dashboards that track transportation costs, service performance, utilization, and savings. Prepare daily, weekly, monthly, and annual reports.

  • Cost-Benefit Analysis: Develop financial models and perform cost-benefit analyses to support transportation strategies and supply chain optimization initiatives.

  • Data Auditing & Accuracy: Review logistics data for accuracy, identify anomalies or discrepancies, and partner with internal teams to resolve issues.

  • Process Improvement: Identify opportunities to automate manual reporting and data processes to improve efficiency and accuracy.

  • Cross-Functional Collaboration: Work with internal teams to summarize project spend, evaluate logistics strategies, and communicate data-driven recommendations.

  • Budget & Strategic Planning: Provide analytical support for budgeting and assess the financial impact of operational and transportation changes.

Required Qualifications
  • 5+ years of experience in data analysis, supply chain reporting, financial analysis, or logistics analytics.

  • 2+ years of experience in logistics, supply chain, project management, or a related analytical field.

  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, and visualization.

  • Experience with data management and reporting tools; Access, SQL, and/or BI tools are preferred.

  • Strong written and verbal communication skills with the ability to present analytical findings to multiple levels of stakeholders.

  • Ability to manage large datasets while maintaining a high level of accuracy and attention to detail.

  • Fluent written and spoken English.

Preferred Qualifications
  • Bachelor’s degree in Finance, Accounting, Business Analytics, Supply Chain Management, or a related field.

  • Experience translating large and complex datasets into concise executive-level reports and recommendations.

  • Strong critical-thinking, analytical, and problem-solving abilities.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Quick learner who can adapt to new reporting systems, software, and analytical tools.

  • Proactive approach to identifying data issues, process improvements, and cost-saving opportunities.

Ideal Candidate

You are a detail-oriented analyst who enjoys transforming data into meaningful business insights. You understand how logistics and transportation decisions impact costs and overall supply chain performance, and you can confidently communicate your findings to both technical and non-technical stakeholders.


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