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Remote Data Annotation Analyst Jobs in Columbia, SC

The HR Coordination Specialist - REMOTE serves as a critical operational and advisory bridge for ... Generate routine workforce data integrity reports,utilizingsystems analytics to flag administrative ...

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Remote Data Annotation Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do remote data annotation analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data annotation analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

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 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 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 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.
What are the most commonly searched types of Data Annotation Analyst jobs in Columbia, SC? The most popular types of Data Annotation Analyst jobs in Columbia, SC are:
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Senior Application Developer (CA Plex) - Remote

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

$88K - $122K/yr

Contractor

Re-posted 27 days ago


Job description

Senior Application Developer (CA Plex) Location: Remote Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 15+ Years Candidate location: No SC residency required. Candidate must reside in lower 48 states (Continental US) and comfortable working EST time zone hours. Project Scope: The project involves supporting and enhancing a mission-critical Case Management and Juror Management system built on CA Plex.

The consultant will maintain existing functionality, resolve production issues, develop enhancements, support SQL Server databases, and manage system integrations with external agencies. The role also includes performance tuning, data corrections, documentation, and supporting ongoing modernization efforts to ensure system stability and reliability. Key Responsibilities: Maintain and support enterprise Case Management and Juror Management applications built on CA Plex.

Troubleshoot production issues, perform root cause analysis, and implement long-term solutions. Design, develop, and implement enhancements to business rules, workflows, screens, batch processes, and reports. Work within the CA Plex development environment to update objects, functions, and relationships.

Develop and optimize MS SQL Server queries, stored procedures, and data fixes. Support integrations with external agencies and third-party systems. Assist with reporting, data extracts, and data warehouse support.

Create technical documentation and provide knowledge transfer to internal teams. Required Skills & Experience: 15+ years of CA Plex development experience. 15+ years of experience supporting Judicial Case Management Systems.

15+ years of Microsoft SQL Server experience. 10+ years of experience developing interfaces that exchange court data with external agencies. 10+ years of experience deploying and supporting applications in distributed environments.

10+ years of technical documentation experience. Preferred Skills: Experience with court or judicial systems. Experience with C++, Java, or .NET development

API integration experience. Data warehousing experience. Experience with Always On Availability Groups.

Azure DevOps experience. Education: Bachelor's Degree in Computer Science, Information Systems, or a related field (or equivalent experience).