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Remote Data Annotation Analyst Jobs in Maryland (NOW HIRING)

Moore

Data Analyst

Lanham, MD · Remote

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

New

Verawholehealth

Analyst II, Analytics

California, MD · Remote

$63K - $121K/yr

Summary We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you ... This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a ...

Verawholehealth

$63K - $121K/yr

Summary We are looking for a data-driven Analyst II, Analytics to join our team. In this role, you ... This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a ...

CSAA

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

CSAA

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

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Remote Data Annotation Analyst information

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 Maryland? The most popular types of Data Annotation Analyst jobs in Maryland are:
What are popular job titles related to Remote Data Annotation Analyst jobs in Maryland? For Remote Data Annotation Analyst jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation Analyst jobs in Maryland look for? The top searched job categories for Remote Data Annotation Analyst jobs in Maryland are:
What cities in Maryland are hiring for Remote Data Annotation Analyst jobs? Cities in Maryland with the most Remote Data Annotation Analyst job openings:
Remote Data Annotation Analyst jobs near you
Infographic showing various Remote Data Annotation Analyst job openings in Maryland as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Migration Analyst

Masai Technologies Corporation

Frederick, MD • Remote

$95K - $120K/yr

Full-time

Re-posted 27 days ago

Job description

MTC is based in Frederick, Maryland and provides systems integration services to the U.S. Federal Government by implementing both Cloud based ServiceNow platform as a service (PaaS) software and application plugin software, Nuvolo, for Integrated Workplace Management System (IWMS) functionality. The IWMS solution will meet the current and future needs of the Public Sector/federal agencies by providing critical administrative digitized workflow activities for Facilities Asset Management, Space Management, Capital Project Management, and other related workplace management business processes.  The Legacy Data Migration Analyst position detail is below. 
 
If You are interested and You qualify, please reply with all:   
1) updated Resume   2) W2 Salary Range  3) Availability day/times to interview  4) Best Contact phone#
 
Position: Data Migration Analyst Duties:
 
Duration:  2 – 7 years based upon renewal
 
Location:           Primarily a remote position with periodic quarterly onsite meetings in Frederick, MD and Bethesda, MD
 
Start:                    Immediate
 
 
Job Description: 
Perform Data analysis, data validation, and data migration and data integration analysis efforts with a focus on analyzing, verifying, and validating the requirements for moving data received from current Legacy NIH Systems data owner and performing Data Validation before data is loaded to the Service Now-Nuvolo application instance. Also, supporting the data analysis of data interface requirements for ongoing integration. 
 
Data will be provided by legacy system data owners and Data Analyst will support requirements elicitation, data mapping workshops, Agile Development Increments/Sprints and Demos, User Acceptance Testing, Training, and Production Deployments. Create / Update Data models and datasets based upon the ServiceNow-Nuvolo application design requirements.
 
Perform data management using manual and automated methods using Microsoft Excel for pre-import data tasks (data migrations, minor cleansing, and transformation) prior to loading into target ServiceNow-Nuvolo system. The Legacy System Data Owner is responsible for data cleaning including data formatting, normalization, duplicate removal, etc. 
 
Data Analyst provides data validation and minor corrections, and generates queries, reports, risk analysis, and other random tasks to support the project team. Must create Agile user stories describing requirements for data migration from legacy system