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Remote Data Annotation Analyst Jobs in Maryland (NOW HIRING)

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Econometrica specializes in research, econometric, analytical, and technical support for our ...

Manulife

Data Engineer

California, MD · On-site +1

$137K/yr

Discover hidden information using massive datasets and leveraging advanced data analytics and ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics ...

Booz Allen Hamilton, Inc.

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Analyze information to determine, recommend, and plan the development of a new application or ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

Spring 2027 Intern - Data Analytics

Adelphi, MD · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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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 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 Scientist

Bethesda, MD • On-site, Remote

Econometrica
Scientific Research and Development Services • 51 - 200 employees
Learn more about Econometricaexternal

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

Job Title
Data Scientist
Job Type
Full-time
Location
Bethesda Office - Bethesda, MD 20814 US (Primary)
Remote (Virtual) - US - US
Travel
Job Description
About Econometrica, Inc.
Econometrica, Inc., is a research and management organization committed to providing high-quality, cost-effective economic and analytical services for clients in the private and public sectors. Since its founding in 1998, Econometrica has been involved in complex, high-profile contracts for numerous Federal departments and agencies in the healthcare, education, transportation, energy, housing, and finance sectors. Econometrica specializes in research, econometric, analytical, and technical support for our clients, with an emphasis on data science, data analytics, statistics, economic analyses, and program implementation and evaluation services.
The Opportunity
Econometrica is seeking an experienced Data Scientist to support advanced data analytics services for various Federal agencies. The selected candidate will work alongside a multidisciplinary team of data scientists, data engineers, and stakeholders to design, implement, and maintain fraud identification methods and communicate results to technical and non-technical stakeholders.
Tasks may include the following:
  • Designing, implementing, and maintaining advanced AI systems and predictive models to identify financial fraud, improper payments, or non-compliance.
  • Developing and testing regression, classification, Bayesian, clustering, and ensemble models to identify anomalies, patterns, and predictive variables within large, complex datasets.
  • Performing data quality analysis on source tables to identify abnormalities or inconsistencies and developing repeatable processes for efficiently combining and analyzing large, structured and unstructured data sources.
  • Collaborating closely with criminal investigators to determine and execute analytical strategies supporting fraud investigations, while adhering to federal rules of criminal procedure governing protected information.
  • Integrating and scaling natural language processing (NLP) techniques-including OCR, semantic similarity algorithms, and large language models-to parse, clean, and analyze large corpora of unstructured or semi-structured text.
  • Manipulating and preparing data using Python and Pandas, including aggregating, merging, partitioning, and reshaping datasets in preparation for machine learning workflows.
  • Developing visualizations and dashboards to demonstrate methodological choices, outcomes, and predictive capabilities of machine learning models, and iteratively incorporating end-user feedback.
  • Documenting methodology, test models, and production models in compliance with evidentiary and recordkeeping requirements and preparing plain-language reports and executive summaries for both technical and non-technical audiences.
  • Working within modern cloud environments (Azure, AWS, or GCP) and coordinating with the Data Engineering team to ensure system architecture efficiently supports deployed machine learning models.
  • Creating programming and automation techniques (e.g., using Python, SQL, Power BI, Power Apps, and SharePoint) to improve analytic efficiency and expand the scope of analysis and reporting.

Education and Qualifications
Required Skills and Experience:
  • Five (5) or more years of hands-on experience designing, implementing, and maintaining advanced AI systems and predictive models, including both supervised and unsupervised methods.
  • Five (5) or more years of hands-on experience developing analytic rules and models using leading-edge analytic tools and best practices.
  • Five (5) or more years of hands-on experience developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
  • Three (3) or more years of hands-on experience providing data support for criminal investigations into financial fraud or abuse of government funds.
  • Three (3) or more years of hands-on experience manipulating data in Python, with required proficiency in Pandas.
  • Three (3) or more years of hands-on experience working in a modern cloud environment (Azure, AWS, or GCP).
  • Two (2) or more years of hands-on experience conducting advanced data analysis in SQL (SQL Server and PostgreSQL).
  • Two (2) or more years of hands-on experience developing and scaling NLP solutions.
  • Two (2) or more years of hands-on experience presenting methods and findings to both technical and non-technical stakeholders, orally and in written products and visualizations.
  • Ability to work effectively in a multidisciplinary team setting and to develop effective relationships with clients, consultants, and contractors.
  • Strong oral and written communication skills.
  • Ability to obtain and maintain public trust security clearance.

Desired Skills and Experience:
  • Experience integrating large language models (LLMs) and generative AI tools into analytics workflows.
  • Experience developing production-grade machine-learning workflows, including model validation, calibration, monitoring, versioning, retraining, and documentation.
  • Experience with Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage.
  • Certifications in cloud architecture, data science, machine learning, or related disciplines (Azure preferred).
  • Experience creating Power BI dashboards, visualizations, network graphs, interactive maps, or other forms of analytical storytelling.
  • Experience working on projects in a consulting environment, particularly supporting audits, investigations, or federal law enforcement.

Additional requirements for the position could involve occasional travel relevant to the responsibilities noted above.
Education
Master's or doctorate-level degree in data science, machine learning, computer science, mathematics, or a related field; OR ten (10) years of applied work experience in one of the same fields.
Our Generous Benefits Package Includes:
  • Being part of a dynamic research group that continues to grow.
  • Company-sponsored healthcare plan and optional vision/dental coverage.
  • Excellent training and development opportunities.
  • Referral bonuses.
  • 401(k) program.
  • Organized social activities.
  • Metro SmartBenefits® Program.

Work Environment
This position is remote, though candidates may choose to work in Econometrica's office.
The office is located at a Metro stop in beautiful downtown Bethesda, MD, within walking distance of great restaurants and local fare. We have a typical office setting with a quiet to moderate noise level.
Physical Requirements
The physical requirements are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Other instructions and related duties may be assigned by the employee's supervisor.
Econometrica, Inc., is an Equal Opportunity Employer (EOE), and we seek to create an inclusive workplace that embraces diverse backgrounds, life experiences, and perspectives.

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