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Remote Data Annotation Analyst Jobs in Washington

TechFlow, Inc.

Senior Solutions Architect

Arlington, VA · On-site +1

$15K - $165K/yr

... analysis of operational data. * Ensure all design and implementation approaches adhere to the ... Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues ...

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

A-TEK Inc.

Health IT Data Analyst I

Alexandria, VA · Remote

$70K - $75K/yr

The Health IT Data Analyst will develop reports, dashboards, and analytical products that enable ... This is a remote position requiring all work be performed in the continental United States. US ...

Moore

Campaign Data Specialist/Analyst

Lanham, MD · On-site +1

This full-time, salaried positionUS-based remote role Mooreis a data-driven constituent experience ... Strong analytical, troubleshooting, and problem-solving capabilities. * Demonstrated success ...

VIS IT Solutions Inc

MongoDB Analyst

Dulles, VA · Remote

Remote We are seeking a skilled MongoDB Analyst to manage, analyze, and optimize large-scale NoSQL databases. The ideal candidate will be responsible for designing data models, ensuring data ...

SAIC

Data Services Integration Analyst

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Services Integration Analyst to fill a critical position on the LANDMARK AOS program in Chantilly, VA. LANDMARK AOS is ...

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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 are Remote Data Annotation Analysts?

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, and why are they important?

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 Washington? The most popular types of Data Annotation Analyst jobs in Washington are:
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Remote Data Annotation Analyst jobs near you
Compensation Analyst - Remote

Compensation Analyst - Remote

DCI Consulting Group Inc

Washington, DC • Remote

Full-time

Posted 11 days ago

Job description

Salary: $75,000 - $95,000

Position: Compensation Analyst - Remote


Location: Remote
Department: Employment and Litigation Services (ELS)
Experience Level: Mid-level (minimum 3 years of experience)

Salary Range: $75,000- $90,000


About DCI:

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm that helps organizations solve their most complex human resource challenges through a data-driven, research-based approach.

Our experienced consultants partner with clients to address organizational needs holistically, utilizing best practices in human resources, industrial-organizational psychology, and labor economics to promote workplace equity and mitigate risk.


Our Clients:

DCI Consulting Group proudly serves a broad spectrum of clients across multiple sectors, including private sector employers, federal agencies and contractors, public sector organizations, non-profits, and national law firms.


Top Client Initiatives DCI Supports:

Employee selection procedure development and validation research, pay equity and other EEO analytics, compensation consulting, workplace compliance, nondiscrimination reporting, and litigation support as testifying and consulting experts.


About the Job:

DCI Consulting Group is seeking a Compensation Analyst to join our Employment & Litigation Support (ELS) Division. In this role, you will work alongside industry-leading experts in a fast-paced consulting environment to help organizations build equitable and competitive compensation programs that align with legal standards and business strategy.

This position is ideal for mid-career compensation professionals with demonstrated consulting experience and a genuine desire to support clients across a variety of industries.


Responsibilities:

  • Conduct market benchmarking using survey data platforms and publicly available sources
  • Assist in the design and assessment of job architecture, salary structures, and pay ranges
  • Review job descriptions to align positions within leveling frameworks
  • Gather, scrub, and organize compensation data, ensuring data quality and accuracy
  • Analyze market trends and pay equity data to support client recommendations
  • Support statistical analyses to inform compensation design decisions
  • Help ensure compliance with compensation-related regulations (e.g., EEO, FLSA)
  • Prepare clear, concise summaries and visuals for internal and client-facing presentations and reports
  • Support compensation project management and cycle planning tasks
  • Communicate proactively with clients and teammates on deliverables and project initiatives


Required Skills and Qualifications:

  • Bachelor's degree in HR, Business, or related field
  • Minimum 3 years of experience in compensation, HR analytics, or related role
  • Minimum 2 years of experience working in a consulting firm or professional services environment
  • Understanding of compensation fundamentals (e.g., job evaluation, benchmarking, pay equity, and market pricing)
  • Demonstrated proficiency benchmarking positions against public and private sector market data using both publicly available and privately held survey sources (e.g., Mercer, Willis Towers Watson, ERI, Salary.com)
  • Advanced Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP/XLOOKUP, IF statements, INDEX/MATCH, SUMIFS/AVERAGEIFS/COUNTIFS, and data modeling), with demonstrated experience in data quality assurance (QA)
  • Strong computer skills in MS Suite (e.g., Word, Access, PowerPoint, Outlook, 365, Teams)
  • Strong attention to detail with the ability to manage multiple workstreams within tight deadlines
  • Strong written and verbal communication skills, with a demonstrated ability to proactively engaged teammates and clients on deliverables and project initiatives.
  • Familiarity with compensation-related regulations and compliance requirements, including EEO and FLSA
  • Ability to thrive in a remote, fast-paced consulting environment as a member of a team and with significant autonomy, self-discipline, and organization skills


Preferred Experience:

  • Familiarity with statistical concepts or tools supporting compensation analysis (e.g., regression, distribution analysis)
  • Familiarity with artificial intelligence in work products
  • Familiarity with executive or sales compensation
  • Total rewards knowledge, particularly benefits benchmarking
  • Exposure to compensation work in multiple sectors, including nonprofit, private sector, public sector, and/or higher education settings