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Freelance Data Labeling Analyst Jobs in Virginia

Novul Solutions

Data Analyst

Arlington, VA · On-site

Overview We are seeking an experienced Data Analyst to support enterprise-wide data governance ... Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP ...

Phase2 Technology

Data Analyst

Arlington, VA · On-site

$62 - $141/hr

... labeling datasets Experience with data mining, data quality management, data cleansing, statistical analysis, and stakeholder engagement using tools such as Microsoft Excel and Python Ability to ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... Data Scientist with 4 years of experience including experience in applied NLP, data labeling ...

Phase2 Technology

AI and ML Data Scientist

Mclean, VA · On-site

$77.60 - $176/hr

You'll work closely with clients, analysts, engineers, and mission stakeholders to understand ... Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling ...

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Freelance Data Labeling Analyst information

What is a freelance data labeling analyst?

A Freelance Data Labeling Analyst is a professional who works independently to tag, categorize, or annotate data—such as images, texts, or audio—to help train machine learning models. These analysts play a crucial role in ensuring that artificial intelligence systems receive accurate and high-quality training data. Their work typically involves reviewing raw data and applying specific labels according to established guidelines. Freelance analysts can work remotely for various clients, often via online platforms or data annotation companies. This job requires attention to detail, consistency, and sometimes domain-specific knowledge.

What are the key skills and qualifications needed to thrive as a freelance data labeling analyst?

To thrive as a Freelance Data Labeling Analyst, you need strong attention to detail, data literacy, and a solid understanding of data annotation standards, often supported by a background in computer science or related fields. Familiarity with data labeling platforms, annotation tools like Labelbox or Supervisely, and sometimes knowledge of Python or SQL is valuable. Diligence, self-motivation, and the ability to follow complex guidelines set apart top analysts in this role. These skills ensure accurate, high-quality labeled datasets that are crucial for effective machine learning model training.

What are some common challenges freelance data labeling analysts face when working with multiple clients?

Freelance Data Labeling Analysts often juggle varied guidelines, annotation tools, and project requirements from different clients. Adapting quickly to new labeling standards and software platforms is essential, as each client may have their own specifications for data quality and turnaround times. Additionally, managing communication across multiple teams and ensuring consistent delivery can require strong organizational skills and proactive time management. Building a transparent workflow and clarifying expectations with each client helps mitigate these challenges.

What is the difference between Freelance Data Labeling Analyst vs Data Annotator?

AspectFreelance Data Labeling AnalystData Annotator
CredentialsBasic data labeling skills, sometimes certifications in data annotation toolsSimilar; often no formal certifications required
Work EnvironmentRemote, freelance projects for various clientsRemote or in-house, depending on employer
Industry UsageUsed across AI, machine learning, and data science projectsPrimarily in AI training datasets and machine learning
Search & Comparison IntentHigh overlap; both involve labeling data for AI models

Both Freelance Data Labeling Analysts and Data Annotators perform data labeling tasks essential for training AI models. The main difference lies in the freelance nature and potential project variety for Analysts, while Annotators may work more consistently within specific companies or platforms. Both roles require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Virginia?

The most popular types of Data Labeling Analyst jobs in Virginia are:

What are popular job titles related to Freelance Data Labeling Analyst jobs in Virginia?

For Freelance Data Labeling Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Freelance Data Labeling Analyst jobs in Virginia look for?

The top searched job categories for Freelance Data Labeling Analyst jobs in Virginia are:

What cities in Virginia are hiring for Freelance Data Labeling Analyst jobs?

Cities in Virginia with the most Freelance Data Labeling Analyst job openings:

Freelance Data Labeling Analyst jobs near you

Data Analyst

Novul Solutions

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 days ago

Job description


Overview
We are seeking an experienced Data Analyst to support enterprise-wide data governance, classification, tagging, and data protection initiatives within a secure Department of War environment. This role will focus on establishing data classification and categorization standards, supporting data tagging and labeling efforts, and ensuring sensitive mission data is properly protected based on sensitivity, mission-criticality, and regulatory requirements.
The ideal candidate will have strong experience with data tagging, data governance, data classification, data lifecycle management, and data security controls. Experience supporting DoW and/or DoW SAP environments is highly preferred.
Key Responsibilities:
  • Establish and maintain a data classification and categorization system to ensure data is appropriately protected based on sensitivity, mission-criticality, and regulatory requirements.
  • Manage the coordination and deployment of data tagging and labeling mechanisms across the DoW SAP enterprise.
  • Ensure compliance with DoW policies on data classification and information security, including DoDI 5200.01 and related guidance.
  • Define clear data governance policies, including roles and responsibilities for data ownership, stewardship, and custodianship.
  • Design and support a data governance framework that outlines roles, responsibilities, processes, and policies for managing data across the DoW enterprise.
  • Develop and implement a robust data management framework to ensure the integrity, accessibility, security, and compliance of data throughout its lifecycle.
  • Implement data security controls and privacy protections to safeguard sensitive DoW data from unauthorized access, breaches, misuse, or improper disclosure.
  • Evaluate, propose, and support integration of data governance tools and technologies.
  • Develop and standardize processes for collecting, organizing, classifying, and integrating data from various sources across the DoW enterprise.
  • Create detailed implementation plans for deploying data masking solutions across relevant systems, applications, and datasets.
  • Support enterprise data protection efforts by helping ensure sensitive data is properly identified, labeled, tracked, and controlled.

Requirements
Required Qualifications:
  • Bachelor's Degree with 10+ years of relevant experience; or High School Diploma with 14+ years of relevant experience.
  • Proven expertise in data tagging, data labeling, data classification, and data categorization.
  • Experience supporting data governance, data management, or data protection initiatives in a secure enterprise environment.
  • Knowledge of data ownership, stewardship, custodianship, and lifecycle management concepts.
  • Experience developing or supporting policies, processes, and frameworks related to data governance and data security.
  • Understanding of data security controls, privacy protections, access controls, and sensitive data handling requirements.
  • Ability to coordinate across technical teams, business stakeholders, data owners, and security personnel.
  • Strong written and verbal communication skills with the ability to document processes, plans, and governance standards.

Ability to work 100% onsite in Rosslyn, VA.
Preferred Qualifications:
  • Experience supporting DoW and/or DoW SAP environments.
  • Familiarity with DoDI 5200.01 or other DoW information security classification requirements.
  • Experience with data governance tools, data cataloging platforms, metadata management tools, or data masking technologies.
  • Experience supporting enterprise data tagging, labeling, or classification implementation efforts.
  • Prior experience working in classified, SAP, or mission-critical federal environments.

Benefits
Core Benefits:
  • Paid Time OffPTO):TEN (10) Paid days off & FIVE (5) Floating days off.
  • Holidays: 11 Paid Holidays. Flex time can be utilized instead of holiday time usage.
  • Payroll: Paid Bi-Monthly.
  • 401(k): Partnered with the SECOND LARGEST Retirement plan provider in the U.S. Guaranteed 3% match. Eligibility - 21 years of age or older, after 3 months of employment
  • Individual or company-wide performance and recognition awards (Quarterly

Health Benefits:
  • UNITED HEALTHCARE PPO, extensive national coverage.
  • INCLUDES: Medical/Dental/Vision/HSA.
  • Eligible on the first of the month, immediately after the start date.
  • Submit the enrollment form within 30 days of your start date otherwise, you will have to wait until October for the new year enrollment.

Quality of Life Benefits:
  • Training & Career Development Reimbursement of Tuition and training needed to support career development.
  • $150 monthly reimbursement contribution paid monthly towards parking expenses.
  • Receipts must be submitted by the close of business on the 25th of each month.
  • Reimbursements will be paid on the first payroll AFTER reimbursements are submitted each month.

Special Benefits:
  • Performance bonus - Project-based
  • Yearly bonus - Company based

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