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From Home Ai Data Labeling Jobs in Reston, VA (NOW HIRING)

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

We're committed to building an environment where team members from diverse backgrounds can innovate ... Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ...

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

We're committed to building an environment where team members from diverse backgrounds can innovate ... Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ...

Experience with AI/ML Ops and data operations. * PMP and/or PMI-ACP certification. * Ability to ... Correspondence received by an applicant from any other domain should be considered unauthorized and ...

Experience with AI/ML Ops and data operations. * PMP and/or PMI-ACP certification. * Ability to ... Correspondence received by an applicant from any other domain should be considered unauthorized and ...

AI SME

Chantilly, VA · On-site

$115 - $125/hr

Evaluate vendor solutions, tools, and platforms for Federal environments AI & Data Literacy ... Flexible work from home options available.

Showing results 41-60

From Home Ai Data Labeling information

What is from home AI data labeling?

From home AI data labeling is a remote job where individuals tag, categorize, or annotate data—such as images, text, or audio—to help train artificial intelligence systems. These tasks are essential for improving machine learning algorithms, as accurate labeled data allows AI models to learn and make better predictions. Data labelers can work on a variety of projects, including identifying objects in photos, transcribing audio, or organizing text according to guidelines. Most positions are freelance or contract-based, offering flexible work hours and the ability to work from anywhere with a computer and internet connection.

What are some common challenges faced by remote AI data labelers, and how can they be managed?

Remote AI Data Labelers often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and ensuring consistent data quality across assignments. To address these, it's important to establish a structured daily routine, take regular breaks to avoid fatigue, and use quality guidelines provided by employers. Staying connected with team members through chat platforms can also help clarify doubts quickly and maintain a sense of teamwork, even when working from home.

What are the key skills and qualifications needed to thrive as a from home AI data labeling specialist, and why are they important?

To thrive as a From Home AI Data Labeling specialist, you need keen attention to detail, basic computer literacy, and the ability to follow complex instructions, often supported by a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools, and sometimes basic knowledge of programming or data handling systems is beneficial. Strong time management, self-motivation, and effective written communication help individuals excel when working independently. These skills ensure the accuracy and consistency of labeled data, which is critical for training reliable AI models.

What is the difference between From Home Ai Data Labeling vs From Home Data Annotation?

AspectFrom Home Ai Data LabelingFrom Home Data Annotation
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI and machine learning companiesAI, machine learning, and data companies
Job FocusLabeling data for AI trainingAnnotating data for AI and ML models

From Home Ai Data Labeling and From Home Data Annotation are similar roles involving remote work and data preparation for AI. Data labeling typically emphasizes categorizing data, while data annotation may include more detailed marking. Both require basic skills and are used in AI industries, but labeling is often more specific to training datasets for machine learning models.

What are the most commonly searched types of Ai Data Labeling jobs in Reston, VA?

The most popular types of Ai Data Labeling jobs in Reston, VA are:

What are popular job titles related to From Home Ai Data Labeling jobs in Reston, VA?

For From Home Ai Data Labeling jobs in Reston, VA, the most frequently searched job titles are:

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What cities near Reston, VA are hiring for From Home Ai Data Labeling jobs?

Cities near Reston, VA with the most From Home Ai Data Labeling job openings:

AI Data Analyst with Security Clearance

LTC Solutions, LLC

Washington, DC • On-site

Other

Posted 13 days ago


Key responsibilities

  • Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.

  • Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.

  • Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.


Job description

AI Data Analyst: Location: Hybrid (Supporting Pentagon, Arlington, VA) Status: Contingent Hire – Full-Time – Hybrid Clearance: US Citizens with Active TS/SCI Security Clearance (Required) MUST HAVE: Demonstrated experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations data preparation, scripting, automation, data visualization, and analytics using modern programming languages and business intelligence tools. Position Summary The AI Data Analyst provides entry-level analytical and technical support to Headquarters Marine Corps (HQMC), Installations and Logistics (I&L), and the Global Positioning Network (GPN) Program. Working in a hybrid or remote environment under the direction of the Senior AI Data Analyst / Analytics Team Lead, the position prepares data for analysis, develops automation scripts, executes routine analytical models, and produces dashboards and visualization products that support Department of Defense decision-making. The AI Data Analyst assists in collecting, validating, transforming, and integrating structured and unstructured data from multiple Government systems while supporting enterprise data standards, repeatable analytics workflows, and automated reporting. The position contributes to the development of reusable scripts, dashboards, and data products that improve operational awareness, logistics readiness, and program performance. Required Qualifications U.S. Citizen with an Active Top Secret/SCI security clearance and ability to obtain a CAC card.
Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, Statistics, Engineering, Business Analytics, or a related discipline.
One (1) to three (3) years of experience supporting data analytics, business intelligence, data engineering, or software development.
Experience using Python, SQL, or R for data preparation, scripting, automation, or analysis.
Experience using Microsoft Excel and at least one business intelligence platform such as Power BI, Tableau, or equivalent.
Experience collecting, cleaning, validating, and transforming structured datasets.
Working knowledge of relational databases, SQL queries, and data management principles.
Strong analytical, problem-solving, and technical communication skills.
Ability to work independently while collaborating effectively with senior analysts and Government personnel.
Preferred Qualifications Experience supporting Department of Defense, Department of the Navy, U.S. Marine Corps, or other Federal Government organizations.
Experience developing automated data pipelines or reusable scripts.
Familiarity with Git, Azure DevOps, GitHub, or other version-control platforms.
Experience with cloud analytics environments such as Microsoft Azure, Microsoft Fabric, AWS, or Databricks.
Familiarity with data governance, cybersecurity, and secure handling of Controlled Unclassified Information (CUI).
Experience creating interactive dashboards and executive visualization products.
Exposure to artificial intelligence, machine learning, or predictive analytics concepts.
Primary Duties Prepare, cleanse, validate, and transform structured and unstructured datasets supporting GPN analytics and Department of Defense decision-support activities.
Develop and maintain Python, SQL, and R scripts that automate recurring data preparation, transformation, validation, and reporting tasks.
Execute routine analytical models and assist with predictive analytics under the direction of the Senior AI Data Analyst.
Develop and maintain dashboards, charts, scorecards, and visualization products using Power BI, Tableau, or similar business intelligence platforms.
Support development of reusable data pipelines, scripts, templates, and automated workflows that improve analytical efficiency.
Perform data quality checks and assist in maintaining enterprise data standards established by the Analytics Team Lead.
Research data anomalies, resolve inconsistencies, and document corrective actions.
Support integration of data from multiple Government systems into consolidated analytical datasets.
Generate recurring reports, performance metrics, trend analyses, and data extracts supporting Government leadership.
Document scripts, queries, data models, and analytical procedures to ensure repeatability and knowledge transfer.
Assist with testing, validating, and deploying analytical products before Government delivery.
Collaborate with senior analysts, Government stakeholders, and technical personnel to resolve analytical issues and improve data quality.
Maintain compliance with Department of Defense cybersecurity, records management, and data governance requirements.
Perform additional analytical, scripting, automation, and reporting duties as assigned