ZipRecruiter

Log In

1

Data Labeling Jobs in Virginia (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Understanding of how to craft prompts for discrete tasks such as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience ...

previous pagenext page

Showing results 21-40

All JobsData Labeling JobsData Labeling Jobs in Virginia

Data Labeling information

What is data labeling?

A Data Labeling job involves annotating or tagging data, such as images, text, audio, or videos, to help train machine learning models. Labelers follow specific guidelines to classify data accurately so that AI systems can learn patterns and make predictions. This role is essential in fields like computer vision, natural language processing, and speech recognition. Strong attention to detail and consistency are crucial for ensuring high-quality training datasets.

What are the typical day-to-day responsibilities of a data labeling professional?

A Data Labeling professional is primarily responsible for reviewing and accurately tagging images, text, audio, or video data according to specified guidelines. Daily tasks often include managing large datasets, using annotation software to classify data, and verifying the quality and accuracy of the labels. Collaboration with data scientists, project managers, and other annotators is common, especially when clarifying labeling guidelines or resolving ambiguities. Attention to detail is crucial, as high-quality labeled data directly impacts the effectiveness of machine learning models and AI applications. Most positions are structured in team environments, where productivity and communication skills help ensure project deadlines are met.

What are the key skills and qualifications needed to thrive in data labeling, and why are they important?

To thrive in Data Labeling, you need meticulous attention to detail, strong analytical abilities, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with data annotation tools, image or text editing software, and experience with platforms like Labelbox or Amazon SageMaker Ground Truth are commonly advantageous. Exceptional concentration, patience, and the ability to follow precise instructions are valuable soft skills in this position. These skills and qualities are essential for ensuring the accuracy and consistency of labeled datasets, which are critical for training reliable AI and machine learning models.

How can I get started in data labeling?

To get started in data labeling, you should develop basic skills in data annotation tools and understand labeling guidelines for different data types such as images, text, or audio. Many entry-level positions require attention to detail and sometimes a background in relevant fields like computer science or linguistics; online courses and practice datasets can help build your skills. Additionally, creating a strong profile on job platforms and applying to companies that offer remote or flexible data labeling roles can increase your chances of starting in this field.

How much do data labelers make?

Data labelers typically earn between $10 and $20 per hour, depending on experience, complexity of tasks, and the platform or employer. Some may work as freelancers or part-time, with pay rates varying accordingly.

Is data labeling a good career?

Data labeling is a growing field that involves annotating data for machine learning models, often requiring attention to detail and familiarity with tools like labeling platforms. It can offer flexible schedules and entry-level opportunities, but typically provides lower pay compared to other tech roles and may lack long-term career advancement without additional skills. Overall, it can be a suitable starting point for those interested in AI and data science, but may not be ideal as a long-term career without further development.

What are data labeling jobs?

Data labeling jobs involve annotating or tagging data such as images, text, or videos to help train machine learning models. These roles typically require attention to detail and familiarity with labeling tools or software, and may be performed remotely or in a team environment.

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

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

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

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

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

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

What cities in Virginia are hiring for Data Labeling jobs?

Cities in Virginia with the most Data Labeling job openings:

Data Labeling jobs near you
Infographic showing various Data Labeling job openings in Virginia as of September 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% In-person job distribution.

Exploitation Specialist/Data Scientist- Senior with Security Clearance

Falls Church, VA • On-site

GRVTY
See more jobs at GRVTYexternal

$160K - $190K/yr

Contractor

Medical, Retirement, PTO

Re-posted 12 days ago

Job description

What Impact You'll Have GRVTY is seeking a motivated and experienced Data scientist experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community. The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC). What You'll be Owning * Data Architecture & ETL Pipeline Construction * Design and implement robust database tables and schemas tailored for novel sensor data. * Build end-to-end Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines. * Establish automated data health monitoring, validation checks, and system alerts to detect pipeline anomalies. * API Integration & Cross-Platform Interoperability * Develop secure, scalable workflows to automate API-based data movement across disparate data platforms. * Ensure full alignment with government-mandated data governance protocols, standardized schemas, and transmission formats. * Impact Analysis & System Integration * Conduct technical impact assessments on how novel data metadata, structures, and formats interact with existing production pipelines. * Identify potential bottlenecks or system regressions when modifying active databases, schemas, or ingestion endpoints. * Geospatial & Imagery Pre-processing * Standardize and format raw sensor data to make it immediately viable for downstream data labeling and machine learning model testing. * Perform complex geospatial manipulations, including converting file format types, orthorectification, and chipping (tiling large imagery into specific pixel sizes or geospatial bounds). What You Must Have * Active TS/SCI Clearance with the ability to obtain a CI/Poly * 4+ years of experience working with SQL or NoSQL databases and cloud architectures * Experience leveraging APIs to query systems and migrate data * Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences. * Experience with programming languages such as Python, JavaScript, or Java * Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces. What Would be Nice to Have * Experience working with NGA IT enterprise solutions , Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates * Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise. * Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines Pay Range: At GRVTY, we understand that compensation is influenced by many factors-such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. * The pay range for this position is: $160,000 - $190,000

Apply