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Data Labeler Jobs in Virginia (NOW HIRING)

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

We are looking for seasoned Data Scientist (Generative) to work with our existing team of Data ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

Overview We are looking for seasoned Data Scientist to work with our existing team of Data ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Judge Group, Inc.

Sr. Data Engineer (AI/ML)

Reston, VA · Remote

$100K - $160K/yr

Experience with ETL, Data Labeling and Data Prep. Experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics. * Understanding of Weibull distribution and use for ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA

$125K - $160K/yr

We are looking for seasoned Data Scientist (Generative) to work with our existing team of Data ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Steampunk

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

We are looking for a more than just a "Data Scientist", but a technologist with excellent ... Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or ...

Peraton

Data Architect, SME

Herndon, VA · On-site

$146K - $234K/yr

Establish secure cross-domain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Peraton

Data Architect, SME

Herndon, VA · On-site

$146K - $234K/yr

Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

Peraton

Data Architect, SME

Herndon, VA

$146K - $234K/yr

Establish secure crossdomain data exchange strategies, data labeling/releasability controls, and defensible data sharing patterns supporting SOC, CIRT, threat intelligence, and vulnerability ...

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Data Labeler information

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How much do data labeler jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data labeler in Virginia is $13.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.40 and $15.24 per hour, depending on experience, location, and employer.

What is a data labeler job?

A data labeler is responsible for reviewing and annotating data such as images, videos, or text to help train machine learning models. The job typically involves using specialized tools and requires attention to detail and accuracy. Data labelers often work remotely and may need basic computer skills and understanding of data privacy.

What is a Data Labeler job?

A Data Labeler is responsible for annotating and categorizing data, such as images, text, audio, or video, to train machine learning models. This involves tasks like adding tags, marking objects, or verifying data accuracy based on specific guidelines. Their work is essential for improving AI models in areas like speech recognition, computer vision, and natural language processing. Attention to detail and accuracy are crucial in this role.

How much are data labelers paid?

Data labelers typically earn between $10 and $20 per hour, depending on experience, location, and the complexity of the labeling tasks. Many positions are remote and may offer flexible schedules, with some roles paying per project or task rather than hourly.

Which 3 jobs will survive AI?

Data labelers are likely to be replaced by AI automation as machine learning models improve in data annotation tasks. Jobs that require complex human judgment, such as healthcare professionals, mental health counselors, and skilled tradespeople, are expected to persist. Roles involving creativity, emotional intelligence, and strategic decision-making will also remain in demand despite AI advancements.

What does a typical day look like for a Data Labeler and how do team interactions work?

As a Data Labeler, your day typically involves reviewing, categorizing, and annotating large volumes of data such as images, text, or audio according to set guidelines. You’ll often work independently but may participate in regular team check-ins to discuss project updates, clarify instructions, or resolve ambiguous cases. Collaboration with data scientists or project managers is common when feedback or clarification is needed, ensuring consistency and quality across the labeled dataset. Over time, high-performing data labelers may transition into roles such as quality assurance reviewer or team lead. The work is detail-oriented and repetitive but is essential in powering reliable artificial intelligence and machine learning applications.

How much does Tesla pay data labelers?

Tesla data labelers typically earn between $15 and $25 per hour, depending on experience and location. The role involves annotating data for autonomous vehicle training and may require familiarity with labeling tools and attention to detail.

What are the key skills and qualifications needed to thrive in the Data Labeler position, and why are they important?

To thrive as a Data Labeler, you need strong attention to detail, proficiency in data entry, and a basic understanding of computer operations, often supported by a high school diploma or equivalent. Experience with annotation platforms, labeling tools, or specific data management software is valuable and may be required for some roles. Effective time management, patience, and the ability to follow detailed instructions are standout soft skills in this position. These skills ensure the accurate and efficient preparation of high-quality datasets, which are crucial for training reliable machine learning models.

What are the most commonly searched types of Data Labeler jobs in Virginia? The most popular types of Data Labeler jobs in Virginia are:
What are popular job titles related to Data Labeler jobs in Virginia? For Data Labeler jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Labeler jobs in Virginia look for? The top searched job categories for Data Labeler jobs in Virginia are:
What cities in Virginia are hiring for Data Labeler jobs? Cities in Virginia with the most Data Labeler job openings:
Data Labeler jobs near you

RF Signals and Data Analyst

Quartermaster AI Inc

Arlington, VA • On-site

Full-time

Posted 8 days ago

Job description

About Us:
At Quartermaster AI, we believe the ocean should be a safe and sustainably managed resource for all. By leveraging cutting-edge AI and robotics, we unlock capabilities that were only recently impossible. Our distributed open-ocean systems enable every vessel to sense, compute, and communicate, enhancing maritime domain awareness for those who need it most.
Role Overview:
Quartermaster AI is seeking an experienced RF Signals Analyst with deep technical roots in communications and signals analysis and characterization to lead our signal characterization and data labeling efforts.
This role focuses on turning real world RF sensor data into structured ground truth for machine learning. You will analyze maritime RF events using spectrograms, waterfall plots, PSDs, metadata, and contextual sources like AIS and camera data when available. You will help define signals of interest, identify interference and host-platform noise, and label signals consistently for model development.
This is a hands-on technical role spanning RF analysis, data labeling, and ML dataset creation, with close collaboration across DSP and ML teams.
Key Responsibilities:
  • Analyze RF event data using IQ derived representations such as spectrograms, waterfall views, PSDs, and metadata to identify, classify, and tag signals of interest.
  • Help define and maintain a scalable maritime RF labeling taxonomy, including signal classes, confidence levels, rejection categories, and ambiguity handling.
  • Build and refine high quality labeled datasets for machine learning, ensuring labels are technically defensible, consistent, and auditable.
  • Identify and document recurring host vessel interference, platform artifacts, and environmental noise to support rejection library development.
  • Collaborate with DSP and ML engineers to review false positives, false negatives, and edge cases, and improve labeling standards over time.
  • Use available contextual data such as AIS, camera imagery, collection metadata, and sensor state to support signal interpretation when appropriate.
Qualifications:
  • 3+ years of experience in one or more of the following: RF signal analysis, SDR-based signal review, EW/SIGINT/ELINT analysis, RF dataset creation, or technical signal characterization.
  • Practical experience working with RF data products such as IQ captures, spectrograms, waterfall plots, PSDs, or other time frequency representations.
  • Experience working with structured labeling, annotation, classification, or technical review workflows where consistency and traceability matter.
  • Comfort working in a Linux-based environment using Python, SDR tools, notebooks, or other RF analysis environments to inspect, organize, and process signal data.
  • Ability to communicate clearly with engineers and translate signal observations into actionable labeling guidance.
  • Experience in maritime RF environments or other cluttered, interference heavy operational environments.
  • Understanding of how label quality, taxonomy design, multi-sensor context (for example AIS, EO/IR, or geolocation), and rejection categories affect downstream ML training and evaluation.
  • Active clearance or ability to obtain and maintain a Secret clearance.

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