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Ai Data Collection Jobs in Virginia (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$115K - $139K/yr

... data collection and generation, to align the organization and its data assets in support of the ... You will contribute to the growth of our AI & Data Exploitation Practice! Required: * Ability to ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$98K - $118K/yr

... collection during testing Preferred : • Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine Learning (ML) into data analysis software • Database Management • Analysis of ...

micro1 AI

First-Person AI Video Trainer

Norfolk, VA · Remote

$13/hr

No prior experience in AI is required -- your domain knowledge is what matters. Key ... Communicate effectively with the team to clarify guidelines and provide feedback on data collection ...

SAIC

Data Scientist

Chantilly, VA · On-site

... the collection and integration of large, complex data sets that meet cross-organizational ... in artificial intelligence (AI), data science, machine learning (ML), or statistics. • ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$125K - $160K/yr

... data collection and generation, to align the organization and its data assets in support of the ... You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Required:

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

... data collection and generation, to align the organization and its data assets in support of the ... You will contribute to the growth of our AI & Data Exploitation Practice! Qualifications Required:

TSMG

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

Experience in the coordination of the equipment necessary to implement data collection during testing. Technical Skills : * Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine ...

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

Experience in the coordination of the equipment necessary to implement data collection during testing. Technical Skills : * Knowledge of the incorporation of Artificial Intelligence (AI)/ Machine ...

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All JobsAi Data Collection JobsAi Data Collection Jobs in Virginia

Ai Data Collection information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often offering compensation in that range including salary, bonuses, and stock options. These roles usually require advanced skills in programming, data analysis, and AI frameworks, along with significant experience and leadership responsibilities.

What does a typical day look like for someone working in AI Data Collection?

A typical day often involves reviewing and labeling large sets of data—such as text, images, or audio—using specialized annotation tools or platforms. You might also collaborate with data engineers, project managers, or AI researchers to clarify data requirements and resolve ambiguities. The role usually requires a balance of independent, detail-oriented work and regular team check-ins to ensure consistency and quality across datasets. Adhering to project deadlines and quality guidelines is essential, and there may be opportunities to automate repetitive tasks or improve data protocols over time.

Which AI job is high paying?

In AI data collection, roles that involve managing large datasets, developing data pipelines, or working with advanced tools like machine learning frameworks tend to be higher paying. Positions requiring specialized skills, certifications, or experience in data annotation, labeling, or quality assurance often command higher salaries due to their technical complexity and importance in AI development.

What is an AI Data Collection job?

An AI Data Collection job involves gathering, labeling, and curating datasets used to train and improve artificial intelligence models. This can include collecting text, images, audio, or video data from various sources while ensuring its accuracy and relevance. Professionals in this role may also clean and organize data to make it usable for machine learning algorithms. Ethical considerations, such as privacy and bias, are important aspects of the job. Strong attention to detail and familiarity with data management tools are often required.

Which 3 jobs will survive AI?

AI Data Collection specialists are likely to continue to be in demand as they gather and annotate data essential for training AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI advancements. These roles often involve tasks that are difficult for AI to replicate fully.

What is an AI data collection job?

An AI data collection job involves gathering and labeling data such as images, text, or audio to train machine learning models. Workers often use online platforms, require attention to detail, and may need basic knowledge of data annotation tools or guidelines.

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

To thrive in AI Data Collection, you need strong analytical skills, attention to detail, and knowledge of data management principles, often supported by a background in computer science or a related field. Familiarity with data annotation tools, spreadsheets, programming languages like Python, and experience using data labeling or crowdsourcing platforms is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are valuable soft skills in this position. These skills enable accurate, efficient data collection and ensure datasets meet the quality standards necessary for training and validating AI models.

What are the most commonly searched types of Ai Data Collection jobs in Virginia? The most popular types of Ai Data Collection jobs in Virginia are:
What are popular job titles related to Ai Data Collection jobs in Virginia? For Ai Data Collection jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Data Collection jobs in Virginia look for? The top searched job categories for Ai Data Collection jobs in Virginia are:
What cities in Virginia are hiring for Ai Data Collection jobs? Cities in Virginia with the most Ai Data Collection job openings:
Ai Data Collection jobs near you
Infographic showing various Ai Data Collection job openings in Virginia as of July 2026, with employment types broken down into 65% Full Time, 10% Part Time, and 25% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Data Scientist (AI/ML)

Waypoint Human Capital

Chantilly, VA • On-site

Full-time

Posted 23 days ago

Job description

Position Title: Data Scientist (AI/ML)
Position Type: Full-Time, Fully On-Site
Location: Chantilly, VA
Clearance: Active TS/SCI with CI Poly
Waypoint's client is seeking a Data Scientist (AI/ML) to join their growing team supporting a National Security customer. This role focuses on leveraging Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data engineering to enhance cybersecurity operations, risk management, and enterprise decision-making. The selected candidate will work with large-scale datasets to develop predictive models, automate analysis, and create innovative solutions that improve cyber situational awareness and mission effectiveness.
Responsibilities
  • Develop, train, test, and deploy machine learning and artificial intelligence solutions to support cybersecurity and risk management initiatives.
  • Analyze large structured and unstructured datasets from vulnerability management, authorization, compliance, and cybersecurity tools.
  • Design predictive analytics models to identify trends, anomalies, and emerging risks.
  • Develop data pipelines and automated workflows to collect, transform, and process data from multiple sources.
  • Create interactive dashboards, visualizations, and executive-level reporting products using tools such as Tableau.
  • Apply statistical analysis, machine learning, and AI techniques to support cyber defense and operational decision-making.
  • Support development and integration of Generative AI, Large Language Models (LLMs), and advanced analytics capabilities where applicable.
  • Collaborate with cybersecurity, engineering, and risk management teams to automate data collection, reporting, and visualization processes.
  • Communicate technical findings and recommendations to both technical and non-technical stakeholders.

Required
  • Active TS/SCI clearance with CI Polygraph.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related STEM field.
  • 5+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines.
  • Strong proficiency in Python and experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or SageMaker.
  • Experience developing, training, and deploying machine learning models in operational environments.
  • Strong understanding of statistics, predictive modeling, data mining, and data analysis techniques.
  • Experience working with SQL databases, data architectures, and large-scale datasets.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience transforming and processing data using Python, JSON, and related technologies.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a mission-focused team environment.

Desired
  • Experience supporting Intelligence Community (IC) or DoD customers.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP).
  • Experience with AWS cloud services, including SageMaker, EMR, and related AI/ML services.
  • Experience with Splunk, ServiceNow, or cybersecurity-focused data platforms.
  • Familiarity with RMF, FISMA, vulnerability management, and cybersecurity compliance frameworks.
  • Experience with Apache Hadoop, Spark, or distributed data processing environments.
  • Experience briefing senior government stakeholders and executive leadership.
  • Advanced degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related field.

Preferred Technical Skills
  • Python
  • SQL
  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Generative AI
  • LLMs
  • NLP
  • Tableau
  • AWS SageMaker
  • Hadoop
  • Spark
  • Splunk
  • Data Visualization
  • Predictive Analytics
  • Statistical Modeling
  • Data Engineering

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