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Internship Ai Data Labeling Jobs in Virginia (NOW HIRING)

SOSi

Machine Learning Engineer- Senior

Chantilly, VA

$125K - $165K/yr

... as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience developing and deploying AI/ML models as part of production ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

... as data labeling and processing. * Experience with asynchronous Python development using frameworks like Ray and FastAPI. * Experience developing and deploying AI/ML models as part of production ...

Genworth Financial

Senior Security Engineer, Data

Richmond, VA · Hybrid

$113K - $155K/yr

Guide stakeholders on data classification, labeling, and handling best practices * Participate in ... Stay current on evolving risks (e.g., insider threat, data leakage, AI/data misuse) * Contribute to ...

Genworth Financial

Senior Security Engineer, Data

Lynchburg, VA · Hybrid

$111K - $152K/yr

Guide stakeholders on data classification, labeling, and handling best practices * Participate in ... Stay current on evolving risks (e.g., insider threat, data leakage, AI/data misuse) * Contribute to ...

CBRE

Union Data Center Installer

Boydton, VA · On-site

Affixing Labels to cabling and Power Cords * Affix bar coding to equipment * Affix free printed ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

GRVTY

Data Scientist - Senior

Falls Church, VA

Build software tools to manage labeling campaigns, including: * Tracking unlabeled and labeled data ... Conduct analysis of overall data holdings to support development of performant AI/ML models ...

CaseGuard

Data Annotation Specialist

Arlington, VA · On-site

$40K - $50K/yr

Review, label, and categorize images to support machine learning and AI model training. * Follow ... Handle sensitive data with discretion and comply with privacy and security policies. * Meet ...

GRVTY

Data Scientist - Senior

Falls Church, VA

Transferring label task information via API-based movement between platforms * Build software tools ... Experience working with AI/ML technologies and data systems * Experience working with multiple file ...

GRVTY

Data Scientist - Senior

Falls Church, VA · On-site

Transferring label task information via API-based movement between platforms * Build software tools ... Experience working with AI/ML technologies and data systems * Experience working with multiple file ...

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Internship Ai Data Labeling information

What is the difference between Internship Ai Data Labeling vs Data Annotation Specialist?

AspectInternship Ai Data LabelingData Annotation Specialist
Required CredentialsHigh school diploma or equivalent; some technical skillsHigh school diploma or higher; technical skills often preferred
Work EnvironmentEntry-level, training-focused, often remote or in-officeProfessional setting, may be remote or on-site, more independent
Employer & Industry UsageTech companies, AI startups, research projectsAI companies, data service providers, tech firms
Search & Comparison IntentUnderstanding entry-level roles in AI data labelingClarifying professional data annotation roles

Internship Ai Data Labeling typically refers to entry-level, training-focused positions aimed at gaining experience in labeling data for AI models. Data Annotation Specialist is a more experienced, professional role involving detailed data labeling tasks. Both roles are essential in AI development, but internships are designed for beginners, while specialists have more responsibility and expertise.

What is an AI data labeling internship?

An AI Data Labeling Internship is a temporary position where interns assist in preparing datasets for machine learning models by accurately annotating, categorizing, or tagging data such as images, text, or audio. Interns learn about the fundamentals of artificial intelligence and the importance of high-quality labeled data in training algorithms. This role is ideal for students or recent graduates interested in AI, data science, or related fields, and provides hands-on experience with data preparation and quality assurance processes.

What are some common challenges faced during an AI data labeling internship, and how can I overcome them?

As an AI Data Labeling intern, you may encounter challenges such as maintaining high accuracy while labeling large volumes of data, understanding complex labeling guidelines, and managing repetitive tasks without losing focus. To overcome these, it's helpful to regularly review the instructions, seek feedback from your team lead, and use productivity techniques to stay engaged. Collaborating with other interns and attending team meetings can also provide valuable insights and help you address uncertainties quickly.

What are the key skills and qualifications needed to thrive as an AI data labeling intern?

To thrive as an AI Data Labeling Intern, you need attention to detail, basic data analysis skills, and familiarity with data annotation concepts, often supported by a background in computer science or related fields. Experience using annotation platforms, spreadsheets, and sometimes specific labeling software is common, though formal certifications are not usually required. Strong communication, time management, and the ability to follow detailed guidelines set high performers apart in this role. These skills ensure accurate, high-quality data sets that are essential for training reliable AI models.
What are the most commonly searched types of Ai Data Labeling jobs in Virginia? The most popular types of Ai Data Labeling jobs in Virginia are:
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Internship Ai Data Labeling jobs near you

Machine Learning Engineer- Senior with Security Clearance

SOSi

Chantilly, VA • On-site

$118K - $162K/yr

Other

Re-posted 15 days ago

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights. Essential Job Duties * Leverage data science and machine learning processes to answer mission challenges.
* Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
* Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery. * Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
* Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
* Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making. Qualifications Minimum Requirements * Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
* Minimum 5 years of experience in a data science/engineer role.
* Experience developing and using agentic AI frameworks including Autogen. * Experience with prompt engineering beyond traditional code writing and debugging. 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 developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability. * Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks. * Deploying models into multi-node Ray clusters utilizing various GPU resources. * Experience with developing and deploying resources to cloud environments. * Experience working in Linux and Windows environments and managing resources for efficiency. * Demonstrated ETL expertise.
Preferred Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
* Experience in the US Intelligence Community. Additional Information Work Environment * Office setting with a combination of desk work and meetings.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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