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Entrylevel Ai Data Labeling Jobs in Virginia (NOW HIRING)

CBRE

Union Data Center Technician II

Richmond, VA · On-site

$30/hr

... labeling. • Capable of maintaining orderly paperwork, capable of running midsize projects and ... Applicant AI Use Disclosure: We value human interaction to understand each candidate's unique ...

ECS

Junior Data Engineer

Falls Church, VA · On-site

Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business ... This is an entry-level engineering position well-suited for early-career professionals seeking ...

Chenega MIOS

Deputy Program Manager

Arlington, VA

$134K/yr

Experience supporting complex IT, AI, data analytics, or cybersecurity initiatives. * PMP ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

Chenega Corporation

Deputy Program Manager

Arlington, VA · On-site

$133K/yr

Experience supporting complex IT, AI, data analytics, or cybersecurity initiatives. * PMP ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

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All JobsEntrylevel Ai Data Labeling JobsEntrylevel Ai Data Labeling Jobs in Virginia

Entrylevel Ai Data Labeling information

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

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

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

Associate AI Enablement Analyst

Smithfield Foods, Inc.

Smithfield, VA • On-site

Full-time

Posted 8 days ago

Job description

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub.
Have a seat at our table. When you join Smithfield, you become part of something special - a company that's sustainably feeding people around the world, producing good food the right way with respect for our people, animals, communities and planet. With opportunities across locations and functions, a culture grounded in our Core Four values - gratitude, communication, respect and accountability - and a strong commitment to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers where you can grow, contribute and make a real impact. Apply Now!
THE VALUE YOU'LL BRING:
The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.
Smithfield is seeking an Associate AI Enablement Analyst to support the adoption of approved AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams. This entry-level role will help business users apply AI to practical day-to-day work, including reporting automation, workflow improvement, prompt development, documentation, training support, and responsible AI usage.
The role is designed for a recent college graduate or early-career professional who is highly curious, organized, analytical, and comfortable learning emerging technologies. The analyst will work closely with the Data Analytics & AI team to help scale AI adoption in a safe, governed, and business-value-focused way.
WHAT YOU'LL DO:
The below statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned.
  • AI Adoption & Enablement
    • Assist business teams in learning and using approved AI tools such as Microsoft Copilot, Copilot Studio, Power BI, and other enterprise platforms.
    • Support AI office hours, training sessions, demonstrations, and enablement workshops.
    • Help translate business needs into simple AI-driven use cases, prompts, and workflows.
    • Create simple, practical examples that show employees how AI can reduce manual work, improve analysis speed, and improve documentation quality.
  • Prompt Library & Knowledge Management
    • Help build and maintain reusable prompt templates for common business needs (e.g., summaries, reporting commentary, documentation).
    • Support organization of AI best practices, job aids, and FAQs within Teams or SharePoint.
    • Contribute to a centralized AI knowledge base with examples, use cases, and reusable assets.
  • Use Case Intake & Workflow Documentation
    • Assist with intake of AI use case ideas across functions such as Finance, Sales, Supply Chain, and Operations.
    • Help document current workflows and identify opportunities for AI-driven improvements.
    • Support basic process mapping, requirements gathering, and documentation.
    • Prepare simple summaries for review by senior team members.
  • Governance, Risk, and Responsible AI Support
    • Help maintain an AI use case registry, prompt library inventory, and lightweight lifecycle documentation.
    • Support documentation of responsible AI practices, including data handling, human review, validation steps, and escalation paths.
    • Ensure AI enablement materials reinforce Smithfield's expectations for data security, confidentiality, accuracy, and appropriate use.
    • Partner with senior team members to ensure AI use cases align with internal governance, audit, and compliance expectations.
  • Adoption Metrics & Reporting
    • Track AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.
    • Help create dashboards or scorecards that show AI enablement progress, business engagement, and productivity opportunities.
    • Gather user feedback and summarize recurring questions, friction points, and training needs.
  • Business Support & Continuous Improvement
    • Assist analysts and business users in applying AI to routine work such as report documentation, meeting recaps, data quality checks, dashboard explanations, and recurring analysis.
    • Identify repetitive support tasks that could be turned into self-service guides, prompts, automations, or standard templates.
    • Stay current on emerging AI capabilities and summarize relevant updates for the team.

WHAT WE'RE SEEKING:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions.
  • Education & Experience: Bachelor's Degree from an accredited four-year college or university in Business Analytics, Data Analytics, Information Systems, Finance, Supply Chain, Computer Science, Industrial Engineering, or related field, or equivalent combination of education and experience, required.
  • Company will consider a currently enrolled college student with an anticipated graduation by end of current school year as qualified.
  • Other Experience: 2 years of professional AI-related experience preferred; internships, co-ops, analytics projects, or coursework.
  • AI & Automation Interest: Strong interest in artificial intelligence, analytics, automation, and business process improvement, with basic familiarity using tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar platforms.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, business-friendly language.
  • Organization & Attention to Detail: Highly organized with strong attention to detail and the ability to manage multiple priorities effectively.
  • Technical & Microsoft 365 Proficiency: Comfortable working within Microsoft 365 tools, including Excel, PowerPoint, Teams, SharePoint, and Outlook.
  • Collaboration & Work Environment: Ability to work in an in-office setting and collaborate directly and effectively with cross-functional business teams.

OTHER SKILLS THAT MAKE YOU STAND OUT:
  • Experience with Power BI, Power Automate, Copilot Studio, Databricks/Snowflake, SQL, Python, or Excel advanced formulas.
  • Familiarity with finance, supply chain, manufacturing, or food production business processes.
  • Experience creating training materials, SOPs, documentation, dashboards, or process maps.
  • Exposure to prompt engineering, workflow automation, or low-code/no-code tools.
  • Strong curiosity and willingness to learn new AI tools quickly.
Relocation Package AvailableNo
EEO Information
Smithfield is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law.
If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at 757-357-1595.

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