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Entry Level Ai Agent Jobs in Virginia (NOW HIRING)

Entry Level Ai Agent information

What is an entry level AI agent?

Entry level AI agents are software programs or applications that use artificial intelligence to perform basic, repetitive, or straightforward tasks with minimal human supervision. These agents are designed to automate simple processes such as scheduling, responding to common queries, data entry, or basic customer support. They typically require less training or customization compared to more advanced AI systems and are often used by businesses to improve efficiency in everyday operations. Entry level AI agents can be found in chatbots, virtual assistants, and workflow automation tools. As technology evolves, their capabilities continue to expand, making them valuable assets in many industries.

What types of projects or tasks can an entry level AI agent expect to work on in their first year?

As an Entry Level AI Agent, you'll typically work on a variety of foundational tasks such as data preprocessing, model training, testing, and basic troubleshooting under the guidance of more experienced team members. You may assist in gathering and labeling data, running experiments, and evaluating model performance. Collaboration with data scientists, software engineers, and product managers is common, providing valuable exposure to the AI development lifecycle. This hands-on experience helps you build core technical and teamwork skills, setting the stage for more advanced responsibilities as you gain confidence and expertise.

What are the key skills and qualifications needed to thrive as an entry level AI agent, and why are they important?

To thrive as an Entry Level AI Agent, you need a basic understanding of machine learning concepts, programming skills (often Python), and a relevant degree or coursework in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms such as AWS or Google Cloud is commonly required. Strong analytical thinking, curiosity, and effective communication help individuals learn quickly and collaborate on projects. These skills enable entry-level agents to contribute meaningfully to AI development, troubleshoot models, and integrate smoothly into technical teams.

What is the difference between Entry Level Ai Agent vs Data Analyst?

AspectEntry Level Ai AgentData Analyst
Required CredentialsBasic understanding of AI concepts, some certifications preferredBachelor's in Data Science, Statistics, or related field
Work EnvironmentTech companies, customer support, AI development teamsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused roles in tech and startupsData-driven decision making across various sectors
Search & Comparison IntentUnderstanding entry-level AI rolesComparing AI-related roles with data analysis

Entry Level Ai Agents typically focus on supporting AI systems, understanding basic AI tools, and assisting in AI-related tasks. Data Analysts analyze data to generate insights and support decision-making. While both roles involve data and technology, Entry Level Ai Agents are more aligned with AI system support, whereas Data Analysts focus on data interpretation and reporting.

How to start working on entry level AI agents?

To start working as an entry-level AI agent, develop foundational skills in programming languages like Python, learn basic machine learning concepts, and gain experience with AI frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining relevant certifications can also improve job prospects.

What are the most commonly searched types of Ai Agent jobs in Virginia?

The most popular types of Ai Agent jobs in Virginia are:

What job categories do people searching Entry Level Ai Agent jobs in Virginia look for?

The top searched job categories for Entry Level Ai Agent jobs in Virginia are:

Infographic showing various Entry Level Ai Agent job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Mortgage Loan Officer Assistant

CMS Mortgage Solutions

Midlothian, VA

$30/hr

Full-time

Re-posted 21 days ago


Job description

CMS Mortgage is looking for a Loan Officer Assistant to serve as a true right-hand partner to our Loan Officer. This is not an entry-level support role. We are seeking someone with strong mortgage experience who is client-facing, detail-oriented, and confident in managing files and communication from application through pre-approval and beyond.


Required Experience (Read Before Applying):

  • This role requires a minimum of 2 years of recent mortgage industry experience. Applicants without direct experience as a Loan Officer, Loan Officer Assistant, Processor, or Underwriter will not be considered.
  • You will be introduced to every client from day one as a core member of the loan team. You will support the pre-approval pipeline, manage client and agent communication, follow up with active and inactive leads, and ensure files are clean, structured, and moving forward.
  • When the Loan Officer is unavailable, you are the knowledgeable and reliable point of contact that clients and agents trust.
  • If you thrive in a fast-paced environment and take pride in keeping files organized and communication consistent, this role is a strong fit.


Compensation & Perks:

  • Competitive base compensation commensurate with experience.
  • Per-loan bonus structure with additional performance bonuses at volume milestones.
  • Paid access to tools and training resources.
  • Flexible hybrid work structure.
  • Direct mentorship and exposure to a high-performing mortgage operation.


Compensation:

$20 - $30 hourly


Responsibilities:
  • Review and reconcile all incoming applications, including credit, income, and documentation prior to the Loan Officer review
  • Run AUS (DU/LP), identify appropriate loan structure, and flag potential issues early
  • Manage the pre-approval pipeline from application through pre-approval letter issuance
  • Generate and update pre-approval letters quickly and accurately
  • Provide client and realtor communication via phone, text, and email throughout the process
  • Coordinate file setup in ARIVE upon receipt of a purchase agreement, ensuring accuracy of contacts and contract details
  • Provide ongoing borrower updates and milestone communication
  • Follow up with pre-approved clients, incomplete applications, and refinance opportunities
  • Participate in weekly pipeline meetings and maintain accountability across all active files

Qualifications:
  • Minimum 2+ years of mortgage industry experience required (non-negotiable)
  • Experience as a Loan Officer Assistant, Mortgage Processor, Underwriter, or Loan Officer strongly preferred
  • Strong understanding of income calculation, including self-employed borrowers
  • Hands-on experience with credit review and AUS systems (DU/LP)
  • Ability to structure files and support pre-approvals independently
  • Strong understanding of loan programs, including Conventional, FHA, VA, and Non-QM
  • Prior experience in the broker channel is a plus
  • Familiarity with working across multiple lenders and pricing scenarios is preferred


The Mindset We Cannot Train

  • Detail-oriented, with strong follow-through and accuracy
  • Proactive communicator who keeps clients and the Loan Officer informed
  • Calm under pressure and able to manage multiple priorities
  • Organized and able to manage a high-volume pipeline
  • Professional, warm, and confident in client-facing communication


Please Note:

This is not an entry-level role. We are specifically seeking candidates with prior mortgage experience who can step into the role and contribute immediately.


About Company

CMS Mortgage Solutions (NMLS #212405) is a multi-state licensed mortgage brokerage with 115+ loan officers across 27 states. We operate on a philosophy we call "Confidently Boring" — compound growth over quick wins, systems over shortcuts, realistic promises over hype.

We have built one of the most advanced AI-powered Marketing Operating Systems in the mortgage industry: 26 specialized AI skills, 10 AI agents, automated content pipelines, compliance enforcement, documented workflows, competitive intelligence, brand voice guides, and a full technical infrastructure.