ZipRecruiter

Log In

2

Ai Training Entry Level Jobs in Washington (NOW HIRING)

Sargent & Lundy

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

... Training. * Experience in writing and providing support documentation for Civil Engineering ... AI & Automation at Sargent & Lundy In this role, we expect people to be willing or able to solve ...

Caplock Security LLC

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

Training & development * Vision insurance AI Automation Engineer Caplock Security | Remote-U.S ... About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ...

XPERTECHS

Automation Associate

Columbia, MD

Description This role is an entry level position aimed at a blend of AI-focused project work ... training. You'll work closely with senior management, technical teams, other stakeholders, and ...

EAB

Coordinator, Research (Entry Level)

Washington, DC · Hybrid

$40K/yr

... training work in Research * Plays a key role in supporting and assisting with the onboarding ... Interest in and willingness to experiment with AI tools to improve operational efficiency ...

next page

Showing results 1-20

All JobsAi Training JobsAi Training Entry Level JobsAi Training Entry Level Jobs in Washington

Ai Training Entry Level information

What is an AI Training Entry Level?

An AI Training Entry Level job typically involves helping to prepare and label data used to train artificial intelligence systems. This may include tasks like categorizing images, transcribing audio, or providing feedback on machine-generated outputs. Workers in these roles play a crucial part in improving the accuracy and reliability of AI models by ensuring the data used to teach these systems is high-quality and well-organized. No advanced technical background is usually required, making it accessible for those new to the AI field. These roles can be a good starting point for building a career in artificial intelligence and machine learning.

What are the key skills and qualifications needed to thrive as an AI Training Entry Level professional?

To thrive as an AI Training Entry Level professional, you need strong analytical thinking, attention to detail, and basic knowledge of data annotation or computer science concepts, often supported by a high school diploma or some college coursework. Familiarity with labeling tools, content management systems, and platforms such as Labelbox or Amazon SageMaker Ground Truth is typically required. Reliability, effective communication, and adaptability help you stand out in this position. These skills are crucial for producing high-quality, accurate training data that directly impacts the performance of AI models.

What are some common challenges faced by entry-level AI training specialists, and how can they overcome them?

Entry-level AI training specialists often encounter challenges such as understanding various data labeling guidelines, maintaining consistency in annotations, and adapting to fast-evolving project requirements. To overcome these hurdles, it's helpful to ask clarifying questions, actively participate in team discussions, and make use of available documentation and training materials. Building strong communication with team leads and quality assurance reviewers also ensures feedback is implemented quickly, leading to both personal growth and improved project outcomes.

What is the difference between Ai Training Entry Level vs Data Annotator?

AspectAi Training Entry LevelData Annotator
Required CredentialsHigh school diploma or equivalent; basic understanding of AI conceptsHigh school diploma; attention to detail
Work EnvironmentOffice or remote; collaborative with AI teamsRemote or on-site; focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI and ML models
Common Search IntentEntry-level AI roles, AI training jobsData labeling, annotation jobs

In summary, Ai Training Entry Level roles focus on assisting in training AI models by providing labeled data and understanding basic AI concepts, while Data Annotators primarily focus on labeling data to prepare datasets for AI training. Both roles are essential in AI development but differ slightly in scope and responsibilities.

What are the most commonly searched types of Ai Training jobs in Washington?

The most popular types of Ai Training jobs in Washington are:

What are popular job titles related to Ai Training Entry Level jobs in Washington?

For Ai Training Entry Level jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Ai Training Entry Level jobs in Washington look for?

The top searched job categories for Ai Training Entry Level jobs in Washington are:

Ai Training Entry Level jobs near you
Infographic showing various Ai Training Entry Level job openings in Washington as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 100% In-person job distribution.

Software Engineer - Entry Level

VivSoft Technologies

Herndon, VA • Remote

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Job Title: Software Engineer - Entry Level
Location: Remote
Clearance Required: Top Secret  
Position Type: Full-Time 
About the company:  
At VivSoft, we aim to solve complex federal problems using emerging and open technologies in a collaborative and rewarding environment. VivSoft is a diverse team of strategists, engineers, designers, and creators experienced in building high-performance, effective software, with a focus on impactful organisational design and software delivery dynamics. We build secure Software Factories based on DoD reference designs and NIST Frameworks for Cloud and DevSecOps. These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices for DoD, Healthcare and Civilian Agencies
Position Overview 
VivSoft Technologies is seeking an Entry Level Software Engineer to join the DCSA NBIS DISS/PVAAMS team. Working under the guidance of senior engineers, you will contribute to the development and sustainment of mission-critical personnel vetting software used across the Department of Defense. This is an excellent opportunity to grow your federal IT career in a modern cloud-native DevSecOps environment. 
ROLE SUMMARY
Applies fundamental concepts, processes, practices, and procedures on technical assignments. Performs work that requires practical experience and training. Work is performed under supervision. 0-2 years of work experience.
KEY RESPONSIBILITIES
•         Supports design, coding, testing, debugging, and implementation activities under the guidance of senior developers.
•         Assists in translating project requirements into working software components.
•         Follows established Agile methodologies and principles for software development.
•         Participates in code reviews and applies feedback to improve the quality and functionality of assigned work.
•         Helps identify and resolve basic technical issues and defects under supervision.
•         Documents work performed and contributes to technical documentation for assigned tasks.
•         Communicates status, questions, and blockers to supervisors and team members in a timely manner.
EDUCATION
•         Bachelor's degree in computer science, Information Technology, Software Engineering, or a related field, or equivalent practical experience.
REQUIRED QUALIFICATIONS
•         0-2 years of relevant work experience in software development or a related technical field.
•         Foundational knowledge of at least one programming language.
•         Basic understanding of software development lifecycle (SDLC) concepts.
•         Ability to work effectively under supervision as part of a team.
•         Strong verbal and written communication skills.
•         U.S. Citizenship and ability to obtain and maintain a federal security clearance/suitability determination, as required by the contract.
PREFERRED QUALIFICATIONS & SKILLS
•         Exposure to Agile/Scrum development environments.
•         Familiarity with version control tools such as Git.
•         Coursework or internship experience involving cloud platforms (e.g., AWS, Azure).
•         Willingness to learn new tools, languages, and frameworks as project needs evolve.
CERTIFICATIONS
•         Relevant industry certifications are a plus but not required (e.g., CompTIA Security+, AWS Cloud Practitioner).
Benefits:  
  • Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)  
  • Life Insurance  
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)  
  • 401K Retirement Plan with employer match  
  • Professional Development Training Reimbursement.

 

Powered by JazzHR

QLa8RzmXAc