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Entry Level Ai Data Trainer Jobs in Washington (NOW HIRING)

Nationwide IT Services

Palantir / AI Data Engineer

MD · On-site

Support development and sustainment of BI products, analytics solutions, and technical training ... AI-ready data structures. * Strong SQL and Python skills and experience integrating heterogeneous ...

New

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 ...

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Caplock Security LLC

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ... Learn and apply company data security and CMMC-aligned practices, particularly where proposal ...

New

Caplock Security LLC

AI Automation Engineer

Washington, DC · Remote

$80K - $145K/yr

About the Role Caplock Security is seeking an entry-level AI Automation Engineer to help design and ... Learn and apply company data security and CMMC-aligned practices, particularly where proposal ...

New

Deloitte

AI Engineer Consultant

Mclean, VA · Hybrid

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations ... Deliver governed datasets and feature engineering/serving for ML training and real-time inference ...

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Entry Level Ai Data Trainer information

What does an entry level AI data trainer do?

An Entry Level AI Data Trainer is responsible for preparing, labeling, and organizing data that is used to train artificial intelligence models. This involves tasks such as categorizing images, annotating text, and ensuring that data is accurate and relevant for machine learning algorithms. They work closely with data scientists and engineers to improve the quality of AI systems by providing clean and well-labeled datasets. The role is a great way to start a career in artificial intelligence, as it offers hands-on experience with data and insights into how AI models are developed.

What are the key skills and qualifications needed to thrive as an entry level AI data trainer?

To thrive as an Entry Level AI Data Trainer, you need strong analytical skills, attention to detail, and a foundational understanding of data annotation processes, often supported by a bachelor's degree in a related field. Familiarity with data labeling tools, content management systems, and basic programming or scripting (such as Python) is typically required. Excellent communication, teamwork, and adaptability help you effectively interpret guidelines and collaborate with cross-functional teams. These skills ensure high-quality data preparation, which is essential for developing accurate and reliable AI models.

What types of tasks and collaboration can I expect as an entry level AI data trainer?

As an Entry Level AI Data Trainer, you will primarily be responsible for labeling, annotating, and curating data sets to help improve machine learning models. Your daily tasks often include reviewing text, images, or audio and providing accurate labels according to detailed guidelines. You will frequently collaborate with data scientists, engineers, and other trainers to ensure consistency and quality in the data. This collaborative environment offers valuable exposure to the AI development process, and high performers often have opportunities to advance into more specialized roles over time.

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

AspectEntry Level Ai Data TrainerData Annotator
Required CredentialsHigh school diploma or equivalent; some roles prefer basic technical skillsHigh school diploma or equivalent; no specialized certifications typically needed
Work EnvironmentOffice or remote; collaborative with AI teamsOffice or remote; focused on labeling data
Employer & Industry UsageTech companies, AI startups, research labsTech companies, data labeling services, AI firms

While both roles involve working with data, Entry Level Ai Data Trainers focus on training AI models by providing structured data and feedback, often requiring some technical understanding. Data Annotators primarily label and categorize data to prepare datasets for AI training. The roles are similar in work environment and industry but differ in responsibilities and skill requirements.

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

The most popular types of Ai Data Trainer jobs in Washington are:

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

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

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

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

What cities in Washington are hiring for Entry Level Ai Data Trainer jobs?

Cities in Washington with the most Entry Level Ai Data Trainer job openings:

Entry Level Ai Data Trainer jobs near you
Infographic showing various Entry Level Ai Data Trainer job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Palantir / AI Data Engineer

Nationwide IT Services, Inc

Andrews, MD • On-site

$138K - $189K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Palantir / AI Data Engineer
LocationHybrid - Air National Guard Readiness Center (ANGRC), Joint Base Andrews, MD; up to 3 telework days per week. Remote work may be authorized by the Government on an exception basis. Occasional travel may be required.Security Clearance RequirementActive SECRET security clearance Position Summary
Nationwide IT Services, NIS, is seeking a Palantir / AI Data Engineer to develop, integrate, and sustain data and AI capabilities across Palantir Foundry, Envision, Maven, Vantage, AskSage, and connected enterprise repositories for a potential opportunity. The engineer will maintain semantic data layers, schemas, vector indexes, and AI-ready data products that enable natural-language, AI/ML, and mission analytics use cases across integrated ANG data sets.Key Responsibilities
  • Build, configure, maintain, and troubleshoot data products and workflows in Palantir Foundry and related Envision, Maven, and Vantage environments.
  • Structure and maintain semantic data layers, ontologies/data models, schemas, metadata, and vector-index configurations supporting AI/ML query processing.
  • Integrate Palantir and AskSage with Microsoft Azure, Azure Databricks, Advana/WDP, Power BI, and other CDAO repositories while preserving schema and data integrity.
  • Prepare and optimize enterprise data for retrieval, semantic search, vector-based retrieval, prompt/context engineering, and AI-assisted analysis.
  • Implement data quality, access control, least-privilege, encryption, lineage, and CUI-handling controls across AI-enabled data products.
  • Partner with data engineers and the Technical Lead to develop reliable ingestion and transformation pathways feeding Palantir/AI data products.
  • Validate AI data layers against Government-approved business definitions and functional requirements; investigate inaccurate, incomplete, or inconsistent AI responses attributable to data or semantic-layer issues.
  • Support development and sustainment of BI products, analytics solutions, and technical training involving Palantir and AI tools.
  • Create technical documentation, configuration guidance, troubleshooting procedures, and training materials for supported Palantir and AI capabilities.
Required Qualifications
  • Demonstrated hands-on experience with Palantir Foundry data engineering, modeling, application/analytics development, or platform administration.
  • Experience developing semantic layers, ontology/data models, vector indexes, embeddings/retrieval pipelines, or comparable AI-ready data structures.
  • Strong SQL and Python skills and experience integrating heterogeneous enterprise data sources.
  • Experience with AI/ML-enabled query, retrieval, prompt/context engineering, or enterprise generative-AI solutions such as AskSage or comparable platforms.
  • Understanding of data governance, lineage, access controls, security, and quality controls for enterprise and regulated data environments.
  • Must satisfy applicable DoD/DAF security, cybersecurity-awareness, CUI, OPSEC, and access-training requirements.
Preferred Qualifications
  • Experience with Palantir Envision, Maven, or Vantage.
  • Experience supporting DoD IL4/IL5 cloud environments, Advana/WDP, or Air Force/ANG mission data.

Why Join Nationwide IT Services?
Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. This role supports the Air National Guard Chief Data and Artificial Intelligence Office (CDAO), helping sustain and advance enterprise data, business intelligence, application, and AI capabilities that enable faster, data-driven mission decisions.
Our benefits package includes medical, dental, and vision insurance, life and disability insurance, a 401(k) plan with employer match, paid holidays, PTO (sick/vacation), commuter benefits, employee assistance program (EAP), educational reimbursement, and pet insurance.
Salary range: $138,000 to $189,000 annually
The salary range is a general guideline. We consider several factors when determining base salary offers, including the position's scope and responsibilities, the candidate's experience, education, and skills, and current market conditions.

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