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Assistant Artificial Intelligence Trainer Jobs (NOW HIRING)

Intern, Artificial Intelligence

Jericho, NY

$15.50 - $20.75/hr

... by assisting with artificial intelligence initiatives, automation projects, and data-driven ... Support department initiatives through research, documentation, and project coordination * Assist ...

... assistants and specialized programming ResponsibilitiesUnderstand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract ...

We are looking to add an experienced Artificial Intelligence (AI) Engineer to our dynamic team and ... Collaborate with the DevOps team to automate build, deployment and testing processes. * Assist in ...

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As of Jun 10, 2026, the average yearly pay for assistant artificial intelligence trainer in the United States is $42,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,000.00 and $50,500.00 per year, depending on experience, location, and employer.
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Intermediate Artificial Intelligence Analyst

Intermediate Artificial Intelligence Analyst

Chenega MIOS SBU

Arlington, VA • On-site

Full-time

Posted 10 days ago


Job description

Job Summary:
Chenega MIOS is a company that supports large-scale government operations by leveraging cutting-edge technology. The Intermediate Artificial Intelligence Analyst provides scientific, engineering, and technical expertise in AI to support Army technology initiatives.
Responsibilities:
• Analyze, evaluate, revise, and/or generate draft artificial intelligence documentation for Government review and approval, including policy documents, letters of agreement, memoranda of understanding, Mission Needs Statements, Concepts of Operation (ConOps), Operational Requirements Documents, system specifications, Test and Evaluation Master Plans, and training documentation.
• Conduct research activities for exploratory and advanced AI projects to advance technological capabilities.
• Evaluate industry, outside agencies, and university technologies for applicability to Army Intelligence AI and adopt technologies as appropriate.
• Develop and evaluate AI and data system requirements to determine technical feasibility and functional adequacy for current and future systems.
• Have a clear understanding of the MLOps pipeline to support an end-to-end workflow that manages the entire lifecycle of machine learning models—from data ingestion and preprocessing to model training, evaluation, deployment, and monitoring.
• Integrate emerging technological advances and evolving Army materiel requirements into the execution of technical tasks.
• Maintain direct and continuing technical liaison with Government offices, laboratories, contractors, and academic institutions in the AI technical domain.
• Provide support for studies, technology evaluations, and the development, review, and maintenance of policy, technical, and doctrinal documentation, repositories, and databases.
• Support the planning, management, and execution of representative systems and associated technical activities.
• Participate in conferences, briefings, meetings, working groups, and teams, including the creation and delivery of high-quality briefing materials and tracking of action items.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor’s of Science in a Science, Technology, Engineering, or Math field and 15+ years of experience OR
• Master’s of Science in a Science, Technology, Engineering, or Math field and 10+ years of experience OR
• PhD of Science in a Science, Technology, Engineering, or Math field and 5+ years of experience
• Active TS/SCI clearance required
• Demonstrated knowledge of AI, including feasibility analysis and performance requirements
• Deep understanding of Machine Learning (ML) lifecycle
Preferred:
• AWS Certified AI Practitioner or comparable certification
Company:
Chenega MIOS (Military, Intelligence, and Operations Support) brings together a family of high‑performing companies united by a common purpose: supporting the most critical missions of the federal government, the Department of Defense, and the Intelligence Community. Founded in 2010, the company is headquartered in Lorton, VA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.