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Ai Task Jobs in Washington (NOW HIRING)

Spear AI

Mission Engineer

Washington, DC · On-site

Your work will start with the IC at an AI Task Force -- an elite team modeled after Project Maven -- which has the mission to provide the IC with foundational, enterprise-wide AI capabilities. You ...

Spear AI

Mission Engineer

Washington, DC · On-site

Your work will start with the IC at an AI Task Force -- an elite team modeled after Project Maven -- which has the mission to provide the IC with foundational, enterprise-wide AI capabilities. You ...

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

You will enable AI to handle specialized tasks--architecture planning, frontend/backend development, debugging, and security reviews--while maintaining context isolation. Responsibilities * Subagent ...

ManTech

Senior Data Manager

Springfield, VA · On-site

Experience collaborating with government leads and AI Task Forces to align AI policies across client organizations. * Demonstrated experience providing technical insights and implementation support ...

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Ai Task information

What is an AI task?

AI tasks are specific activities or problems that artificial intelligence systems are designed to perform or solve. These can range from natural language processing, image recognition, and data analysis to autonomous decision-making and recommendation systems. AI tasks are typically defined based on the goals of an AI project and can be performed by machine learning models, algorithms, or other intelligent software. Understanding the nature of a particular AI task is crucial for choosing the right tools and methods to solve it effectively.

What are some common challenges faced by AI task specialists when working on multi-disciplinary teams?

AI Task specialists often collaborate with data scientists, software engineers, product managers, and domain experts. A common challenge is translating complex technical concepts into actionable insights for non-technical stakeholders while ensuring that the AI models align with business objectives. Balancing competing priorities, such as model accuracy versus deployment speed, and managing expectations around AI capabilities can also be demanding. Effective communication and adaptability are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as an AI (Artificial Intelligence) engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and programming, typically supported by a relevant degree. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and familiarity with cloud platforms is essential, and certifications in data science or AI can be advantageous. Strong problem-solving abilities, creativity, and effective communication skills help AI Engineers design innovative solutions and explain complex concepts to diverse stakeholders. These skills ensure successful development, deployment, and integration of AI technologies in real-world applications.

What is the difference between Ai Task vs Data Annotator?

AspectAi TaskData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data labelingMinimal formal education, training in annotation tools often provided
Work EnvironmentRemote or on-site, often part of AI development teamsPrimarily remote, working with datasets and annotation platforms
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and data science
Search & Comparison IntentUnderstanding roles in AI projects, job requirementsClarifying data labeling tasks and skills needed

Ai Tasks involve a range of activities related to training AI models, including data labeling, model testing, and algorithm development. Data Annotators specifically focus on labeling and annotating datasets to train machine learning models. While both roles support AI development, Ai Tasks encompass broader responsibilities, whereas Data Annotators primarily handle data preparation.

Ai Task jobs near you
Infographic showing various Ai Task job openings in Washington as of August 2026, with employment types broken down into 74% Full Time, 17% Part Time, 2% Temporary, and 7% Contract. Highlights an 60% Physical, 4% Hybrid, and 36% Remote job distribution.

Mission Engineer

Washington, DC • On-site

Spear AI
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Spear AIexternal

Full-time

Re-posted yesterday

Key responsibilities

  • Translate mission needs into technical solutions by acting as a link between operators, analysts, and technical teams.

  • Identify and shape operational use cases that can be enhanced or enabled by AI/ML capabilities.

  • Support field testing, performance evaluations, and operationalization of new tools in a fast-paced, iterative environment.

Job description

Mission Engineers (MEs) are at the tip of the Spear leading customer engagements and understanding the pain points and issues within current technology. You will design end to end solutions to solve some of the hardest problems within the national security enterprise.

MEs deploy modern technical solutions to solve problems that people are directly affected by. Projects can start with simple questions, like "How could AI help me analyze intelligence reports better" or "How do I write an Operational Report faster?" MEs lead the development of solutions to the questions, from high-level system design and prototyping to application development and data integration. As an ME you leverage Spear AI's core product offering, open source technologies, and whatever you can build to succeed.

Your work will start with the IC at an AI Task Force -- an elite team modeled after Project Maven -- which has the mission to provide the IC with foundational, enterprise-wide AI capabilities. You will be on the ground floor of this organization as it creates the future technology that will power the US Intelligence Community.

You'll learn how to understand and deconstruct complex problems and analyze the tradeoffs in any solution you propose and create. You'll learn how to apply Artificial Intelligence to massive data sets, and along the way you'll learn new technologies, techniques, and languages. You'll work autonomously and make decisions independently, sometimes alone and unafraid, but often with a community that will support and challenge you as you grow and develop.
Responsibilities
  • Act as the connective tissue between operators, analysts, and technical teams to translate mission needs into technical solutions.
  • Identify, articulate, and shape operational use cases that can be enhanced or enabled by AI/ML capabilities.
  • Interface with DIA leadership, developers, and external stakeholders to align product development with mission-critical needs.
  • Drive feedback loops between end users and engineers to ensure delivered solutions are impactful and relevant.
  • Support field testing, performance evaluations, and operationalization of new tools in a fast-paced, iterative environment.
Requirements
  • Active Top Secret clearance, with the ability to receive access to Sensitive Compartmented Information
  • A strong software engineering background, with formal education in Computer Science preferred
  • Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools
  • Understanding of how technical decisions impact the user of what you're building
  • Demonstrated ability to work in classified environments and liaise across operational and technical stakeholders
  • Strong written and verbal communication skills, especially in conveying technical ideas to non-technical audiences.
  • Familiarity with AI/ML systems and their operational applications is highly preferred.
  • Military background or previous IC/DoD experience is a strong plus.
  • Willingness and interest to travel as needed
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About Spear AI

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2020

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