1

Ai Task Jobs in Washington (NOW HIRING)

This position focuses on task management, workforce upskilling, and promoting the adoption of Artificial Intelligence (AI) and Data best practices within the ODNI. The ideal candidate should exhibit ...

AI Engineer

Washington, DC · Remote

$41.85/hr

Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution * Implement end-to-end AI/ML and GenAI projects, from understanding business needs ...

AI Engineer

Washington, DC · Remote

$41.85/hr

Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution * Implement end-to-end AI/ML and GenAI projects, from understanding business needs ...

AI Engineer

Washington, DC · On-site

$52.85/hr

Build and deploy agentic AI systems capable of autonomous decision-making, tool use, and multi-step task execution * Implement end-to-end AI/ML and GenAI projects, from understanding business needs ...

Senior AI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and ... Build automated evaluation frameworks to measure agent quality, reliability, task completion, and ...

New

Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. * Build and orchestrate multi‑agent workflows using modern AI frameworks and tooling.

... task orders defined by individual departments. Personnel Requirements - Must possess certifications in AI/ML technologies or frameworks, such as: • AWS AI • Google TensorFlow • Or equivalent ...

Agentic AI Developer

Columbia, MD · On-site

$69K - $125K/yr

Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. * Build and orchestrate multi-agent workflows using modern AI frameworks and tooling.

Direct technical execution of all tasks including AI integration planning, data interoperability, API configuration, and system verification. * Evaluate AI tool suitability and analyze system ...

Agentic AI Developer

Columbia, MD · On-site

$69K - $125K/yr

Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. Build and orchestrate multi-agent workflows using modern AI frameworks and tooling. Develop ...

Performs multiple engineering-related tasks in various assignments within the project and firm. An ... Evaluate potential AI technologies, models, tools, frameworks, and architectures and recommend ...

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. Build and orchestrate multi-agent workflows using modern AI frameworks and tooling. Develop ...

Agentic AI Developer

Chantilly, VA · On-site

$69K - $125K/yr

Key Responsibilities: • Design and develop autonomous AI agents capable of reasoning, planning, and executing tasks independently. • Build and orchestrate multi-agent workflows using modern AI ...

Showing results 41-60

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.

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.

Data & AI Champion

Bethesda, MD • On-site

Cornerstone Defense
Library and Information Services • 51 - 200 employees

Contractor

Re-posted 2 days ago


Key responsibilities

  • Assist with managing and coordinating team tasking to ensure high-quality, accurate work products for government stakeholders

  • Support the design and implementation of plans to upskill the customer workforce on AI and Data capabilities

  • Contribute to developing and executing strategies to promote workforce adoption of AI tools and Data best practices


Job description

  • Location: Bethesda, Maryland
  • Type: Contract
  • Job #3906

Position - Data & AI Champion
Work Location - Bethesda, MD
Security Clearance - TS/SCI with CI Polygraph
Company Overview:

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Data & AI Champion-
Seeking a proactive and detail-oriented Program Support Team Member to support the Chief AI Officer and Chief Data Officer (CAIO/CDO) of one of our Intelligence customers. This position focuses on task management, workforce upskilling, and promoting the adoption of Artificial Intelligence (AI) and Data best practices within the ODNI.
The ideal candidate should exhibit strong leadership qualities, take initiative, and demonstrate the ability to guide efforts and collaborate effectively with team members and stakeholders. A strong candidate will have a solid familiarity with AI and Data concepts and a willingness to cultivate technical expertise on the job.
Primary Responsibilities
Task and Deliverable Management:
  • Assist with managing and coordinating team tasking, ensuring that work products are high-quality, accurate, and presentation-ready for government stakeholders.
  • Track progress, prioritize tasks, and contribute to meeting deadlines aligned with CAIO/CDO objectives.
  • Workforce Upskilling and Development:

  • Support and champion the design and implementation of plans to upskill the customer workforce on Artificial Intelligence and Data-related capabilities.
  • Research and recommend training resources, learning opportunities, and strategies for technical skill enhancement.
  • Workforce Adoption of AI and Data Practices:

  • Contribute to the development and execution of strategies to facilitate workforce adoption of AI tools, technologies, and Data best practices.
  • Work collaboratively to promote workforce engagement and successful integration of AI and Data practices into customer operations.
  • Collaboration and Team Engagement:

  • Serve as a reliable and supportive teammate, offering guidance and ensuring alignment of efforts with broader mission objectives.
  • Exhibit strong collaboration and interpersonal skills to foster effective communication and teamwork.
  • Stakeholder Support:

  • Collaborate with government customers and other stakeholders to ensure deliverables and initiatives align with customer mission needs.
  • Assist in preparing briefings, updates, and documentation as required by customer leadership.

Qualifications:
  • Active TS/SCI with Poly is Required.
  • Bachelor's degree with 8+ years of relevant experience, Associate's degree with 10+ years of relevant experience, or Master's degree with 6+ years of relevant experience.
  • Strong task management and organizational skills, including attention to detail and delivering high-quality work.
  • Familiarity with AI and Data concepts (deeper expertise can be developed on the job but must be familiar with various LLMs and their strengths and capabilities as well as a strong grasp of data analytics).
  • Excellent interpersonal and communication skills to collaborate effectively with stakeholders and contribute to team success.
  • Proven ability to take initiative, demonstrate leadership qualities, and provide informal guidance within a team setting.

Preferred Qualifications:
  • Experience working in a government or Intelligence Community (IC) setting.
  • Familiarity with organizational change management and workforce transformation initiatives.
  • Ability to learn new technical concepts, such as AI tools and data frameworks, as part of on-the-job development.
  • Certifications in project management (e.g., PMP) or related disciplines are a plus.
  • Experience working with senior government personnel.