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Ai Tasker Jobs in Virginia (NOW HIRING)

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

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

No prior experience in AI is required -- your domain knowledge is what matters. Key ... Capture precise motion data using your smartphone during specified physical tasks. * Supported ...

Create objective evaluation frameworks and grading criteria to assess AI performance on contract tasks with rigor and consistency. * Collaborate with product and research teams to refine data ...

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Ai Tasker information

What are the key skills and qualifications needed to thrive in the Ai Tasker position, and why are they important?

To thrive as an AI Tasker, you need a strong understanding of artificial intelligence concepts, data analysis, and problem-solving abilities, often supported by a background in computer science or a related field. Familiarity with AI platforms, automation tools, and workflow management systems is typically required, along with knowledge of APIs and task management software. Strong communication, attention to detail, and adaptability help AI Taskers excel when collaborating and managing diverse, technology-driven assignments. These capabilities are critical for ensuring accurate execution of AI-powered tasks and effective integration with business processes.

What is an AI Tasker job?

An AI Tasker is responsible for training, testing, and refining artificial intelligence models by completing various tasks such as labeling data, reviewing AI-generated content, and providing feedback on model outputs. This role helps improve AI systems by ensuring accuracy and relevance in their responses. AI Taskers often work remotely and require attention to detail, critical thinking skills, and familiarity with AI tools.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in AI tools and frameworks, and they are found in industries like technology, finance, and healthcare.

What does a typical day look like for someone working as an AI Tasker?

As an AI Tasker, your day often involves reviewing and managing a variety of AI-assisted assignments such as data categorization, process automation, or QA testing on digital platforms. You may coordinate with team members to clarify project requirements, set priorities, and troubleshoot technical issues that arise during task execution. Regular collaboration with both AI engineers and project managers helps ensure deliverables meet quality standards and deadlines. The workload can be dynamic, requiring flexibility and proactive communication to handle shifting project demands efficiently.

What is an AI tasker?

An AI tasker is a person who completes tasks or projects that involve artificial intelligence technologies, such as data labeling, model training, or automation. They often work remotely, using specialized tools and platforms to perform these tasks efficiently and accurately.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day include specialized roles such as AI Taskers working on complex projects, freelance consultants, surgeons, or senior executives. These positions typically require advanced skills, significant experience, or certification, and often involve high-demand industries or freelance work with premium clients.

What's the easiest AI job to get?

Entry-level AI-related roles such as data labeling, annotation, or basic AI testing are often the easiest to obtain, especially with minimal technical experience. These positions typically require attention to detail, basic computer skills, and familiarity with AI tools or platforms, and they often serve as stepping stones into more advanced AI roles.
What are the most commonly searched types of Ai Tasker jobs in Virginia? The most popular types of Ai Tasker jobs in Virginia are:
What are popular job titles related to Ai Tasker jobs in Virginia? For Ai Tasker jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Ai Tasker jobs in Virginia look for? The top searched job categories for Ai Tasker jobs in Virginia are:
What cities in Virginia are hiring for Ai Tasker jobs? Cities in Virginia with the most Ai Tasker job openings:
Infographic showing various Ai Tasker job openings in Virginia as of July 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 75% In-person, and 25% Remote job distribution.

AI Agent Engineer

Tror AI for everyone

Mclean, VA • On-site

Contractor

Re-posted 24 days ago


Job description

Job Title: - Senior AI Agent Engineer

Location: - McLean, VA - 5 days onsite

Employment Type: - Contract

Need 10+ years of experience resumes and need locals to VA or nearby location.

Job Description: -

We are seeking a forward-thinking AI SDLC Engineer to transform our development processes from linear automation to an agentic, multi-agent workflow. The ideal candidate will design, build, and deploy specialized AI subagents (e.g., using frameworks like LangChain, CrewAI, or Claude Code) that collaborate to create production-grade software. You will enable AI to handle specialized tasks—architecture planning, frontend/backend development, debugging, and security reviews—while maintaining context isolation. Responsibilities

• Subagent Architecture & Creation: Design and implement task-specific AI subagents (e.g., ""Code Reviewer,"" ""SQL Expert,"" ""Frontend Builder"") with dedicated system prompts, tool access, and context boundaries.

• Orchestration & Workflow Automation: Build orchestration logic to manage the lifecycle of subagents (initialization, delegation, execution, and cleanup) using agentic frameworks.

• AI-Driven SDLC Integration: Implement agentic workflows across the entire SDLC, from requirements gathering and architecture design to automated testing, code review, and deployment.

• Context & Memory Management: Optimize AI performance by isolating noisy, long-running tasks into subagents, ensuring the main agent remains efficient and context-aware.

• Tooling & Integration: Integrate AI agents with internal development tools, including Bitbucket, Jira, ServiceNow and CI/CD pipelines.

• Performance Evaluation: Monitor, evaluate, and refine agentic workflows to improve code quality, reduce toil, and accelerate release cycles