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Ai Tasker Jobs in Silver Spring, MD (NOW HIRING)

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Ai Tasker information

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How much do ai tasker jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ai tasker in Silver Spring, MD is $53.43, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $60.14 per hour, depending on experience, location, and employer.

What is the easiest AI Tasker job to get?

The easiest AI Tasker jobs are typically entry-level tasks such as data labeling, content moderation, or simple data entry, which often require minimal experience and can be completed remotely. These roles usually involve following clear instructions and may require basic computer skills or familiarity with AI tools. They are often available through online platforms that connect freelancers with short-term or micro-tasks.

What are the key skills and qualifications needed to thrive as an AI Tasker?

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?

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 does an AI Tasker do?

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 are the most commonly searched types of Ai Tasker jobs in Silver Spring, MD?

The most popular types of Ai Tasker jobs in Silver Spring, MD are:

What are popular job titles related to Ai Tasker jobs in Silver Spring, MD?

For Ai Tasker jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Ai Tasker jobs in Silver Spring, MD look for?

The top searched job categories for Ai Tasker jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Ai Tasker jobs?

Cities near Silver Spring, MD with the most Ai Tasker job openings:

Senior .NET Azure AI Developer 102156 with Security Clearance

Information Technology Engineering Corporation

Woodlawn, MD โ€ข On-site

$57.25 - $71/hr

Other

Re-posted 25 days ago


Job description


Sr. .NET Azure AI Developer 
Location: Woodlawn, MD 
Required Clearance: Public Trust  Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.  U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.  Job Description: We are seeking a talented Senior .NET Azure AI Developer to join our team. In this role, you will design, develop, and maintain scalable software solutions leveraging the Microsoft Azure platform and cutting-edge AI technologies. The ideal candidate will demonstrate deep expertise in C#, NodeJS and possess strong experience with cloud services, AI/Machine Learning concepts, and modern DevOps practices.  Job Responsibilities: * Design, develop, and maintain robust, scalable applications using .NET and ASP.NET Core. * Implement and manage solutions on the Azure platform, including deployment, monitoring, and scaling of applications. * Integrate AI capabilities using Azure AI tools such as Azure Machine Learning and Cognitive Services. * Develop and secure RESTful APIs for seamless application integration. * Practice DevOps principles, utilizing Azure DevOps for CI/CD pipelines, version control (Git), and automated testing. * Create and maintain infrastructure as code using Bicep scripts for Azure resource provisioning and management. * Collaborate with cross-functional teams to define, design, and ship new features. 
Required Skills: Programming & Development: * Deep expertise in C# and the .NET framework, including modern features. * Experience with Python or Node.js for application development, data processing, or specific AI tasks. * Experience with client-side technologies and modern front-end frameworks such as Angular or React. * Strong SQL skills, including query optimization and database design. * Experience with commercial development processes, including Agile methodologies (Scrum/Kanban), unit testing, and debugging complex systems. 
Cloud & Infrastructure: * Proficiency in Microsoft Azure services, including App Services, Azure Functions, Blob Storage, and SQL/Cosmos DB. * Hands-on experience with Bicep scripting for infrastructure as code and Azure resource management. * Strong DevOps background with Azure DevOps, CI/CD pipeline development, and automation. * Experience with Kubernetes, Terraform, or other orchestration and infrastructure tools. * Working knowledge of Docker for containerizing and deploying applications. 
AI/ML & Data: * Familiarity with core AI/Machine Learning concepts and hands-on experience using Azure Open AI APIs and tools. * Experience with both relational databases (SQL Server, PostgreSQL) and NoSQL databases (Cosmos DB).