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Hourly Remote Data Annotation Jobs in Virginia (NOW HIRING)

ManTech

Data and AI Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

There are differentiating factors that can impact a final salary/hourly rate, including, but not ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

ManTech

Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

MANTECH seeks a Solution Engineer specialized in data engineering, data science, and machine ... There are differentiating factors that can impact a final salary/hourly rate, including, but not ...

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Hourly Remote Data Annotation information

What are the key skills and qualifications needed to thrive as an Hourly Remote Data Annotation Specialist, and why are they important?

To excel as an Hourly Remote Data Annotation Specialist, you need strong attention to detail, accuracy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Proficiency with annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes basic knowledge of spreadsheets or image/video editing software is typically required. Reliability, time management, and clear communication are vital soft skills for succeeding in a remote, deadline-driven environment. These abilities ensure high-quality, consistent annotations that are critical for training AI models and meeting project requirements.

What are some common challenges faced by hourly remote data annotation workers and how can they be addressed?

Hourly remote data annotation workers often encounter challenges such as repetitive tasks, maintaining high accuracy, and managing time effectively without direct supervision. To address these, it's important to establish a structured daily routine, take regular breaks to prevent fatigue, and utilize any quality control guidelines provided by the employer. Staying in regular communication with team leads or project managers can also help clarify any ambiguities and ensure consistent work quality.

What is the difference between Hourly Remote Data Annotation vs Hourly Remote Data Labeling?

AspectHourly Remote Data AnnotationHourly Remote Data Labeling
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageCommon in AI/ML projects for training dataCommon in AI/ML projects for training data
Job FocusAdding annotations to data (e.g., bounding boxes, tags)Assigning labels to datasets for model training

Both roles involve working remotely to prepare data for machine learning models. Data annotation typically involves marking specific features within data, while data labeling involves categorizing data into predefined classes. The skills and work environment are similar, making them closely related but distinct tasks within AI data preparation.

What is hourly remote data annotation?

Hourly remote data annotation involves labeling or categorizing data, such as images, text, or audio, for use in machine learning and artificial intelligence projects. Annotators work from home and are usually paid by the hour to review and tag data according to specific guidelines provided by the employer. This work is essential for training algorithms to recognize patterns or interpret information accurately. Data annotation tasks vary and can include image classification, text categorization, or identifying objects within media. It’s a popular entry-level remote job that requires attention to detail and the ability to follow instructions closely.
What are the most commonly searched types of Remote Data Annotation jobs in Virginia? The most popular types of Remote Data Annotation jobs in Virginia are:
What are popular job titles related to Hourly Remote Data Annotation jobs in Virginia? For Hourly Remote Data Annotation jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Annotation jobs in Virginia look for? The top searched job categories for Hourly Remote Data Annotation jobs in Virginia are:
What cities in Virginia are hiring for Hourly Remote Data Annotation jobs? Cities in Virginia with the most Hourly Remote Data Annotation job openings:
Hourly Remote Data Annotation jobs near you
Infographic showing various Hourly Remote Data Annotation job openings in Virginia as of July 2026, with employment types broken down into 73% Full Time, 16% Part Time, and 11% Contract. Highlights an 11% In-person, and 89% Remote job distribution.
Data and AI Solution Engineer

Data and AI Solution Engineer

ManTech

Herndon, VA • Remote

$179K - $318K/yr

Other

Medical, Life, Retirement, PTO

Posted 15 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

30th of 209 rated software companies

Job description

Description & Requirements
Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

MANTECH seeks a Solution Engineer specialized in Generative AI and Rapid Prototyping to support our growing Data and AI Practice.

You will collaborate with Solution Specialists, Practice Growth Partners, Capture Managers, and Technical and Business SMEs to shape and deliver compelling, visually impactful technical solutions and pre-sales deliverables that align with client missions and MANTECH's AI strategic vision. This role heavily emphasizes designing and building technical demonstrations that showcase cutting-edge applications of generative AI and rapidly creating proofs-of-concept for a broad range of AI-related capabilities by leveraging AI-assisted software development tools.

Responsibilities Include (but are not limited to):

  • Develop and deliver highly impactful technical demonstrations, rapid proof-of-concepts (PoCs), and whitepapers to showcase Data and AI Practice capabilities, including Generative AI, Agentic AI, and Automation.

  • Utilize AI-assisted software development practices to rapidly turn abstract mission requirements into functional, high-fidelity mockups and demos.

  • Support opportunity shaping and qualification efforts through technical research and solutioning activities across Intel, Homeland Security, Defense, Space, and Commercial sectors.

  • Translate complex mission needs into feasible and differentiated technical approaches, with a heavy emphasis on front-end UI/UX clarity to ensure maximum demo impact.

  • Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies, government compliance requirements, and integration methods with enterprise systems.

  • Participate in color team reviews and lead the refinement of solution content throughout the proposal lifecycle.

  • Draft and contribute to technical volumes of RFI and RFP responses, ensuring alignment with customer requirements and mission objectives.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

  • 10+ years of experience in IT solution development, systems engineering, or pre-sales engineering.

  • Strong proficiency in Python as a core scripting and orchestration language, with proven experience using Generative AI tools and applying advanced prompt engineering techniques.

  • Experience designing clean, intuitive user interfaces for technical demonstrations, recognizing that a demo's impact hinges on visual clarity and user experience.

  • Experience working within the Intelligence Community, DoD, or FedCiv markets.

  • Strong working knowledge of Cloud Services (e.g., AWS, Azure, GCP, OCI) and Data Visualization tools.

  • Experience responding to RFIs/RFPs and working on proposal teams in government contracting environments.

Preferred Qualifications:

  • Experience with AI-assisted software development tools (e.g., GitHub Copilot, Cursor) to accelerate prototyping cycles.

  • Understanding of Agentic AI frameworks and the deployment of autonomous AI agents.

  • Hands-on proficiency with specialized GenAI and LLM hosting platforms such as AWS Bedrock.

  • Familiarity with tools such as Jupyter, Snorkel, or similar collaboration and prototyping environments.

  • Background in implementing AI solutions in secure or classified environments.

Clearance Requirements:

  • Must have a current/active TS/SCI clearance.

Physical Requirements:

  • Constantly operates a computer and other productivity machinery.

  • Must be able to remain in a stationary position for prolonged periods.

  • Travel may be required to support client meetings, technical demonstrations, or proposal efforts.


The projected compensation range for this position is $179,300.00-$318,400.00. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories.  In addition, MANTECH invests in its employees beyond just compensation.  MANTECH's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.

MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

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