ZipRecruiter

Log In

1

After School Data Annotation Tech Jobs in Virginia

Aston Carter

Paralegal

Fairfax, VA · On-site

$125/hr

Comfort working with AI tools, AI training workflows, data annotation, and large language models (LLMs). * Tech-savvy mindset and ability to learn and apply new technologies quickly. * Comfortable ...

YMCA of Metropolitan Atlanta

Under the direction of the Afterschool Program Director(s), the Afterschool Site Director is ... technology platforms such as Google Classroom and Zoom * Must pass a Fingerprint check through ...

M9 Solutions

Federal AI Engineer

Fort Belvoir, VA · On-site

$138K - $153K/yr

... annotation processes to enrich unstructured data, leveraging a variety of data sources (social ... A minimum of five years of Artificial Intelligence, Information Technology, and/or Data Science ...

Unissant

Data Scientist

Ashburn, VA · On-site

$99K - $164K/yr

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results ... Support exploratory data analysis, feature development, image-data preparation, annotation ...

previous pagenext page

Showing results 21-40

All JobsData Annotation Tech JobsAfter School Data Annotation Tech JobsAfter School Data Annotation Tech Jobs in Virginia

After School Data Annotation Tech information

What is an after school data annotation tech?

After School Data Annotation Techs are individuals, often students or part-time workers, who assist in labeling and categorizing data—such as images, audio, or text—after regular school hours. Their work helps train artificial intelligence and machine learning models by providing accurately tagged datasets. These positions are a great way for students to gain experience with technology and contribute to real-world AI projects while managing their academic responsibilities. Tasks may include identifying objects in images, transcribing audio, or classifying text according to specific criteria.

What are the key skills and qualifications needed to thrive as an after school data annotation tech, and why are they important?

To thrive as an After School Data Annotation Tech, you need attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms, spreadsheet software, and occasionally proprietary AI tools is typically required. Strong time management, communication skills, and a commitment to accuracy help individuals excel in this role. These abilities are crucial for ensuring high-quality, reliable data that supports effective machine learning model training.

What are some common challenges faced by after school data annotation techs, and how can they be overcome?

After School Data Annotation Techs often encounter challenges such as maintaining high accuracy while labeling large volumes of data, staying focused during repetitive tasks, and adapting quickly to changing project guidelines. To overcome these, it's helpful to develop strong attention to detail, take regular short breaks to avoid fatigue, and actively communicate with supervisors when clarification is needed. Collaborating with teammates and participating in team check-ins can also help ensure consistency and provide support for troubleshooting difficult cases.

What is the difference between After School Data Annotation Tech vs Data Labeling Associate?

AspectAfter School Data Annotation TechData Labeling Associate
CredentialsHigh school diploma or equivalent; training in data annotation toolsHigh school diploma or equivalent; training in labeling software
Work EnvironmentIndoor, office or remote settings, often part-timeIndoor, office or remote settings, often part-time
Industry UsageEducation technology, AI data preparationAI, machine learning, data processing
Job FocusAnnotating data for educational projects or AI modelsLabeling data for AI training datasets

Both roles involve data annotation and labeling, often requiring similar skills and environments. The main difference lies in their specific industry focus: After School Data Annotation Tech typically works on educational or AI projects related to education, while Data Labeling Associates focus on AI and machine learning data preparation across various industries.

What are the most commonly searched types of Data Annotation Tech jobs in Virginia?

The most popular types of Data Annotation Tech jobs in Virginia are:

What are popular job titles related to After School Data Annotation Tech jobs in Virginia?

For After School Data Annotation Tech jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching After School Data Annotation Tech jobs in Virginia look for?

The top searched job categories for After School Data Annotation Tech jobs in Virginia are:

After School Data Annotation Tech jobs near you
Infographic showing various After School Data Annotation Tech job openings in Virginia as of September 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 100% In-person job distribution.

Lead Software Product Engineer

Falls Church, VA • On-site

Enabled Intelligence
11 - 50 employees
Learn more about Enabled Intelligenceexternal

$130K - $160K/yr

Full-time

Posted 13 days ago

Job description

Lead Software Product Engineer About Enabled Intelligence, Inc. Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation. At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved! If the idea of working in a collaborative, energetic and people focused environment where we are working together to build something meaningful excites you, Enabled Intelligence might just be the team you are looking for! Lead Software Product Engineer Enabled Intelligence has built and continues to develop and maintain a suite of software products (Enki) for internal and customer use. The Lead Product Engineer is responsible for full lifecycle technical ownership and management of the Enki product line including managing the product roadmap, ensuring product functionality, developing new product features and enhancements. The Lead Product Engineer will work directly with internal users and customers to understand Enki future requirements, enhancement/upgrade request, and resolve product functionality issues. The Lead Product Engineer is a hands-on role requiring both direct coding and software development as well as overall product technology strategy informed by technology advances, market trends, and user feedback and requests.Responsibilities Managing the roadmap, priorities, and codebase for the EI's Enki Product Line including: metrics dashboard (Enki Insights), EI data annotation job aid tool (Enki Job Aid), and EnkI OrchestrationMaintaining product functionality and useMaintaining up to date product documentation,Meet with product users to identify and prioritize feature requestsWork with and manage an external software developer to finalize the next release of the productsManage and code future product updates, enhancements, and featuresRequired Qualifications and Skills Active Secret Security Clearance with ability to obtain a TS-SCI clearance.US CitizenshipMinimum 2 years experience as a software product managerMinimum of 5 years experience writing production applications in Python and web frameworks including DjangoExperience developing and maintaining database schemas in MySQL and PostgresDeep understanding of SQL languageExperience eliciting, managing and prioritizing feature requests from product usersDesired Qualifications and Skills:Active TS us security clearance Experience building dashboards, preferably using GrafanaExperience with mitigating and remediating security vulnerabilitiesPhysical Requirements Prolonged periods of sitting at a desk and working on a computer Background Check & Security Clearance Applicants selected will be subject to background investigation and must have an active Secret Security clearance and the ability to obtain a TS-SCI clearance.
Job Posted by ApplicantPro