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Contract Ai Data Annotation Jobs in Virginia (NOW HIRING)

Guidehouse

AI & Data - Program Manager

Mclean, VA

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Manage program financials, budgeting, forecasting, and contract performance. * Establish and ...

Guidehouse

AI & Data - Program Manager

Mclean, VA · On-site

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Manage program financials, budgeting, forecasting, and contract performance. * Establish and ...

Guidehouse

AI & Data - Program Manager

Mclean, VA · On-site

Guidehouse is seeking a Program Manager to lead a large, complex, regulator-facing data and AI ... Manage program financials, budgeting, forecasting, and contract performance. * Establish and ...

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All JobsContract Ai Data Annotation JobsContract Ai Data Annotation Jobs in Virginia

Contract Ai Data Annotation information

What is a contract AI data annotation?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What are the key skills and qualifications needed to thrive as a contract AI data annotation specialist?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

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

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

What are popular job titles related to Contract Ai Data Annotation jobs in Virginia?

For Contract Ai Data Annotation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Contract Ai Data Annotation jobs in Virginia look for?

The top searched job categories for Contract Ai Data Annotation jobs in Virginia are:

What cities in Virginia are hiring for Contract Ai Data Annotation jobs?

Cities in Virginia with the most Contract Ai Data Annotation job openings:

Contract Ai Data Annotation jobs near you
Infographic showing various Contract Ai Data Annotation job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

AI & Data Analytics Lead with Security Clearance

Anonymous Employer

Arlington, VA • On-site

Other

Re-posted 5 days ago

Job description

Location: Hybrid; remote/onsite in Arlington, VA We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making. Required Qualifications: - 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
- Experience building analytics products in Palantir Foundry.
- Experience working with Advana, Jupiter, or similar federal/DoD data environments.
- Strong experience with SQL, Python, TypeScript/JavaScript.
- Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
- Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
- Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
- Strong understanding of data governance, data quality, access control, and responsible AI practices.
- Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
- Strong client-facing communication skills and stakeholder engagement skills.
- Eligible to obtain a U.S. Government clearance
- Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
- Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

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