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Ai Data Annotation Remote Jobs in Springfield, VA

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Remote (U.S. Based) Clearance: Active DoD Secret Clearance (or higher) Make an Impact on Military ... Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive ...

Initio Capital

ETA Research Associate

Washington, DC · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

Initio Capital

Investment Thesis Analyst

Washington, DC · Remote

... AI/data, business operations, corporate development, private markets, or entrepreneurship. COMPENSATION Compensation varies by project and experience. Many roles are flexible, remote, and project ...

ManTech

Enterprise AI Security Engineer

Washington, DC · Remote

$141K - $236K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

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Ai Data Annotation Remote information

What is an AI data annotation remote?

An AI Data Annotation Remote job involves labeling, tagging, or categorizing data used to train artificial intelligence models. Annotators work with text, images, audio, or video to ensure machine learning algorithms receive accurate and high-quality input. This role is performed remotely, allowing flexibility in work location and schedule. Attention to detail, consistency, and familiarity with annotation tools are essential skills for this job.

What does a typical day look like for someone working remotely in AI data annotation?

A typical day for a remote AI Data Annotation worker involves reviewing and labeling various types of data such as images, text, or audio according to specific guidelines provided by the employer or project lead. You may use specialized annotation software and work through batches of data while following quality standards and deadlines. Periodic team check-ins or virtual meetings help clarify instructions, address questions, and monitor progress. While most of the work is independent, communication with supervisors or quality assurance teams is important to ensure that data labeling is consistent and accurate.

What are the key skills and qualifications needed to thrive in the AI data annotation remote position, and why are they important?

To thrive as an AI Data Annotation Remote worker, you need strong attention to detail, familiarity with data labeling processes, and a basic understanding of machine learning concepts, often supported by a high school diploma or relevant experience. Familiarity with data annotation platforms such as Labelbox, Supervisely, or AWS SageMaker Ground Truth is typically required, and certifications in data annotation or AI may be advantageous. Strong time management, the ability to work independently, and clear communication skills are valuable in this remote role. These abilities ensure accurate and efficient data labeling, which is critical for training reliable AI models.

What are popular job titles related to Ai Data Annotation Remote jobs in Springfield, VA? For Ai Data Annotation Remote jobs in Springfield, VA, the most frequently searched job titles are:
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Ai Data Annotation Remote jobs near you

Data Engineer (DoD Secret | Remote)

Rackner

Washington, DC • Remote

$129K - $155K/yr

Full-time

Posted 29 days ago

Job description

Data Engineer (DoD Secret | Remote)
Location: Remote (U.S. Based)
Clearance: Active DoD Secret Clearance (or higher)

Make an Impact on Military Healthcare and Readiness

  • Join Rackner to modernize secure data infrastructure for a critical defense health program—enabling real-time insights that support care delivery, operational readiness, and mission decision-making.
  • You'll design and scale data pipelines that transform raw information into actionable intelligence, ensuring interoperability and powering analytics across large-scale, distributed environments.
  • If you're passionate about data engineering, cloud-native systems, and mission-driven innovation, this is your opportunity to make a national impact.

What You'll Do

  • Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
  • Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI/ML use cases.
  • Map datasets to FHIR and OMOP standards to enable interoperability and decision support.
  • Implement schema versioning and governance to ensure traceability and audit-ready lineage.
  • Collaborate with DevSecOps and Data Science teams to deliver AI-ready datasets for predictive analytics and readiness forecasting.
  • Optimize data performance across distributed environments while ensuring compliance with DoD Responsible AI and NIST AI Risk Management frameworks.

Who You Are

  • 4+ years of experience in Data Engineering or Analytics Engineering
  • Proficient in SQL and Python, with experience building modular, version-controlled transformations
  • Hands-on with Apache Airflow, Apache Spark, dbt, and data lake frameworks (Iceberg, Trino, Athena)
  • Strong understanding of ETL/ELT design, data modeling, and governance in distributed systems
  • Familiar with AWS (Glue, S3, Lambda, Athena, EMR) and cloud-native data architectures
  • Excellent collaborator with experience in cross-functional environments (DevSecOps, Data Science, Security)

Preferred / Bonus

  • Experience with FHIR, OMOP, or HL7 data standards
  • Background in DoD, VA, or other federal health IT programs
  • Knowledge of Responsible AI and NIST AI Risk Management Frameworks
  • Familiarity with complex operational data systems or readiness analytics

About Rackner

  • Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
  • We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
  • Our teams solve high-impact problems that advance federal missions and strengthen national readiness. Join us to help shape the future of secure, scalable data systems supporting mission success.

Why You'll Love Working Here

  • Weekly Pay and Full Remote Flexibility.
  • Professional Growth through paid certifications and training.
  • Comprehensive Benefits including 401(k) with 100% match up to 6%, PTO, medical/dental/vision, life & disability insurance.
  • Home office equipment plan and supportive, inclusive team culture with mission impact.

Hashtags for Visibility
#DataEngineering #DoDCleared #AWSData #Airflow #dbt #Spark #FHIR #RacknerCareers #FederalTech #AIReadyData