ZipRecruiter

Log In

1

From Home Ai Data Rater Jobs in Washington (NOW HIRING)

IMPYRIAN

AI/Data Solutions Architect

Ashburn, VA · On-site

$173K - $220K/yr

Able to operate confidently from high-level strategy down to detailed solution design. * Excited about AI, automation, data platforms, and modern cloud ecosystems. * A strong communicator with ...

Guidehouse

Fraud AI / Data Senior Consultant

Mclean, VA · On-site

$113K - $188K/yr

Design and implement scalable AI and data solutions from requirements to deployment * Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages

Guidehouse

Fraud AI / Data Senior Consultant

Mclean, VA

$113K - $188K/yr

Design and implement scalable AI and data solutions from requirements to deployment * Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages

Karsun Solutions, LLC

Senior AI Data Engineer

Herndon, VA · On-site

$165K - $180K/yr

We're committed to building an environment where team members from diverse backgrounds can innovate ... Summary We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track ...

next page

Showing results 1-20

All JobsAi Data Rater JobsFrom Home Ai Data Rater JobsFrom Home Ai Data Rater Jobs in Washington

From Home Ai Data Rater information

What is the difference between From Home Ai Data Rater vs From Home Content Moderator?

AspectFrom Home Ai Data RaterFrom Home Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageAI training, data labelingOnline platforms, social media moderation
Common Search IntentData annotation, AI training jobsContent review, community moderation jobs

Both roles are remote and require similar skills, but From Home Ai Data Raters focus on labeling data to train AI systems, while From Home Content Moderators review online content to ensure community guidelines are followed. The roles differ mainly in their purpose within the tech industry, with data raters supporting AI development and content moderators maintaining platform integrity.

What are the most commonly searched types of Ai Data Rater jobs in Washington? The most popular types of Ai Data Rater jobs in Washington are:
What are popular job titles related to From Home Ai Data Rater jobs in Washington? For From Home Ai Data Rater jobs in Washington, the most frequently searched job titles are:
What job categories do people searching From Home Ai Data Rater jobs in Washington look for? The top searched job categories for From Home Ai Data Rater jobs in Washington are:
What cities in Washington are hiring for From Home Ai Data Rater jobs? Cities in Washington with the most From Home Ai Data Rater job openings:
From Home Ai Data Rater jobs near you
Infographic showing various From Home Ai Data Rater job openings in Washington as of June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

AI Data Engineer

QUANTUM TECHNOLOGIES LLC

Fort Belvoir, VA • On-site

$75/hr

Other

Posted 10 days ago

Job description

Job Title: AI Data Engineer

Location: Fort Belvoir, VA

Duration: 6 Months + Extension

Bill Rate: $75/hour

Job Type: C2C/1099 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Summary:

Description
The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data availability, quality, security, and operational integration to enable advanced analytics and decision-making. The AI Data Engineer will collaborate with cross-functional teams, optimize data workflows, and contribute to intelligence solutions.
Key Responsibilities:

  • Translate business requirements into logical data models to support entity relationships and data flows.
  • Design and implement scalable data pipelines for AI and machine learning workloads.
  • Develop and maintain data architectures to ensure data quality, availability, and security.
  • Collaborate with internal teams and external stakeholders to meet AI/ML data requirements.
  • Optimize data workflows for real-time analytics and decision-making.
  • Ensure adherence to data governance policies and security protocols.
  • Stay current on data engineering, AI, and machine learning advancements.
  • Support the operational deployment and integration of AI/ML solutions to enhance intelligence capabilities.
  • Analyze complex data challenges and deliver practical, innovative technical solutions aligned with organizational goals.
  • Engage frequently with internal and external stakeholders to resolve technical issues and deliver impactful solutions.
  • Contribute to the successful delivery of programs and projects.

Qualifications
Required Education:

  • Bachelors degree and nine (9) years or more related experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more experience.

Qualifications:

  • 5+ years of experience in systems engineering, data engineering, data architecture, or similar roles.
  • Expertise with Palantir Foundry; particularly with Ontologies, Object Types, Data Pipelines, and AIP tools).
  • Strong knowledge of data pipeline design, ETL processes, and database management.
  • Proficiency in programming languages such as Python, SQL, and TypeScript; and object-oriented development.
  • Experience utilizing Large Language Models (LLMs) for tasks like NLP, text generation, and conversational AI.
  • Familiarity with data governance, security practices, and compliance standards.
  • Excellent analytical, problem-solving, and teamwork abilities.

Desired Qualifications:

  • Experience with Apache Spark or other distributed computing platforms.
  • Palantir Foundry Certification.
  • Experience with AI/ML frameworks and tools (e.g., TensorFlow, PyTorch, AWS SageMaker).
  • Proficiency in real-time data processing and analytics platforms.
  • Knowledge of Army Intelligence Enterprise data workflows and requirements.
  • Strong understanding of MLOps practices and supporting tools.
  • Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

    Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Apply