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Feeding Ai Jobs (NOW HIRING)

Halvik

Sr. Security Engineer

Alexandria, VA · On-site

$155K - $165K/yr

... feeding AI models. * Mentorship & Quality: Provide technical guidance and review for mid-level engineers and contribute to deliverables including the Enterprise Architecture and Deployment Plan ...

Halvik

Sr. Security Engineer

Alexandria, VA · On-site

$155K - $165K/yr

... feeding AI models.Mentorship & Quality: Provide technical guidance and review for mid-level engineers and contribute to deliverables including the Enterprise Architecture and Deployment Plan ...

Tetra Tech

Sr. Security Engineer

Alexandria, VA · On-site

$140 - $190/hr

... feeding AI models. * Mentorship & Quality: Provide technical guidance and review for mid-level engineers and contribute to deliverables including the Enterprise Architecture and Deployment Plan ...

Halvik

Sr. Security Engineer

Alexandria, VA · Hybrid

$122K - $167K/yr

... feeding AI models. * Mentorship & Quality: Provide technical guidance and review for mid-level engineers and contribute to deliverables including the Enterprise Architecture and Deployment Plan ...

Tetra Tech

Mid-Level Security Engineer

Alexandria, VA · On-site

$90 - $130/hr

... feeding AI models. Minimum Requirements * Education: Bachelor's degree in Computer Science, Information Security, or a related field (Masters Degree and 3 years of experience; equivalent experience ...

Halvik

Mid-Level Security Engineer

Alexandria, VA · Hybrid

... feeding AI models. Minimum Requirements * Education: Bachelor's degree in Computer Science, Information Security, or a related field (Masters Degree and 3 years of experience; equivalent experience ...

Halvik

Mid-Level Security Engineer

Alexandria, VA · On-site

$100K - $115K/yr

... feeding AI models.Minimum RequirementsEducation: Bachelor's degree in Computer Science, Information Security, or a related field (Masters Degree and 3 years of experience; equivalent experience may ...

Halvik

Mid-Level Security Engineer

Alexandria, VA · On-site

$100K - $115K/yr

... feeding AI models. Minimum Requirements * Education: Bachelor's degree in Computer Science, Information Security, or a related field (Masters Degree and 3 years of experience; equivalent experience ...

GEI Consultants, Inc.

Data Engineer

Rancho Cordova, CA · On-site

$124K - $148K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants, Inc.

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants, Inc.

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants, Inc.

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants

Data Engineer

West Palm Beach, FL · On-site

$110K - $133K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants, Inc.

Data Engineer

Pasadena, CA · On-site

$124K - $150K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows. * Support and optimize data models underpinning Power BI dashboards and ...

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Feeding Ai information

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How much do feeding ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for feeding ai in the United States is $12.36, according to ZipRecruiter salary data. Most workers in this role earn between $9.62 and $14.42 per hour, depending on experience, location, and employer.

What is a Feeding AI?

Feeding AI jobs generally refer to roles involved in providing, curating, and managing the data that artificial intelligence systems use for training and learning. This can include tasks such as data annotation, data labeling, data collection, and preprocessing to ensure AI models are exposed to accurate and relevant information. These jobs are crucial because the quality and variety of data directly influence how well an AI system performs. Feeding AI jobs may be found in industries like tech, healthcare, automotive, and more, supporting the development of smarter, more reliable AI solutions.

What are some typical challenges faced by Feeding AI specialists when curating and preparing data for machine learning models?

Feeding AI specialists often encounter challenges such as ensuring data quality, eliminating biases, and managing large, unstructured datasets. A key part of the role involves collaborating with data scientists and engineers to understand the specific requirements of machine learning models, then sourcing, cleaning, and labeling data accordingly. Balancing data privacy and compliance while maintaining dataset diversity is also common. Teamwork and strong communication skills are essential, as specialists frequently coordinate with cross-functional teams to align on project goals and timelines.

What are the key skills and qualifications needed to thrive as a Feeding AI engineer, and why are they important?

To thrive as a Feeding AI Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning principles, and a degree in computer science or a related field. Experience with AI frameworks such as TensorFlow or PyTorch, and familiarity with data pipelines and cloud-based systems, are typically required. Analytical thinking, problem-solving ability, and effective communication make someone stand out in this position. These skills ensure the efficient development, training, and optimization of AI models that drive innovation and deliver accurate results.

What is the difference between Feeding Ai vs Data Annotator?

AspectFeeding AiData Annotator
Required CredentialsBasic technical skills, sometimes certifications in AI or data handlingOften high school diploma or equivalent; training in annotation tools
Work EnvironmentRemote or office-based, collaborative with AI teamsPrimarily remote or on-site, focused on labeling data
Industry UsageAI development, machine learning projectsData preparation for AI, machine learning, and analytics
Search & Comparison IntentUnderstanding roles in AI data pipelineClarifying data labeling and annotation tasks

Feeding Ai involves preparing and managing data for AI systems, often requiring technical skills and collaboration with AI teams. Data Annotator focuses on labeling and annotating data to train machine learning models, typically with less technical credentials. Both roles are essential in AI development but differ in scope and responsibilities.

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What states have the most Feeding Ai jobs?

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What job categories do people searching Feeding Ai jobs look for?

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Feeding Ai jobs near you
Infographic showing various Feeding Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $25,703 per year, or $12.4 per hour.

Data & AI Integration Engineer - Mid-Level

Peraton

Reston, VA • On-site

$86K - $138K/yr

Full-time

Re-posted 15 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

51st of 224 rated it services

Job description

Responsibilities
Peraton is seeking a skilled and motivated Lead Data & AI Analyst / Engineer to join our organization to support Peraton corporate data and AI knowledge strategy. You will serve as a technical lead and subject matter expert, collaborating closely with corporate stakeholders, data architects, and cross-functional teams to deliver high-quality, secure, and data and knowledge products that further Peraton corporate growth and business acquisition processes. This mid-level role is responsible for planning, coordinating, and managing the AI data foundation that powers Peraton's AI adoption initiatives - ensuring that the right data is available, governed, trusted, and accessible for the right analytical and AI-driven purposes.
Key Responsibilities:
Data Planning & Architecture
  • Define, document and maintain the AI and data requirements and quality standards for Corporate Growth & Business Operations - both structured and unstructured data
  • Define and document data domain models, entity relationships, and data flow diagrams across source systems (CRM, ERP, HRIS, proposal repositories, contract vehicles)
  • Work within the CIO-managed data catalog to ensure Growth & Business Operations data assets are properly inventoried, normalized, classified, tagged by domain and sensitivity, and discoverable by authorized AI consumers
  • Participate in enterprise data governance forums and represent the AI and data requirements, priorities on CIO managed data assets.
  • Partner with the CIO office to define and enforce data quality standards - including completeness, accuracy, timeliness, and consistency scoring - for data assets feeding AI workflows

Data Integration, Engineering & Pipeline Development
  • Develop and manage AI-specific data pipelines to CIO managed lakehouse/warehouse environments
  • Collaborate with IRAD engineers to integrate data pipelines into the broader AI platform infrastructure
  • Coordinate with the CIO office to define data access patterns, API contracts, and export/query interfaces that allow AI workloads to consume enterprise data efficiently and securely
  • Implement data versioning and lineage tracking at the AI consumption layer to ensure full traceability from CIO-managed source to AI-generated output

Qualifications
Required Qualifications:
  • Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a closely related field
  • 5-7 years of progressive, hands-on experience in data analytics, data engineering, or a closely related discipline
  • Demonstrated experience delivering data solutions in support of government, defense, or large-scale enterprise programs
  • SQL & Databases: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server)
  • ETL / ELT Pipelines: Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent
  • Cloud Platforms: Experience with AWS, Microsoft Azure, including managed data services (Azure Synapse, BigQuery)
  • BI & Visualization: Proficiency with Power BI, Alteryx, or equivalent business intelligence tools
  • Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture (ADLS, ADF)
  • Must be a US citizen willing to obtain and maintain a TS/SCI security clearance

Desired Qualifications:
  • Experience navigating shared infrastructure models - consuming centrally managed data platforms without owning the underlying infrastructure
  • Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity
  • Knowledge of NIST AI Risk Management Framework (AI RMF) and its data-related implications
  • Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent
  • Active TS/SCI security clearance

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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