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Feeding Ai Jobs (NOW HIRING)

GEI Consultants

Data Engineer

Pasadena, CA · On-site

$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 ...

GEI Consultants, Inc.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/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 ...

IntelliTrans

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models. QUALIFICATIONS AND BACKGROUND EDUCATION: Master's degree in ...

GEI Consultants

Data Engineer

New York, NY · On-site

$125K - $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

Dallas, TX · On-site

$113K - $136K/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

Wakefield, MA · On-site

$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 ...

GEI Consultants

Data Engineer

Dallas, TX

$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 ...

GEI Consultants

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 · On-site

$110K - $132K/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

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

Manhattan, NY

$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 ...

GEI Consultants, Inc.

Data Engineer

Dallas, TX · On-site

$113K - $136K/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

Wakefield, MA

$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 ...

GEI Consultants

Data Engineer

Cary, NC

$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 ...

GEI Consultants

Data Engineer

West Palm Beach, FL

$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 ...

IntelliTrans

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models. QUALIFICATIONS AND BACKGROUND EDUCATION: Master's degree in ...

Thumbtack

Senior Enterprise Security Engineer

$117K - $160K/yr

And the pipelines feeding AI systems cross more services, vendors, and trust boundaries than they have previously. The challenge is to evolve security controls to address these shifts in the ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$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 ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/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

Cary, NC · On-site

$116K - $140K/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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All JobsFeeding Ai Jobs

Feeding Ai information

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How much do feeding ai jobs pay per hour?

As of Aug 18, 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.

More about Feeding Ai jobs

What cities are hiring for Feeding Ai jobs?

Cities with the most Feeding Ai job openings:

What states have the most Feeding Ai jobs?

States with the most job openings for Feeding Ai jobs include:

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

The top searched job categories for Feeding Ai jobs are:

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 Engineer

GEI Consultants

Pasadena, CA • On-site

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • 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 AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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