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Feeding Ai Jobs (NOW HIRING)

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

... feeding AI/ML feature stores and forecasting models • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training • Manage and optimize Cloud Composer DAGs ...

1 point system

GCP Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

... feeding AI/ML feature stores and forecasting models • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training • Manage and optimize Cloud Composer DAGs ...

OperAxis

Data Engineer

Bentonville, AR · On-site

$97K - $117K/yr

... feeding AI/ML feature stores and forecasting models • Collaborate with AI Developers to ensure high-quality, low-latency data access for model training • Manage and optimize Cloud Composer DAGs ...

DataHub

Senior Platform Engineer

Palo Alto, CA · Hybrid

$225K - $300K/yr

No unified way to track the complex data supply chain feeding AI systems * Engineering teams struggling with data discovery, lineage, and governance * Organizations needing machine-scale metadata ...

DataHub

Staff, Backend Engineer - Catalog

Palo Alto, CA

$225K - $300K/yr

No unified way to track the complex data supply chain feeding AI systems * Engineering teams struggling with data discovery, lineage, and governance * Organizations needing machine-scale metadata ...

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 ...

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 ...

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 · 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 ...

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 ...

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 ...

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Feeding Ai information

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How much do feeding ai jobs pay per hour?

As of Jul 29, 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 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.

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 are Feeding AI jobs?

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.
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 July 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Nights. Highlights an 100% In-person job distribution, with an average salary of $25,703 per year, or $12.4 per hour.
GCP Data Engineer

GCP Data Engineer

1 point system

Bentonville, AR • On-site

$100K - $120K/yr

Contractor

Posted 20 days ago

Job description

Must haves:
GCP Data Engineer
Job Description:
KEY RESPONSIBILITIES

•    Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow

•    Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries

•    Build and maintain data pipelines feeding AI/ML feature stores and forecasting models

•    Collaborate with AI Developers to ensure high-quality, low-latency data access for model training

•    Manage and optimize Cloud Composer DAGs and pipeline orchestration

•    Implement data quality monitoring, alerting, and lineage tracking

•    Participate in data platform architecture decisions and documentation

 

REQUIRED QUALIFICATIONS

•    3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience

•    Hands-on experience with Apache Airflow for pipeline orchestration

•    Proficiency in Apache Spark for large-scale data processing

•    Strong SQL skills including complex query optimization and BigQuery-specific capabilities

•    Experience with GCP data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow

•    Solid understanding of ETL/ELT patterns and data warehousing principles

 

PREFERRED QUALIFICATIONS

•    GCP Professional Data Engineer certification

•    Experience supporting ML/AI data infrastructure (feature engineering, training datasets)

•    Familiarity with real-time streaming (Kafka, Dataflow/Flink)

•    Retail or large-scale consumer data experience