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Entry Level Advanced Ai Data Trainer Jobs (NOW HIRING)

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... training and refinement Key Responsibilities * Collaborate with data scientists and machine ... Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If ...

Perle AI

Freelance Audio Contributor - US English

... training data that powers the world's most advanced AI models. We partner with leading AI companies to source high-quality, human-generated datasets that make AI smarter, more natural, and more ...

BHC ISC

AI Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Design build and maintain scalable data pipelines for the ingestion processing and transformation of large complex datasets used in AI model training and inference. Participate in the development and ...

Lockheed Martin

AI Data Engineer Staff

Fort Worth, TX

$109K - $131K/yr

... model training, feature stores, modelready data delivery). Key Responsibilities Design, develop, test and execute data engineering principles such in SAP HANA, BODS. Design, build, and maintain ...

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

You will be evaluating advanced math tasks and solutions and provide clear, written feedback ... AI models Async work and communication Work type: Part-time Industry: Internet and Artificial ...

Weekday AI

Economics AI Trainer (PhD)

$70 - $90/hr

You will be evaluating advanced economics tasks and solutions and provide clear, written feedback ... AI models Async work and communication Work type: Part-time Industry: Internet and Artificial ...

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All JobsEntry Level Advanced Ai Data Trainer Jobs

Entry Level Advanced Ai Data Trainer information

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$31

$63

How much do entry level advanced ai data trainer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for entry level advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Advanced Ai Data Trainer vs Data Analyst?

AspectEntry Level Advanced Ai Data TrainerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with AI toolsBachelor's in Statistics, Data Science, or related field; proficiency in data analysis software
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI development teams, machine learning projectsBusiness intelligence, reporting, decision-making

While both roles involve working with data, Entry Level Advanced Ai Data Trainers focus on preparing and refining AI models through data annotation and training, whereas Data Analysts interpret data to generate insights for business decisions. The former is more technical and AI-specific, while the latter emphasizes data interpretation and reporting.

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Entry Level Advanced Ai Data Trainer jobs near you
Infographic showing various Entry Level Advanced Ai Data Trainer job openings in the United States as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.
Data Engineer (AI & Data Platforms) - Q126

Data Engineer (AI & Data Platforms) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Posted 27 days ago

Job description

Overview:
Job Title: Data Engineer (AI & Data Platforms)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The role of the Data Engineer has fundamentally shifted in 2026. R2 Technologies is seeking an innovative Data Engineer who goes beyond traditional ETL to become a builder of "AI-ready" data foundations. You will be crucial in powering our SmartEnt platform and client AI initiatives by engineering context-rich data pipelines. Utilizing AI coding assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake, Databricks, Apache Iceberg) to process both structured and unstructured data.
  • Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows.
  • Leverage AI-assisted coding tools to rapidly generate, test, and optimize SQL/Python data transformation code, freeing up time for complex architectural decisions.
  • Orchestrate data workflows using Apache Airflow, Dagster, or n8n to ensure seamless, event-driven data delivery to AI agents and downstream analytics.
  • Implement data reliability engineering practices (data contracts, observability, lineage) to ensure LLMs are grounded in highly accurate, governed data.
  • Collaborate closely with Full Stack and AI/ML engineers to support multi-modal data ingestion from IoT devices, APIs, and enterprise systems.

Qualifications: 3 years of hands-on experience in Data Engineering, Data Analytics, or ML Engineering.
  • Bachelor degree in computer science or related field.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery) and orchestration tools.
  • Familiarity with creating embedding pipelines and working with Vector Databases.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Understanding of modern lakehouse architectures and open table formats (Apache Iceberg, Delta Lake).
  • Excellent communication skills and the ability to adapt to the fast-paced convergence of data and AI.

Skills:
Snowflake,Apache

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