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Remote Ai Data Engineer Jobs in Georgetown, TX (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

YO AI Labs

AI Consulting Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

YO AI Labs

AI Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

AI/ML Software Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

AI Agent Evaluation Engineer - Remote

Austin, TX · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Placer.ai

Senior Devops Engineer

Austin, TX · On-site +1

$190K - $210K/yr

Placer.ai's data * Placer.ai in the news * COVID-19 Economic Recovery Dashboard Placer.ai is ... Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai ...

ActivTrak

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

We're growing our data engineering team to design and operate the production systems that make our ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

Help define how both employees and AI-powered systems safely access and leverage company data ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

YO AI Labs

AI Trainer - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

English Language Expert - Remote

Austin, TX · Remote

$30 - $50/hr

Remote Job Overview We are seeking experienced English Language Experts to support a high-impact AI ... Previous experience in AI data training, annotation, editorial QA, localization QA, or professional ...

YO AI Labs

AI coding agents Expert - Remote

Austin, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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Showing results 41-60

All JobsAi Data Engineer JobsRemote Ai Data Engineer JobsRemote Ai Data Engineer Jobs in Georgetown, TX

Remote Ai Data Engineer information

See Georgetown, TX salary details

$41.3K

$120.5K

$164.9K

How much do remote ai data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote ai data engineer in Georgetown, TX is $120,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in Georgetown, TX?

For Remote Ai Data Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Georgetown, TX look for?

The top searched job categories for Remote Ai Data Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Remote Ai Data Engineer jobs?

Cities near Georgetown, TX with the most Remote Ai Data Engineer job openings:

Remote Ai Data Engineer jobs near you

AI/ML Engineer - Remote

YO AI Labs

Austin, TX • Remote

$200 - $350/hr

Full-time

Posted 8 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.