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Part Time Remote Cloud Engineer Jobs in Atlanta, GA

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

YO AI Labs

AI Finance Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

Verify

Certified Auditor

Atlanta, GA · Remote

Conduct on-site and remote audits of suppliers to verify compliance with AS9100 requirements ... Collaborate with internal quality, engineering, and procurement teams. * Support supplier ...

Verify Inc.

Certified Auditor

Atlanta, GA · Remote

Conduct on-site and remote audits of suppliers to verify compliance with AS9100 requirements ... Collaborate with internal quality, engineering, and procurement teams. * Support supplier ...

Verify

Certified Auditor

Atlanta, GA · Remote

Conduct on-site and remote audits of suppliers to verify compliance with AS9100 requirements ... Collaborate with internal quality, engineering, and procurement teams. * Support supplier ...

Booz Allen Hamilton, Inc.

HPC Linux Specialist

Atlanta, GA · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0244795 Location: Atlanta,GA,US Share job via: Share HPC Linux ... You'll help architect and design cloud integration. Join us. The world can't wait. You Have: * 3+ ...

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Showing results 21-40

All JobsCloud Engineer JobsPart Time Remote Cloud Engineer JobsPart Time Remote Cloud Engineer Jobs in Atlanta, GA

Part Time Remote Cloud Engineer information

See Atlanta, GA salary details

$22

$60

$83

How much do part time remote cloud engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for part time remote cloud engineer in Atlanta, GA is $60.47, according to ZipRecruiter salary data. Most workers in this role earn between $51.54 and $68.89 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Cloud Engineer vs Part Time Remote Cloud Administrator?

AspectPart Time Remote Cloud EngineerPart Time Remote Cloud Administrator
CredentialsCloud certifications (e.g., AWS, Azure), technical degreeCloud certifications, network and system administration skills
Work EnvironmentDesigning, developing, and deploying cloud solutionsManaging, maintaining, and supporting cloud infrastructure
Industry UsageTech companies, startups, cloud service providersIT departments, managed service providers, enterprise firms
Search & Comparison IntentUnderstanding roles in cloud development and deploymentFocusing on cloud infrastructure management and support

While both roles work remotely and require cloud certifications, the Part Time Remote Cloud Engineer focuses on building and deploying cloud solutions, whereas the Part Time Remote Cloud Administrator manages and maintains existing cloud infrastructure. The roles complement each other but serve different functions within cloud operations.

What are the key skills and qualifications needed to thrive as a part time remote cloud engineer?

To thrive as a Part Time Remote Cloud Engineer, you need a strong background in cloud computing, systems administration, and programming, typically supported by a degree in computer science or related field and relevant work experience. Familiarity with major cloud platforms (such as AWS, Azure, or Google Cloud), infrastructure-as-code tools (like Terraform), and certifications (e.g., AWS Certified Solutions Architect) are commonly required. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially when working remotely and collaborating across distributed teams. These skills ensure secure, efficient cloud infrastructure management and effective teamwork in a flexible, independent work environment.

How do part time remote cloud engineers typically collaborate with full-time team members and stay aligned on projects?

Part-time remote Cloud Engineers often use collaboration tools such as Slack, Microsoft Teams, and project management platforms like Jira to stay connected with full-time colleagues. Regular check-ins, clear documentation, and frequent status updates are essential to ensure everyone is aligned on project goals and deliverables. Many teams schedule virtual stand-up meetings or asynchronous updates to accommodate flexible schedules, helping part-time engineers remain informed and integrated. Building strong communication habits and proactively reaching out when questions arise can help overcome the challenges of working remotely and part-time.

What is a part time remote cloud engineer?

A Part Time Remote Cloud Engineer is a technology professional who designs, implements, and manages cloud computing solutions for organizations while working remotely and typically on a part-time basis. These engineers use cloud platforms like AWS, Azure, or Google Cloud to ensure reliable, scalable, and secure systems. Their responsibilities may include configuring cloud infrastructure, automating deployments, monitoring system performance, and troubleshooting issues. This role is ideal for individuals seeking flexible work hours and the ability to work from any location while leveraging their expertise in cloud technologies.

What are the most commonly searched types of Remote Cloud Engineer jobs in Atlanta, GA?

The most popular types of Remote Cloud Engineer jobs in Atlanta, GA are:

What are popular job titles related to Part Time Remote Cloud Engineer jobs in Atlanta, GA?

For Part Time Remote Cloud Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Part Time Remote Cloud Engineer jobs in Atlanta, GA look for?

The top searched job categories for Part Time Remote Cloud Engineer jobs in Atlanta, GA are:

Part Time Remote Cloud Engineer jobs near you

AI Data Science Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 5 days ago

Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.