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Remote Ai Data Engineer Jobs in Decatur, GA (NOW HIRING)

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Director Data & AI Platform Engineer

Atlanta, GA · On-site +1

$108K - $130K/yr

Director Data & AI Platform Engineer | US | Langley, UK. Travel obsessed? Big tech fan? Hey, you're in good company. If you want to be part of the industry that makes the world go round, then look no ...

... Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

AI Strategist 2026- US,UK (Remote)

Atlanta, GA · Remote

$124K - $160K/yr

Aimpoint Digital is a premier AI & Data consulting firm with a mission to drive business value for ... remote work within the US or UK.Atlanta-based applicants will have the opportunity to work in our ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... engineering principles * Analyze data and interpret results to inform AI training datasets with ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

... data-driven reporting, tailored to your industry background. * Document findings and provide ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

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Remote Ai Data Engineer information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

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

As of Jul 11, 2026, the average yearly pay for remote ai data engineer in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

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 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, and why are they important?

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 popular job titles related to Remote Ai Data Engineer jobs in Decatur, GA? For Remote Ai Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Remote Ai Data Engineer jobs in Decatur, GA look for? The top searched job categories for Remote Ai Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Remote Ai Data Engineer jobs? Cities near Decatur, GA with the most Remote Ai Data Engineer job openings:
Engineering AI Evaluator (PhD)

Engineering AI Evaluator (PhD)

micro1 AI

Atlanta, GA • Remote

$80 - $90/hr

Part-time

Posted 18 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions