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Remote Machine Learning Engineer Jobs in Loganville, GA

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to ...

Foundational understanding of Artificial Intelligence, Machine Learning, and Generative AI concepts. * Interest in Large Language Models (LLMs) and prompt engineering. * Basic understanding of ...

... and software engineering. Identifies patterns and looks for opportunities for optimization ... A specialization in machine-learning, artificial intelligence, cognitive science or data science is ...

Mid-Level Data Engineer

Atlanta, GA · On-site +1

$99K - $116K/yr

Supporting data used for analytics, reporting, or machine learning workloads. * Claude or other AI ... This is a remote position within the United States. At the time of hire and throughout employment ...

Mid-Level Data Engineer

Atlanta, GA · Remote

$99K - $116K/yr

Supporting data used for analytics, reporting, or machine learning workloads. * Claude or other AI ... This is a remote position within the United States. At the time of hire and throughout employment ...

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Aimpoint Digital is a dynamic and fully remote AI and Data consultancy. We work alongside the most ... You will not be developing machine learning models or algorithms Who you are: We are building a ...

Showing results 41-60

Remote Machine Learning Engineer information

See Loganville, GA salary details

$30.1K

$123K

$184.8K

How much do remote machine learning engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for remote machine learning engineer in Loganville, GA is $123,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What cities near Loganville, GA are hiring for Remote Machine Learning Engineer jobs?

Cities near Loganville, GA with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Loganville, GA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,008 per year, or $59.1 per hour.

AI Data Science Expert - Remote

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Re-posted 4 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.