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Ai Data Training Jobs in Georgia (NOW HIRING)

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

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 ...

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

Define and evolve Carrier's AI & Data architecture strategy and roadmap, aligned with business ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...

Kion Group AG

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

... training. The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA

$121K - $151K/yr

... training. The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA

$121K - $151K/yr

... training. The base pay range for this role is estimated to be $121,200.00 - $151,500.00 at the time ... Evolve the Enterprise Data Platform into an AI-native platform by enabling intelligent discovery ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products * Analyze structured and unstructured data to identify ...

Deloitte

Generative AI Data Engineer III

Atlanta, GA

$110K - $132K/yr

Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products * Analyze structured and unstructured data to identify ...

Honeywell

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

Design for reliability, security, latency, data residency, and cost optimization across training and inference workloads. * Lead architecture for industrial edge AI, including real-time inference and ...

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All JobsAi Data Training JobsAi Data Training Jobs in Georgia

Ai Data Training information

What is AI data training?

AI data training refers to the process of teaching artificial intelligence systems, such as machine learning models, to recognize patterns and make decisions by feeding them large amounts of labeled data. This involves collecting, annotating, and preprocessing data so that the AI can learn from examples and improve its performance over time. Data trainers play a crucial role in ensuring that the data used is accurate, diverse, and relevant to the AI's intended tasks. Effective AI data training helps models become more accurate, reliable, and capable of handling real-world scenarios.

What are the key skills and qualifications needed to thrive as an AI data trainer, and why are they important?

To thrive as an AI Data Trainer, you need a solid understanding of data annotation, machine learning fundamentals, and attention to detail, often backed by experience in data science or a related field. Familiarity with data labeling tools, annotation platforms, and version control systems is typically required. Strong analytical thinking, communication skills, and the ability to follow complex guidelines set top performers apart in this role. These skills ensure that high-quality, accurate datasets are produced to effectively train and improve AI models.

What are some common challenges faced in AI data training roles, and how can they be effectively managed?

Professionals in AI Data Training often encounter challenges such as ensuring data accuracy, managing large and potentially unstructured datasets, and maintaining consistency in labeling. These challenges can be managed through rigorous quality control checks, adopting clear annotation guidelines, and utilizing collaborative tools that streamline the review process. Being detail-oriented and communicating effectively with data scientists and engineers also helps in resolving ambiguities and improving overall data quality.

What is the difference between Ai Data Training vs Data Analyst?

AspectAi Data TrainingData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and machine learning projectsAcross various sectors analyzing data to inform decisions

Ai Data Training involves preparing and labeling data for AI models, focusing on machine learning algorithms. Data Analysts interpret data to generate insights for business decisions. While both roles work with data, Ai Data Training is more technical and model-focused, whereas Data Analysts focus on analysis and reporting.

What are popular job titles related to Ai Data Training jobs in Georgia?

For Ai Data Training jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Ai Data Training jobs in Georgia look for?

The top searched job categories for Ai Data Training jobs in Georgia are:

What cities in Georgia are hiring for Ai Data Training jobs?

Cities in Georgia with the most Ai Data Training job openings:

Ai Data Training jobs near you
Infographic showing various Ai Data Training job openings in Georgia as of August 2026, with employment types broken down into 4% Internship, 69% Full Time, 18% Part Time, and 9% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

AI Data Scientist Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$100 - $200/hr

Part-time

Posted 15 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.