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Ai Model Trainer Jobs in Decatur, GA (NOW HIRING)

AI/ML engineer

Atlanta, GA Β· On-site

$110K - $132K/yr

Work is seeking a talented AI/ML Engineer to design, develop, and deploy machine learning and ... model training β€’ Collaborate with data scientists, software engineers, and product teams β€’ ...

... AI training and evaluation projects. You'll apply structured problem-solving, business analysis, and consulting expertise to assess and improve AI model performance. Key Responsibilities * Evaluate ...

AI Engineer

Atlanta, GA Β· On-site

$50K - $112K/yr

... the AI models to be useful and scalable. As an Associate, you will focus on learning and ... training and/or progressively responsible work experience in Engineering with AI and Machine ...

Physics Expert - Remote

Atlanta, GA Β· Remote

$80 - $160/hr

Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement. Required Skills * Physics Mastery * Expert Judgment in Ambiguous Cases * Meta-Level ...

Quality Engineer (AI)

Atlanta, GA Β· On-site

$69K - $89K/yr

Validate training datasets, model outputs, and data pipelines to ensure quality and consistency. * Collaborate with Data Scientists, AI Engineers, Product Managers, and Developers throughout the ...

This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third‑party AI and LLM ...

This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third-party AI and LLM ...

Showing results 41-60

Ai Model Trainer information

See Decatur, GA salary details

$11

$25

$42

How much do ai model trainer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for ai model trainer in Decatur, GA is $25.10, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $29.09 per hour, depending on experience, location, and employer.

What does an AI model trainer do?

An AI Model Trainer is responsible for developing, training, and refining artificial intelligence models using large datasets. They preprocess data, select appropriate algorithms, monitor model performance, and tune parameters to improve accuracy and efficiency. Model trainers often collaborate with data scientists, engineers, and domain experts to ensure the AI meets specific requirements and delivers reliable results. Their work is essential for creating applications like image recognition, natural language processing, and predictive analytics.

What are some typical challenges faced by AI model trainers when working with large datasets?

AI Model Trainers frequently encounter challenges such as ensuring data quality, handling imbalanced datasets, and maintaining data privacy. Working with large datasets often requires careful preprocessing and cleaning to avoid biases and inaccuracies in the model. Additionally, trainers must collaborate closely with data engineers, domain experts, and software developers to validate data sources and to fine-tune models for optimal performance. Addressing these challenges is critical for producing reliable, high-performing AI systems.

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

To thrive as an AI Model Trainer, you need strong expertise in machine learning, data analysis, and a background in computer science or a related field, often supported by an advanced degree. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with data labeling and annotation tools are essential. Attention to detail, critical thinking, and effective communication help in accurately training and refining AI models while collaborating with diverse teams. These skills ensure that AI systems are trained accurately and efficiently, leading to reliable and ethical AI solutions.

What is the difference between Ai Model Trainer vs Data Scientist?

AspectAi Model TrainerData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentHands-on model training, data preprocessing, tuningData analysis, modeling, visualization, reporting
Employer & Industry UsageTech companies, AI startups, research labsTech, finance, healthcare, consulting firms
Search & Comparison IntentUnderstanding roles in AI developmentAnalyzing data to inform decisions

While both roles involve working with data and machine learning, an Ai Model Trainer primarily focuses on training and fine-tuning AI models, whereas a Data Scientist emphasizes analyzing data, building models, and deriving insights. The roles often overlap but serve different stages of AI and data projects.

What are popular job titles related to Ai Model Trainer jobs in Decatur, GA?

For Ai Model Trainer jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Ai Model Trainer jobs in Decatur, GA look for?

The top searched job categories for Ai Model Trainer jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Ai Model Trainer jobs?

Cities near Decatur, GA with the most Ai Model Trainer job openings:

Infographic showing various Ai Model Trainer job openings in Decatur, GA as of August 2026, with employment types broken down into 2% As Needed, 81% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,202 per year, or $25.1 per hour.

Litigation Associate Attorney -Remote

Atlanta, GA β€’ Remote

$140 - $400/hr

Full-time

Posted 16 days ago


Job description

Job Title: Litigation Associate Attorney

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Litigation Associate Attorneys from top-tier US law firms to contribute their legal expertise to a project focused on training and evaluating next-generation AI systems. In this role, you will apply your experience in complex litigation and transactional matters to review legal documents, analyze sophisticated scenarios, draft contractual provisions, and provide structured legal feedback.

The ideal candidate combines strong experience in M&A, private equity, capital markets, contract drafting, and data privacy with exceptional legal research, analytical reasoning, and written communication skills.

No prior AI experience is required—your legal expertise, practical judgment, and ability to analyze complex legal matters are what matter most.

Scope of Work
  • Review, analyze, and evaluate complex litigation and transactional documents, including agreements involving M&A, private equity, and capital markets.
  • Draft sample agreements, contractual provisions, and legal clauses based on sophisticated transactional scenarios.
  • Analyze legal scenarios and provide structured commentary to support AI model training and evaluation.
  • Evaluate issues involving data privacy, cross-border transactions, contractual risk, and complex commercial matters.
  • Apply practical legal judgment to simulated litigation and transactional scenarios.
  • Develop and contribute to legal frameworks, evaluation criteria, and structured review rubrics.
  • Identify legal risks, ambiguities, inconsistencies, and potential issues in AI-generated legal content.
  • Provide precise and actionable feedback to improve the accuracy and practical applicability of AI-generated legal work.
  • Collaborate remotely with interdisciplinary teams, including legal, research, and technology professionals.
  • Participate in iterative review and feedback cycles to refine training data and legal evaluation standards.
Required Skills
  • M&A
  • Contract Drafting
  • Private Equity
  • Capital Markets
  • Data Privacy
  • Legal Research & Analysis
  • Legal Document Review
  • Remote Collaboration
  • Multidisciplinary Teamwork
  • Structured Legal Reasoning
  • Attention to Detail
Preferred Qualifications
  • JD from a US law school and active bar admission in good standing in at least one US jurisdiction.
  • Experience at an AmLaw 100 or similarly prestigious US law firm.
  • Demonstrated experience handling complex litigation and sophisticated transactional matters.
  • Strong expertise in M&A, private equity, capital markets, contract drafting, and data privacy.
  • Experience drafting and reviewing high-value commercial agreements and transaction documents.
  • Exceptional written communication skills and the ability to articulate sophisticated legal reasoning clearly for varied audiences.
  • Proven ability to collaborate effectively with remote and multidisciplinary teams.
  • Familiarity with developing, applying, or evaluating structured legal review rubrics is a plus.
  • Strong legal research, analytical, and problem-solving capabilities.
  • Exceptional attention to detail when working with high-stakes legal documents and complex factual scenarios.
  • Interest in the intersection of legal practice, technology, and AI is advantageous.