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

Oncology Expert - Remote

Atlanta, GA · Remote

$150 - $200/hr

Support AI model training by delivering high-quality clinical evaluations and expert feedback. Required Skills * Clinical Oncology * Clinical Hematology * Clinical Trial Evaluation * CTCAE Grading

Responsibilities : • Model Performance Monitoring: Tracking ML,LLM, Agentic AI key performance ... training content for technical and non-technical audiences at all levels of seniority • ...

Senior Associate, AI Engineer

Atlanta, GA · On-site

$53.25 - $68.50/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data preparation for AI/ML model training, and integrate AI solutions into enterprise applications.

Quality Engineer AI

Atlanta, GA · On-site

$69K - $89K/yr

Validate training datasets, model outputs, and data pipelines * Collaborate with Data Scientists, AI Engineers, Product Managers, and Developers * Monitor AI system behavior in production and ...

Posted today

AI Architect

Alpharetta, GA · On-site

$60.50 - $78/hr

Work is looking for a talented AI/ML Engineer to design, develop, and deploy machine learning and ... model training • Collaborate with data scientists, software engineers, and product teams • ...

We're currently expanding into an exciting new area - teaching AI Assistant models to be a more ... To succeed in this position, you should have expert-level financial reasoning and formal training ...

AI/ML engineer

Atlanta, GA · On-site

$110K - $132K/yr

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

Showing results 21-40

Ai Model Trainer information

See Decatur, GA salary details

$11

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How much do ai model trainer jobs pay per hour?

As of Aug 19, 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.

Oncology Expert - Remote

YO AI Labs

Atlanta, GA • Remote

$150 - $200/hr

Full-time

Posted 8 days ago


Job description

Job Title: Oncology Expert Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by evaluating clinical content, reviewing trial data, and providing expert medical judgment. No prior AI experience is required—your clinical expertise and domain knowledge are what matter most.

Key Responsibilities
  • Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

  • Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess medical accuracy.

  • Evaluate the clinical relevance of efficacy and safety conclusions, including endpoints and treatment outcomes.

  • Assess dose escalation strategies, dose-limiting toxicities, adverse event grading, attribution, and patient safety narratives.

  • Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible interpretations.

  • Provide structured, guideline-based written explanations of clinical reasoning and findings.

  • Support AI model training by delivering high-quality clinical evaluations and expert feedback.

Required Skills
  • Clinical Oncology

  • Clinical Hematology

  • Clinical Trial Evaluation

  • CTCAE Grading

  • RECIST

  • Lugano Criteria

  • IMWG Criteria

  • IWCLL Criteria

  • ELN Criteria

  • Outcome Endpoint Analysis (ORR, DoR, PFS, OS, MRD)

  • Dose Escalation Assessment

  • Adverse Event Grading & Attribution

Preferred Qualifications
  • Board certification or specialist registration in Medical Oncology and/or Hematology.

  • 5+ years of post-training clinical experience.

  • Direct experience with clinical trials as an investigator, sub-investigator, medical monitor, safety physician, or clinical development physician.

  • Experience reviewing clinical trial documents, including protocols, investigator brochures, clinical study reports, safety narratives, and DSMB/IDMC materials.

  • Strong understanding of oncology and hematology response criteria and clinical endpoints.

  • Excellent written communication skills with the ability to explain complex clinical concepts clearly.

  • Experience in medical monitoring, medical director roles, adjudication committees, or independent review committees is preferred.

  • Peer-reviewed publications or authorship of clinical trial manuscripts is a plus.

  • Experience with AI-assisted clinical review tools is an advantage.