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Advanced Ai Data Trainer Jobs (NOW HIRING)

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How much do advanced ai data trainer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for advanced ai data trainer in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is an advanced AI data trainer?

An Advanced AI Data Trainer is responsible for training, refining, and improving AI models by curating, labeling, and analyzing datasets. They ensure AI systems generate accurate and meaningful responses by reviewing outputs, identifying errors, and providing corrective feedback. This role requires strong analytical skills, attention to detail, and an understanding of machine learning concepts. Trainers collaborate with engineers and data scientists to enhance model performance and align AI outputs with real-world applications.

What does an advanced AI data trainer do?

A typical day for an Advanced AI Data Trainer involves labeling and curating data, reviewing and refining datasets for accuracy, and collaborating with data scientists, machine learning engineers, and subject matter experts. You may conduct quality checks, develop annotation guidelines, and provide feedback to ensure data consistency. Often, you'll juggle multiple projects simultaneously and participate in meetings to discuss project requirements or data-specific challenges. This role is dynamic and requires continuous learning to keep up with evolving AI technologies and best practices.

What are the key skills and qualifications needed to thrive in the advanced AI data trainer position, and why are they important?

To thrive as an Advanced AI Data Trainer, you need a strong foundation in data annotation, machine learning concepts, and programming skills—often backed by a relevant degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, data labeling software, and experience in quality assurance processes are highly beneficial, and certifications in AI or data science can strengthen your profile. Excellent attention to detail, communication, and problem-solving abilities help you collaborate effectively and ensure data accuracy. These skills are crucial for building high-quality datasets that enable the development and refinement of advanced AI models.

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What cities are hiring for Advanced Ai Data Trainer jobs?

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Infographic showing various Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Boston, MA • Remote

$100 - $200/hr

Part-time

Posted 21 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.