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Flex Schedule Advanced Ai Data Trainer Jobs (NOW HIRING)

Booz Allen Hamilton

AI and ML Data Scientist

Mclean, VA · On-site

AI and ML Data Scientist The Opportunity: As an Agentic AI Engineer and Data Scientist for military ... Work with us as we develop advanced AI capabilities for the mission. Join us. The world can't wait.

Accenture

Snowflake Advanced AI Engineer,

San Francisco, CA · On-site

$134K - $161K/yr

As a Snowflake Advanced AI Engineer, you will design, build, and operationalize artificial ... data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and ...

Instant Serve LLC

AI Data Architect /REMOTE

Denver, CO · Remote

$75 - $80/hr

Advanced analytical and problem-solving skills. Preferred Skills & Experience * NIST AI Framework ... training or certification. * Residency in Colorado is preferred. Join us to shape the future of AI ...

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify ...

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Flex Schedule Advanced Ai Data Trainer information

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

As of Sep 1, 2026, the average hourly pay for flex schedule 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 the difference between Flex Schedule Advanced Ai Data Trainer vs Flex Schedule Ai Data Analyst?

AspectFlex Schedule Advanced Ai Data TrainerFlex Schedule Ai Data Analyst
Required CredentialsRelevant certifications in AI, data training, or machine learning; often a degree in computer science or related fieldDegree in data science, statistics, or related field; certifications in data analysis tools
Work EnvironmentRemote or flexible settings, focused on training AI models and data annotationRemote or office-based, analyzing data sets and generating reports
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, and tech industries

The Flex Schedule Advanced Ai Data Trainer primarily focuses on training AI models through data annotation and machine learning tasks, requiring specialized certifications. In contrast, the Flex Schedule Ai Data Analyst emphasizes analyzing data to inform business decisions. Both roles offer flexible schedules and are integral to data-driven industries, but they differ in their core responsibilities and required skills.

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Flex Schedule Advanced Ai Data Trainer jobs near you
Infographic showing various Flex Schedule Advanced Ai Data Trainer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, and 3% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

AI Data Science Expert - Remote

YO AI Labs

Chicago, IL • 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.