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Internship Remote Masters Exercise Science information

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$2.1K

$6.4K

$7.8K

How much do internship remote masters exercise science jobs pay per month?

As of Aug 23, 2026, the average monthly pay for internship remote masters exercise science in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is the difference between Internship Remote Masters Exercise Science vs Exercise Physiologist?

AspectInternship Remote Masters Exercise ScienceExercise Physiologist
CredentialsEnrolled in or completed a master's in exercise scienceBachelor's or master's in exercise physiology or related field; certification often preferred
Work EnvironmentRemote, educational, or research settingsClinics, hospitals, fitness centers, or sports facilities
Employer & IndustryUniversities, research institutions, or internship programsHealthcare, sports medicine, rehabilitation centers

Internship Remote Masters Exercise Science is a training or educational position for students or recent graduates, often remote, focusing on gaining experience. An Exercise Physiologist is a professional working directly with clients in clinical or fitness settings, providing exercise prescriptions and health assessments. The internship is a learning opportunity, while the Exercise Physiologist is a certified practitioner.

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Internship Remote Masters Exercise Science jobs near you
Infographic showing various Internship Remote Masters Exercise Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 74% Physical, 4% Hybrid, and 22% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

AI Data Science Expert - Remote

YO AI Labs

Los Angeles, CA • Remote

$100 - $200/hr

Part-time

Posted 11 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.