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Data Interpretation Jobs (NOW HIRING)

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

New

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Chicago, IL · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Austin, TX · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

YO AI Labs

AI Data Scientist Expert - Remote

Dallas, TX · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

Integrated Resources

Registered Dietician

Brooklyn, NY · On-site

$55 - $60/hr

Patient Screening, Patient Assessment, Nutritional Needs Determination, Follow-Up Care, Patient Interviewing, Physical Data Interpretation, Laboratory Data Interpretation, Social Data Interpretation ...

YO AI Labs

AI Data Scientist Expert - Remote

Houston, TX · Remote

$100 - $200/hr

Data Interpretation * Fact Checking * Independent Research * Problem-Solving * Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI ...

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Showing results 21-40

All JobsData Interpretation Jobs

Data Interpretation information

See salary details

$46K

$165K

$243.5K

How much do data interpretation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data interpretation in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data interpretation job?

A data interpretation job involves analyzing data sets to extract meaningful insights, often using tools like Excel, SQL, or data visualization software. Professionals in this role interpret statistical results, identify trends, and support decision-making processes within organizations.

What is the difference between Data Interpretation vs Data Analysis?

AspectData InterpretationData Analysis
Primary FocusUnderstanding and explaining data insightsExamining data to identify patterns and trends
Skills RequiredAnalytical thinking, communication, visualizationStatistical skills, programming, data manipulation
Tools UsedCharts, reports, visualization softwareExcel, SQL, Python, R
Work EnvironmentBusiness meetings, reporting, presentationsData warehouses, analysis platforms

Data Interpretation involves explaining what data means and communicating insights, often to non-technical stakeholders. Data Analysis focuses on examining raw data to uncover patterns and trends, often using statistical tools. While both roles require analytical skills, Data Interpretation emphasizes understanding and storytelling, whereas Data Analysis emphasizes technical data manipulation and discovery.

What is data interpretation?

Data interpretation is the process of analyzing data sets and extracting meaningful insights or conclusions from them. It involves examining data in various forms, such as tables, charts, and graphs, to identify patterns, trends, and relationships. This skill is essential in many fields, including business, research, and education, as it helps inform decision-making and problem-solving. Effective data interpretation requires critical thinking, attention to detail, and a good understanding of the context in which the data was collected.

What are the key skills and qualifications needed to thrive as a data interpreter, and why are they important?

To thrive as a Data Interpreter, you need strong analytical skills, statistical knowledge, and a solid understanding of data visualization, often supported by a degree in mathematics, statistics, or a related field. Familiarity with tools like Microsoft Excel, Tableau, or Python for data analysis and visualization is typically required. Attention to detail, critical thinking, and the ability to communicate complex findings clearly are valuable soft skills in this role. These skills ensure accurate data-driven insights and effective communication to guide business decisions.

How does a data interpretation specialist typically collaborate with cross-functional teams to drive business insights?

Data Interpretation specialists frequently work alongside analysts, business managers, and IT teams to translate raw data into actionable insights. They are responsible for clarifying data trends, ensuring data accuracy, and contextualizing findings for non-technical stakeholders, often presenting results through visualizations or reports. Effective collaboration requires strong communication skills and a good understanding of both business objectives and technical data limitations. This teamwork enables organizations to make informed decisions and continuously improve processes based on data-driven evidence.
More about Data Interpretation jobs

What are the most commonly searched types of Data Interpretation jobs?

The most popular types of Data Interpretation jobs are:

What states have the most Data Interpretation jobs?

States with the most job openings for Data Interpretation jobs include:

What job categories do people searching Data Interpretation jobs look for?

The top searched job categories for Data Interpretation jobs are:

Data Interpretation jobs near you
Infographic showing various Data Interpretation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

AI Data Scientist - Remote

YO AI Labs

New York, NY • Remote

Part-time

Posted 2 days ago

New

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.