ZipRecruiter

Log In

1

Data Interpreter Jobs in Dallas, TX (NOW HIRING)

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 ...

YO AI Labs

AI Data Science 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 ...

GM Financial

AVP Data Science

Fort Worth, TX

Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability and statistics * Ability to identify and understand business issues and map these ...

New

next page

Showing results 1-20

All JobsData Interpreter JobsData Interpreter Jobs in Dallas, TX

Data Interpreter information

See Dallas, TX salary details

$29.2K

$65K

$70.2K

How much do data interpreter jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data interpreter in Dallas, TX is $65,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $68,300.00 per year, depending on experience, location, and employer.

What is a data interpreter?

A Data Interpreter is a professional who analyzes, translates, and explains complex data sets to help organizations make informed decisions. They bridge the gap between raw data and actionable insights by interpreting trends, patterns, and statistical information. Data Interpreters often work with data analysts and business leaders to present findings in a clear, understandable way, ensuring that data-driven recommendations are accessible to non-technical stakeholders. Their work is essential in industries like business, healthcare, and government where data-driven decisions are key.

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 abilities, statistical knowledge, and a background in mathematics, data science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic database querying (such as SQL) is commonly required. Excellent communication, attention to detail, and the ability to translate complex data into actionable insights are vital soft skills. These competencies are crucial for transforming raw data into meaningful information that supports informed business decisions.

How does a data interpreter typically collaborate with other departments within an organization?

Data Interpreters play a crucial role in bridging the gap between raw data and actionable business insights. They frequently collaborate with teams such as marketing, finance, and operations to understand their data needs and translate complex datasets into clear, meaningful reports. This often involves participating in cross-functional meetings, presenting findings, and ensuring that data-driven recommendations align with business goals. Effective communication and teamwork are essential, as Data Interpreters must tailor their analyses to different audiences and work closely with stakeholders to drive informed decision-making.

What are popular job titles related to Data Interpreter jobs in Dallas, TX?

For Data Interpreter jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Data Interpreter jobs in Dallas, TX look for?

The top searched job categories for Data Interpreter jobs in Dallas, TX are:

Data Interpreter jobs near you
Infographic showing various Data Interpreter job openings in Dallas, TX 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, 4% Hybrid, and 10% Remote job distribution, with an average salary of $65,009 per year, or $31.3 per hour.

AI Data Scientist Expert - Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Posted 18 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.