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Entry Level Remote Data Modeler Jobs in Philadelphia, PA

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation ... Provide detailed feedback to improve AI model performance and financial reasoning. Required Skills

Showing results 21-40

Entry Level Remote Data Modeler information

See Philadelphia, PA salary details

$10

$59

$83

How much do entry level remote data modeler jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level remote data modeler in Philadelphia, PA is $59.25, according to ZipRecruiter salary data. Most workers in this role earn between $53.12 and $68.89 per hour, depending on experience, location, and employer.

What does an entry level remote data modeler do?

An Entry Level Remote Data Modeler assists in designing, creating, and maintaining data models that organize and structure information for companies, typically while working from home. They work closely with data architects and analysts to translate business requirements into technical data structures, such as databases or data warehouses. Their tasks may include creating diagrams, documenting data flows, and ensuring data integrity. This role often requires proficiency in data modeling tools and a basic understanding of databases and data management concepts.

What are the key skills and qualifications needed to thrive as an entry level remote data modeler, and why are they important?

To thrive as an Entry Level Remote Data Modeler, you need foundational knowledge in database concepts, data modeling principles, and a relevant degree in computer science or information systems. Familiarity with tools like ER/Studio, Microsoft Visio, and SQL-based database systems is typically expected. Strong analytical thinking, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are important because they ensure accurate data structure design, collaboration with remote teams, and successful implementation of data solutions.

What are the typical challenges faced by entry level remote data modelers, and how can they overcome them?

Entry-level remote data modelers often face challenges such as limited access to immediate mentorship, difficulty understanding complex data structures, and ensuring clear communication with distributed teams. To overcome these obstacles, it’s important to proactively seek feedback through regular virtual meetings, utilize collaboration platforms for documentation and model sharing, and participate in online forums or communities for peer support. Building a habit of clear, detailed documentation and asking clarifying questions early can also help navigate the learning curve and contribute effectively to team projects.

What is the difference between Entry Level Remote Data Modeler vs Entry Level Remote Data Analyst?

AspectEntry Level Remote Data ModelerEntry Level Remote Data Analyst
Primary FocusDesigning and developing data models and database structuresAnalyzing data sets to identify trends and generate reports
Required SkillsData modeling, SQL, database design, understanding of data architectureData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, often collaborating with data engineers and developersRemote, working with business teams and stakeholders
Common CertificationsNone required but beneficial: Microsoft Certified Data Analyst, IBM Data ScienceNone required but beneficial: Microsoft Certified Data Analyst, Google Data Analytics

While both roles are entry-level and often remote, data modelers focus on structuring and designing data systems, whereas data analysts interpret data to support decision-making. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the most commonly searched types of Remote Data Modeler jobs in Philadelphia, PA?

The most popular types of Remote Data Modeler jobs in Philadelphia, PA are:

What job categories do people searching Entry Level Remote Data Modeler jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Remote Data Modeler jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Entry Level Remote Data Modeler jobs?

Cities near Philadelphia, PA with the most Entry Level Remote Data Modeler job openings:

Infographic showing various Entry Level Remote Data Modeler job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,232 per year, or $59.2 per hour.

English Language Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$30 - $50/hr

Full-time

Posted 14 days ago


Job description

English Language Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced English Language Experts to support a high-impact AI training and evaluation project. In this hourly remote role, you will review AI-generated English-language responses, create expert-level language content, evaluate reasoning quality, and provide precise, actionable feedback.

You will help improve AI models by assessing responses for accuracy, clarity, linguistic quality, reasoning, and adherence to prompts. The role requires strong language expertise, analytical thinking, attention to detail, and the ability to clearly explain and correct complex language or reasoning issues.

Key Responsibilities
  • Create high-quality prompts and expert responses across diverse topics to support AI model training.

  • Review AI-generated English responses for accuracy, clarity, relevance, and adherence to the given prompt.

  • Evaluate the quality of reasoning and step-by-step solutions.

  • Identify errors in logic, meaning, methodology, grammar, syntax, or conceptual understanding.

  • Fact-check information when necessary and identify unsupported or inaccurate claims.

  • Edit and revise AI-generated responses to demonstrate correct, natural, and effective language.

  • Provide precise, clear, and actionable written feedback explaining errors and recommended improvements.

  • Rate and compare multiple AI responses based on correctness, reasoning quality, fluency, and contextual relevance.

  • Evaluate AI outputs for ambiguity, inconsistencies, meaning drift, and potential biases.

  • Apply relevant style guides and maintain consistency in tone, terminology, punctuation, capitalization, and formatting.

  • Develop AI training content that improves model accuracy, fluency, and contextual understanding.

  • Test AI models across different use cases to identify potential quality and reliability issues.

  • Use AI tools such as ChatGPT, Gemini, Perplexity, and other relevant platforms during content creation and evaluation.

  • Maintain consistent quality and productivity in an hourly, remote contractor environment.

Required Qualifications
  • Bachelor’s degree or higher in Linguistics, English, Translation/Localization, Communications, Journalism, or a related field.

  • Minimum C1 English proficiency, with C2 or native-level command strongly preferred.

  • Strong knowledge of grammar, syntax, semantics, pragmatics, discourse structure, and stylistic editing.

  • Exceptional attention to detail and ability to identify subtle errors, ambiguity, inconsistencies, and meaning drift.

  • Excellent written and verbal communication skills.

  • Ability to clearly explain corrections, reasoning, and language decisions.

  • Strong analytical and critical-thinking skills.

  • Ability to apply style guides and maintain consistency across different content types and registers.

  • Ability to work independently and reliably in a remote environment across time zones.

Preferred Qualifications
  • Professional proficiency in at least one additional language.

  • Previous experience in AI data training, annotation, editorial QA, localization QA, or professional copyediting.

  • Experience evaluating AI-generated content or training data.

  • Strong hands-on experience using ChatGPT, Gemini, Perplexity, or similar AI tools.

  • Experience developing prompts or creating AI training datasets.

  • Familiarity with AI model evaluation, response ranking, or quality assurance.

  • Experience working with multilingual, technical, editorial, or content-focused projects.

Core Skills
  • Expert English – C1/C2

  • Linguistics

  • Grammar & Syntax

  • Semantics & Pragmatics

  • Discourse Analysis

  • Stylistic Editing

  • AI Response Evaluation

  • Prompt Development

  • AI Training Data

  • Reasoning Evaluation

  • Fact-Checking

  • Editorial Quality Assurance

  • Attention to Detail

  • Written Communication

  • Verbal Communication

  • Critical Thinking

  • Multilingual Proficiency