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Part Time Prompt Engineering Jobs in Dallas, TX (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

AI Data Science Expert - Remote

Dallas, TX ยท Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

AI Finance Expert - Remote

Dallas, TX ยท Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

AI Consulting Expert - Remote

Dallas, TX ยท Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

AI Intern- Recycling

Irving, TX ยท On-site

$14 - $18.75/hr

it's what's inside that counts- This position is part time, 15 hours per week. There's more to CMC ... Exposure to Microsoft Copilot, generative AI tools, prompt engineering, or AI-assisted productivity ...

AI Intern- Recycling

Irving, TX

$14 - $18.75/hr

it's what's inside that counts- This position is part time, 15 hours per week. _____ There's more ... Exposure to Microsoft Copilot, generative AI tools, prompt engineering, or AI-assisted productivity ...

Non-Exempt, Part-Time, As Needed Supervisory Role: No Date Updated: 3/19/2026 Objective: The ... Prompt response and resolution to constructive feedback from the Production Director * Good problem ...

Part Time Prompt Engineering information

See Dallas, TX salary details

$47K

$100.6K

$144.4K

How much do part time prompt engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for part time prompt engineering in Dallas, TX is $100,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $116,200.00 per year, depending on experience, location, and employer.

What is part time prompt engineering?

Part time prompt engineering refers to working on designing, testing, and refining prompts for artificial intelligence systems, such as large language models, on a part-time basis. Prompt engineers help improve how AI models understand and respond to user inputs by crafting effective instructions or questions. This role typically involves collaborating with teams to optimize AI outputs for specific tasks or applications. Part time positions allow for flexible work schedules, making it suitable for students or professionals seeking supplemental income.

What are the key skills and qualifications needed to thrive as a part time prompt engineer?

To thrive as a Part Time Prompt Engineer, you need a solid understanding of natural language processing (NLP), creativity in language design, and familiarity with AI model behavior, often supported by a background in computer science or linguistics. Proficiency with tools like OpenAI APIs, prompt testing platforms, and version control systems (e.g., Git) is important, and certifications in AI or data science can be advantageous. Strong analytical thinking, attention to detail, and effective communication help in refining prompts and collaborating with cross-functional teams. These combined skills ensure prompts are clear, effective, and aligned with intended outcomes, resulting in optimal AI model performance.

What are some common challenges faced in a part time prompt engineering role, and how can they be managed effectively?

Part-time prompt engineers often need to quickly adapt to changing project requirements and work with limited context compared to full-time counterparts. Balancing multiple tasks within reduced hours can make it challenging to stay updated on the latest AI model developments and best practices. To manage these challenges, effective time management, clear communication with the team, and utilizing collaborative tools are essential. Regularly reviewing project documentation and participating in knowledge-sharing sessions can also help part-time prompt engineers stay aligned with team goals and maintain high-quality outputs.

What is the difference between Part Time Prompt Engineering vs Part Time Data Annotation?

AspectPart Time Prompt EngineeringPart Time Data Annotation
Required CredentialsBasic understanding of AI, NLP, and prompt designAttention to detail, basic data labeling skills
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, data labeling platforms
Employer & Industry UsageAI companies, tech startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding prompt design roles, freelance or part-time workData labeling tasks, annotation jobs, training data creation

Part Time Prompt Engineering involves designing and refining prompts for AI models, requiring some knowledge of NLP and AI concepts. In contrast, Part Time Data Annotation focuses on labeling data to train AI systems, emphasizing attention to detail. Both roles are common in AI development but differ in skills and daily tasks.

What are the most commonly searched types of Prompt Engineering jobs in Dallas, TX?

The most popular types of Prompt Engineering jobs in Dallas, TX are:

What job categories do people searching Part Time Prompt Engineering jobs in Dallas, TX look for?

The top searched job categories for Part Time Prompt Engineering jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Part Time Prompt Engineering jobs?

Cities near Dallas, TX with the most Part Time Prompt Engineering job openings:

Infographic showing various Part Time Prompt Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $100,610 per year, or $48.4 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Dallas, TX โ€ข Remote

$100 - $200/hr

Part-time

Posted 5 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.