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Part Time Ai Engineer Salary In Jobs (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Role Summary As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language ...

Booz Allen Hamilton, Inc.

AI Developer

Arlington, VA · On-site +1

... engineer, you know that AI systems are critical to understanding and processing massive datasets in ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Mid

Dayton, OH · On-site

$77K - $176K/yr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site

$99K - $225K/yr

Experience in GPU programming, including CUDA or RAPIDs * Experience with AWS and containerization ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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How much do part time ai engineer salary in jobs pay per year?

As of Jun 28, 2026, the average yearly pay for part time ai engineer salary in in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

Which 3 jobs will survive AI?

Part Time AI Engineers are likely to continue working in roles that require creativity, complex problem-solving, and human judgment, such as AI research, ethical AI development, and specialized AI application development. These jobs involve tasks that are difficult for AI to fully automate and often require advanced skills in programming, data analysis, and domain expertise.

What engineers make $500,000?

Senior AI engineers, especially those with extensive experience, specialized skills in machine learning, deep learning, and large-scale data processing, can earn salaries of $500,000 or more annually. Such compensation often includes bonuses, stock options, or other incentives, particularly in high-demand industries like technology and finance.

What is the difference between Part Time Ai Engineer Salary In vs Part Time Data Scientist?

AspectPart Time Ai EngineerPart Time Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentTech companies, startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, machine learning projectsData analysis, predictive modeling
Salary Range$20-$50/hour$15-$45/hour

Part Time Ai Engineers and Part Time Data Scientists share similar credentials and work environments, often within tech-focused industries. While salaries overlap, Ai Engineers tend to earn slightly higher rates due to specialized AI skills, especially in machine learning and neural networks. Both roles are in demand for data-driven projects, but their focus areas differ, influencing salary variations.

How much do entry level AI engineers make?

Entry-level AI engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Starting salaries may be lower in some regions but tend to increase with skills in machine learning frameworks, programming languages like Python, and relevant certifications.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position such as an AI research director, senior machine learning engineer, or AI executive, often requiring advanced skills, extensive experience, and leadership responsibilities. Such roles may involve overseeing AI projects, developing innovative algorithms, and working with cutting-edge tools and frameworks, and they usually offer compensation packages including salary, bonuses, and stock options.
What are the most commonly searched types of Ai Engineer Salary In jobs? The most popular types of Ai Engineer Salary In jobs are:
What states have the most Part Time Ai Engineer Salary In jobs? States with the most job openings for Part Time Ai Engineer Salary In jobs include:
Part Time Ai Engineer Salary In jobs near you
AI Intern - Dallas, TX

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Posted 17 hours ago

Job description


AI Engineer Intern - AI Center of Excellence (CoE)
Location: Plano, Texas, USA
Internship Duration: 6-12 months (12 months preferred)
Company: Black Box
Eligibility: Master's students with at least 6 months remaining before graduation and prior professional experience in applied AI
Company Overview
Black Box Network Services is a leading global communications system integrator specializing in designing, sourcing, implementing, and managing complex technology solutions. As part of our strategic transformation, Black Box is expanding its AI Center of Excellence (CoE) to deliver enterprise-grade AI solutions across multiple business domains.
The AI CoE focuses on building scalable, secure, and production-ready AI systems, establishing best practices for enterprise AI adoption, and integrating AI capabilities into core business platforms.
Role Summary
As an AI Engineer Intern in the AI Center of Excellence (CoE), you will contribute to the design, development, and integration of applied AI solutions using pre-trained Large Language Models (LLMs), traditional machine learning techniques, and deterministic approaches.
This role offers hands-on experience building enterprise-grade Generative AI solutions across backend services, data pipelines, orchestration, and user-facing applications. Working closely with experienced AI engineers, you will contribute to real-world AI use cases integrated with platforms such as ServiceNow, SAP, Salesforce, and Azure services.
This internship is designed to strengthen applied AI engineering skills and prepare candidates for conversion into a full-time AI Engineer role.
Eligibility Requirements
  • Currently pursuing a Master's degree in Engineering or a related field (Computer Science, Artificial Intelligence, Data Science, or similar).
  • Must have at least 6 months remaining to complete the Master's program at the time of joining.
  • Must have a minimum of 2 years of relevant professional experience between Bachelor's and Master's programs.
  • Prior experience must include applied AI / Machine Learning, with hands-on exposure to Generative AI use cases.
  • Available for a full-time, on-site internship for a minimum of 6-12 months (depending on academic program constraints).

Key Responsibilities AI & Generative AI Development
  • Build and integrate AI solutions using pre-trained LLMs for conversational AI, summarization, and enterprise knowledge retrieval.
  • Implement RAG-based architectures connecting LLMs with structured and unstructured enterprise data.
  • Develop and test AI agents, traditional ML models, and deterministic logic for real-world use cases.
  • Contribute to AI orchestration using LangChain and workflow automation using n8n.

Full-Stack & Enterprise Integration
  • Build AI-enabled user interfaces and integrate them with backend services.
  • Develop and maintain backend APIs and services.
  • Integrate AI solutions with enterprise platforms such as ServiceNow, SAP, Salesforce, and Azure services.

Data, Testing & Deployment
  • Build and maintain data pipelines, including preprocessing and quality checks.
  • Support testing, debugging, deployment, and monitoring of AI services on Azure.
  • Document AI workflows, integrations, and solution lifecycle updates.

Learning & Collaboration
  • Collaborate with AI, data, and platform teams to deliver production-ready AI solutions.
  • Continuously learn and apply best practices in Generative AI, RAG patterns, and enterprise AI systems.

Required Technical Skills
  • Programming: Strong working knowledge of Python.
  • Applied AI / GenAI: Hands-on experience building or integrating ML or Generative AI solutions.
  • Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures.
  • Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript).
  • Frontend Development: Working experience building React-based user interfaces and integrating them with backend APIs.
  • Data Handling: Experience working with structured and unstructured data, including basic preprocessing or ETL.
  • APIs & Cloud: Experience consuming REST APIs and familiarity with cloud platforms (Azure preferred).

Required Prior Professional Experience
  • 2+ years of relevant professional experience between Bachelor's and Master's programs.
  • Experience in applied AI, machine learning, or software engineering with AI components.
  • Ability to translate AI concepts into working prototypes or production-ready solutions.

Required Soft Skills
  • Strong learning mindset, ownership, and clear communication with a structured problem-solving approach.

Preferred Skills / Experience
  • Familiarity with NLP concepts and foundational Generative AI models.
  • Awareness of responsible AI and basic AI governance concepts.
  • Exposure to Microsoft Power Platform or low-code automation tools.

About Black Box
Black Box is a leading technology solutions provider focused on accelerating customer success through innovation, ownership, transparency, and collaboration. With over 2,500 team members across 24 countries, Black Box delivers high-value solutions globally and is a wholly-owned subsidiary of AGC Networks. Black Box is an equal opportunity employer.

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