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Internship Salesforce Tester Jobs (NOW HIRING)

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

... SAP, Salesforce, and Azure services . This internship is designed to strengthen applied AI ... Support testing, debugging, deployment, and monitoring of AI services on Azure. * Document AI ...

University of St Thomas

CRM Administrator

Saint Paul, MN · On-site

$64K - $73K/yr

They will assist with the design, development, testing, deployment, and support as well as ensuring ... Create, maintain, and document Salesforce configuration and declarative development including ...

AEI

Marketing Operations Assistant

Washington, DC · On-site

... up, testing, troubleshooting, and deploying. * Collaborate with the customer relationship ... Help train and manage departmental interns. Physical Requirements and Working Conditions at AEI

Daniels Health

Sales Representative

Ellenwood, GA

Administer and maintain the CRM system (Salesforce), ensuring accurate data and insights for the ... Prior experience in sales, customer service, or account support (including internships or ...

Daniels Health

Sales Representative

Ellenwood, GA · On-site

$55K - $65K/yr

Administer and maintain the CRM system (Salesforce), ensuring accurate data and insights for the ... Prior experience in sales, customer service, or account support (including internships or part-time ...

Daniels Health

Sales Representative

Ellenwood, GA

$55K - $65K/yr

Administer and maintain the CRM system (Salesforce), ensuring accurate data and insights for the ... Prior experience in sales, customer service, or account support (including internships or parttime ...

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How much do internship salesforce tester jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for internship salesforce tester in the United States is $47.54, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $56.01 per hour, depending on experience, location, and employer.

What is the difference between Internship Salesforce Tester vs Salesforce QA Tester?

AspectInternship Salesforce TesterSalesforce QA Tester
CredentialsTypically pursuing or recent graduate, basic knowledge of Salesforce and testingUsually requires relevant certifications and experience in Salesforce testing
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time or contract role, responsible for testing Salesforce applications
Employer & IndustryCompanies using Salesforce, entry-level positions in tech or consulting firmsOrganizations implementing Salesforce, quality assurance teams

The Internship Salesforce Tester is an entry-level position aimed at gaining hands-on experience in Salesforce testing, often held by students or recent graduates. In contrast, a Salesforce QA Tester is a more experienced role requiring relevant certifications and a deeper understanding of testing processes. Both roles focus on ensuring Salesforce applications function correctly, but they differ significantly in responsibilities, experience, and career stage.

More about Internship Salesforce Tester jobs
What cities are hiring for Internship Salesforce Tester jobs? Cities with the most Internship Salesforce Tester job openings:
What are the most commonly searched types of Salesforce Tester jobs? The most popular types of Salesforce Tester jobs are:
What states have the most Internship Salesforce Tester jobs? States with the most job openings for Internship Salesforce Tester jobs include:
What job categories do people searching Internship Salesforce Tester jobs look for? The top searched job categories for Internship Salesforce Tester jobs are:
Internship Salesforce Tester jobs near you
Infographic showing various Internship Salesforce Tester job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,889 per year, or $47.5 per hour.
AI Intern - Dallas, TX

AI Intern - Dallas, TX

Black Box

Plano, TX • On-site

Part-time

Posted 8 days 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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