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Internship Intelligent Automation Jobs (NOW HIRING)

... intelligent automation and knowledge systems • Integrate and structure data across internal ... excluding internships) • Proficiency in backend technologies. Our tech stack includes Python ...

... internships, or professional experience. • Certification in technical communication or content ... The Mind Behind the Machine Dematic is a trusted partner in intelligent automation for the supply ...

... internships, or professional experience. • Certification in technical communication or content ... The Mind Behind the Machine Dematic is a trusted partner in intelligent automation for the supply ...

Tax Prep Intern

$20 - $24/hr

... spreadsheets with intelligent automation that delivers real-time clarity and control. We're a ... This isn't a traditional internship - it's a specialized role for high-potential accounting ...

... role (internship or co-op experience acceptable). Core Competencies * Strong understanding of ... Experience with OCR, Intelligent Document Processing, or AI-assisted workflow automation Job ...

Junior Accountant

Philadelphia, PA · Hybrid

$47.90K - $60.50K/yr

Internship or prior experience in a SaaS or technology company * Familiarity with Salesforce or ... intelligent automation, and data-driven decision-making. We are a global company with a ...

... through intelligent automation. We are building a GenAI-powered, agentic automation platform ... Familiarity with Generative AI concepts through coursework, internships, or projects (e.g., LLM ...

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Internship Intelligent Automation information

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How much do internship intelligent automation jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship intelligent automation in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intelligent Automation Intern, and why are they important?

To thrive as an Intelligent Automation Intern, you need a solid understanding of process automation concepts, basic programming skills (such as Python or Java), and enrollment in a relevant degree program like computer science or engineering. Familiarity with automation platforms like UiPath, Blue Prism, or Automation Anywhere, as well as knowledge of workflow management and data analysis tools, is highly beneficial. Strong analytical thinking, attention to detail, and effective communication skills set candidates apart in this role. These skills are crucial for successfully designing, testing, and implementing automation solutions that drive operational efficiency and innovation.

What types of projects can an intern expect to work on in an Intelligent Automation internship?

As an Intelligent Automation intern, you can expect to work on projects involving the development and deployment of automation solutions using tools like RPA (Robotic Process Automation), machine learning, and data analytics. Typical tasks might include analyzing business processes for automation opportunities, building bots to automate repetitive tasks, and supporting the integration of AI-driven technologies with existing systems. Interns often collaborate closely with IT teams, business analysts, and process owners, gaining exposure to both technical and business aspects of automation. This hands-on experience not only builds your technical skills but also enhances your understanding of how automation drives efficiency in real-world business environments.

What is an Internship in Intelligent Automation?

An Internship in Intelligent Automation is a short-term work opportunity for students or recent graduates to gain hands-on experience in automating business processes using advanced technologies like artificial intelligence (AI), machine learning, and robotic process automation (RPA). Interns typically assist with designing, developing, and testing automation solutions under the guidance of professionals. Such internships help individuals build practical skills, understand industry tools, and often serve as a pathway to full-time roles in automation or related fields.

What is the difference between Internship Intelligent Automation vs Internship Data Analysis?

AspectInternship Intelligent AutomationInternship Data Analysis
Required SkillsBasic programming, automation tools, process understandingData manipulation, statistical analysis, Excel, SQL
Work EnvironmentAutomation projects, process improvement teamsData reporting, insights generation, business analysis
Industry UsageManufacturing, finance, IT, healthcareMarketing, finance, research, consulting

Internship Intelligent Automation focuses on automating processes using tools like RPA and scripting, while Internship Data Analysis emphasizes interpreting data to support decision-making. Both roles often share technical skills but serve different operational functions within organizations.

More about Internship Intelligent Automation jobs
What cities are hiring for Internship Intelligent Automation jobs? Cities with the most Internship Intelligent Automation job openings:
What are the most commonly searched types of Intelligent Automation jobs? The most popular types of Intelligent Automation jobs are:
What states have the most Internship Intelligent Automation jobs? States with the most job openings for Internship Intelligent Automation jobs include:
Infographic showing various Internship Intelligent Automation job openings in the United States as of May 2026, with employment types broken down into 11% Internship, 58% Full Time, 11% Part Time, 3% Temporary, and 17% Contract. Highlights an 55% Physical, 11% Hybrid, and 34% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Backend Software Engineer (Evals)

Backend Software Engineer (Evals)

OpenAI

Seattle, WA • On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They are seeking a Backend Software Engineer to design and build an evals infrastructure that measures the quality of OpenAI’s support automation, collaborating closely with Data Science and Research partners.
Responsibilities:
• Design eval pipelines that are reliable, reproducible, and extendable
• Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
• Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
• Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
• Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
• Own the full development lifecycle of new backend systems and internal platform capabilities
• Build with scale and maintainability in mind, while rapidly iterating on new ideas
Qualifications:
Required:
• 4+ years of backend engineering experience at product-driven companies (excluding internships)
• Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
• Experience designing and scaling distributed systems, APIs, or data processing pipelines
• Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
• Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
• Experience creating production evals and/or measuring performance of ML/LLM models at scale
• A pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term vision
Company:
OpenAI is an AI research and deployment company that develops advanced AI models, including ChatGPT. It is a sub-organization of OpenAI Foundation. Founded in 2015, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.