1

Internship Captioning Jobs (NOW HIRING)

Scheduler

Washington, DC

$27.14 - $36.18/hr

... captioning services, and coordinating communication and information. * Evaluates and assigns ... and internships/externships/teaching each semester, student success activities, campus ...

... environment (internship experience considered). * Strong proficiency in Adobe Premiere Pro and ... Familiarity with generative AI tools for editing, captioning, or effects. * Hands-on experience ...

Add accurate video captioning to ensure accessibility and clarity; * Assist with basic design needs ... internship experience. * A demonstrated ability to write accurate, pithy, culturally-relevant ...

... environment (internship experience considered). * Strong proficiency in Adobe Premiere Pro and ... Familiarity with generative AI tools for editing, captioning, or effects. * Hands-on experience ...

next page

Showing results 1-20

Internship Captioning information

See salary details

$5

$16

$25

How much do internship captioning jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for internship captioning in the United States is $16.65, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.51 per hour, depending on experience, location, and employer.

What is an Internship Captioning position?

An Internship Captioning position involves working as an intern to create accurate captions for audio or video content. Captioning interns typically transcribe spoken words, sounds, and other audio cues into written text to make media accessible to a wider audience, such as individuals who are deaf or hard of hearing. This role helps interns develop skills in transcription, attention to detail, and familiarity with accessibility standards. Interns may work with live broadcasts, pre-recorded videos, or educational materials, depending on the organization.

What is the difference between Internship Captioning vs Captioning Specialist?

AspectInternship CaptioningCaptioning Specialist
CredentialsBasic understanding of captioning tools, often students or entry-levelProven experience, certifications like CC (Certified Captioner) preferred
Work EnvironmentInternship programs, training settings, part-time or temporaryFull-time or freelance professional settings, media companies
Industry UsageUsed for training, skill development, and entry-level exposureRegularly employed for live or recorded captioning services

Internship Captioning typically involves entry-level tasks aimed at training and skill development, often in a temporary or educational setting. In contrast, a Captioning Specialist is a professional with experience and certifications, providing reliable captioning services in media and broadcasting industries.

What are the key skills and qualifications needed to thrive as an Internship Captioning professional, and why are they important?

To thrive in an Internship Captioning role, you need excellent listening skills, fast and accurate typing abilities, and a strong command of grammar and language. Familiarity with captioning software such as Amara, CaptionMaker, or similar tools, and sometimes knowledge of accessibility standards like ADA compliance, is typically required. Attention to detail, time management, and the ability to work independently are valuable soft skills for this position. These competencies ensure the creation of accurate, accessible captions that improve communication and inclusivity for diverse audiences.

What are the typical challenges faced during an Internship Captioning role, and how can interns effectively overcome them?

Interns in captioning roles often encounter challenges such as maintaining accuracy while working quickly, understanding diverse accents, and keeping up with technical jargon or fast-paced dialogue. To overcome these, it's helpful to develop strong attention to detail, familiarize yourself with relevant subject matter, and use specialized software efficiently. Seeking feedback from supervisors and collaborating with experienced team members can also accelerate your learning and improve the quality of your captions.
More about Internship Captioning jobs
What cities are hiring for Internship Captioning jobs? Cities with the most Internship Captioning job openings:
What are the most commonly searched types of Captioning jobs? The most popular types of Captioning jobs are:
What states have the most Internship Captioning jobs? States with the most job openings for Internship Captioning jobs include:
Senior Systems Software Engineer, Machine Learning

Senior Systems Software Engineer, Machine Learning

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 4 days ago


Job description

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It's a unique legacy of innovation fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
We're hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. If you've spent more time than you'd like to admit building workflows to populate data and/or diversify/expand your dataset, you'll likely feel at home here. Bonus points if you've worked with 3D computer vision (extra bonus if you actually enjoyed it). The team is a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership. If you enjoy building systems that get used-and working with people who know when to debate and when to just run the experiment-this jobs is for you.
What you will be doing:
  • Convert research into real products (not just slide decks or notebooks)
  • Help build workflows that diversify datasets and/or populate data
  • Ship machine learning workflows/pipelines fast and iterate faster
  • Leverage LLM/VLM and agents in the data generation pipeline
  • Define evaluation criteria and run offline evals before any model or prompt change reaches production"

What we need to see:
  • Masters degree, or preferably a PhD degree in Computer Science or a related field or equivalent experience
  • 5+ years of experience
  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.
  • Strong background in computer vision and deep learning.
  • Excellent programming skills in Python and C/C++.
  • Excellent software engineering fundamentals.
  • Ability to develop code in Unix/Linux environments.
  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.
  • Strong collaboration skills to partner with other teams.

Ways to stand out from the crowd:
  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"
  • Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks
  • Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 30, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993