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Remote Computer Graphics Intern Jobs in California

AI Safety Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ... Clara, CA with remote/ hybrid work options. This is a full-time (W-2) contract role. We offer ...

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote ...

AI Security Engineer

Santa Clara, CA · On-site +1

$90 - $130/hr

... computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for Generative AI Security Engineer to support our client's team based out of in Santa Clara, CA with remote ...

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Drafter/CAD Operator II

San Diego, CA · On-site +1

$26.92 - $29.33/hr

Hybrid or remote work is not authorized Job Title * Drafter/CAD Operator II Salary * $26.92-$29.33 ... Technical School degree in Drafting, Illustrating or Graphic Arts. Minimum Years of Experience * 3 ...

AI Go-To-Market Team Intern

San Francisco, CA · Remote

$17.75 - $23.50/hr

Summer 2026 | 10 Weeks | Fully Remote | Full-Time | West Coast-Friendly Schedule About Aembit ... Currently enrolled in a bachelor's program in Computer Science, Software Engineering, Information ...

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Remote Computer Graphics Intern information

What is the difference between Remote Computer Graphics Intern vs Remote 3D Modeling Intern?

AspectRemote Computer Graphics InternRemote 3D Modeling Intern
Required SkillsBasic knowledge of computer graphics, rendering, and visualization toolsProficiency in 3D modeling software like Blender, Maya, or 3ds Max
Work EnvironmentCollaborative remote teams in tech, gaming, or animation industriesRemote work within design, gaming, or animation companies
Common UsageUsed in tech and entertainment sectors for visual content creationPrimarily in gaming, animation, and product design industries

The main difference between a Remote Computer Graphics Intern and a Remote 3D Modeling Intern lies in their focus areas. The graphics intern emphasizes general computer graphics skills, visualization, and rendering, while the 3D modeling intern specializes in creating and manipulating 3D assets. Both roles often work remotely within creative or tech industries, but their skill sets and project focuses differ accordingly.

What does a Remote Computer Graphics Intern do?

A Remote Computer Graphics Intern assists with creating, editing, and optimizing digital images, 3D models, and visual effects for various projects, such as games, movies, or software. They work closely with experienced designers and developers, often using specialized software like Adobe Creative Suite or Blender. Since the position is remote, interns collaborate and communicate with their team members through online platforms. This role provides hands-on experience in the computer graphics field and helps interns build a professional portfolio.

What are the key skills and qualifications needed to thrive as a Remote Computer Graphics Intern, and why are they important?

To thrive as a Remote Computer Graphics Intern, you need a solid understanding of graphic design principles, 2D/3D modeling, and familiarity with computer graphics concepts, often supported by coursework or a relevant degree in design or computer science. Proficiency with industry-standard tools such as Adobe Creative Suite, Blender, or Autodesk Maya is typically required. Strong communication, time management, and the ability to take feedback constructively are vital soft skills for remote collaboration and growth. These skills ensure effective project contributions, creative problem-solving, and seamless teamwork in a virtual environment.

What are some common challenges faced by remote computer graphics interns, and how can they be effectively addressed?

Remote computer graphics interns often encounter challenges related to communication, feedback, and collaboration due to the virtual nature of the role. To address these challenges, it's helpful to establish clear communication channels with your team, schedule regular check-ins with your supervisor, and document your work process thoroughly. Utilizing collaborative tools for file sharing and version control, such as Git or cloud-based platforms, can also streamline teamwork and reduce misunderstandings. Being proactive in seeking feedback and clarifying project requirements will ensure you stay aligned with team expectations and continue to develop your skills.
What cities in California are hiring for Remote Computer Graphics Intern jobs? Cities in California with the most Remote Computer Graphics Intern job openings:
ML Engineer, LLM Safety & Security

ML Engineer, LLM Safety & Security

Sustainable Talent

Santa Clara, CA • On-site, Remote

$90 - $130/hr

Other

PTO

Posted 28 days ago


Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a ML Engineer, LLM Safety & Security to support our client's team based out of in Santa Clara, CA with remote/ hybrid work options. 

This is a full-time (W-2) contract role. We offer competitive pay $90/hr - $130/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

As a Machine Learning Engineer, you'll work alongside NVIDIA's research and engineering teams, focused on AI Safety for LLMs, including multi-lingual, multi-modal, and reasoning models.  We value expertise in data science paired with a robust data engineering foundation.   This role is directed at assessing, and improving the safety and inclusivity of our LLM models in a scalable fashion.  We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model fine-tuning.  We believe in proactive problem-solving, minimal supervision, and being exceptional teammates who collaborate, think, and learn as one unit. Let's make a difference together!

What you'll be doing:

  • Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
  • Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
  • Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
  • Define and track key metrics for responsible LLM behavior and usage.
  • Follow the best practices of automation, monitoring, scale, safety.
  • Contribute to our repositories and develop safety tools to help ML teams be more effective.
  • Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
  • Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
  • Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or related field or equivalent experience.
  • 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
  • Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
  • Deep understanding of machine learning algorithms, statistical models, and data structures.
  • Familiarity with software development practices and version control systems (e.g., Git).
  • Good at problem solving and analytical ability.
  • Excellent collaboration and communication skills.

Ways to stand out from the crowd:

  • Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
  • Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
  • Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs  (Vision Language Model) or any-to-text
  • Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
  • Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.