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Intern Ai Model Training Jobs (NOW HIRING)

Unconventional AI

AI Systems, Training

The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms. Responsibilities : • Build and maintain highly ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato ... models * High-Performance LLM Inference : Optimize inference pipelines through systems-level ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

Quartz ranked us the #1 best company for remote workers Workato AI Lab About Workato AI Lab Workato ... models * High-Performance LLM Inference : Optimize inference pipelines through systems-level ...

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Intern Ai Model Training information

What does an intern AI model training do?

An Intern in AI Model Training assists in developing, training, and evaluating artificial intelligence models under the guidance of senior data scientists or machine learning engineers. Their responsibilities may include preparing datasets, running experiments, tuning model parameters, and analyzing results. Interns often use programming languages like Python and frameworks such as TensorFlow or PyTorch. This role provides hands-on experience with real-world data and AI tools, helping interns gain foundational skills for a career in artificial intelligence.

What are the key skills and qualifications needed to thrive as an intern AI model training?

To thrive as an Intern in AI Model Training, you need a solid foundation in computer science, mathematics, and programming languages such as Python, often supported by ongoing studies in a related degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), data preprocessing tools, and version control systems is typically expected. Strong analytical thinking, attention to detail, and a willingness to learn are crucial soft skills that help interns excel in this role. These skills are important to effectively contribute to model development, troubleshoot issues, and collaborate within AI research teams.

What is the difference between Intern Ai Model Training vs Data Analyst Intern?

AspectIntern Ai Model TrainingData Analyst Intern
Required SkillsBasic programming, machine learning fundamentals, data preprocessingData analysis, Excel, SQL, statistical understanding
Work EnvironmentAI development teams, tech companies, research labsBusiness teams, finance, marketing, tech firms
CertificationsIntro to Machine Learning, Python programmingData analysis, Excel, SQL certifications

Intern Ai Model Training focuses on developing and training machine learning models, requiring programming and AI fundamentals. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and analytical skills. Both roles are common in tech and data-driven industries but differ in technical focus and daily tasks.

What cities are hiring for Intern Ai Model Training jobs?

Cities with the most Intern Ai Model Training job openings:

What are the most commonly searched types of Ai Model Training jobs?

The most popular types of Ai Model Training jobs are:

What states have the most Intern Ai Model Training jobs?

States with the most job openings for Intern Ai Model Training jobs include:

Intern Ai Model Training jobs near you
Infographic showing various Intern Ai Model Training job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Research Scientist Intern, AI, Cyber Security, Safety -- MSL Trust & Safety (PhD)

Menlo Park, CA

Meta
Internet and IT • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students

Learn more about Metaexternal

$7.6K - $12K/mo

Full-time, Internship

Posted 7 days ago

Job description

Meta Superintelligence Labs (MSL) is committed to advancing AI in a safe, responsible, and scalable way. The PAR Trust & Safety team sits at the heart of this mission: we ensure the safety of billions of users across Meta's products and services by developing and deploying robust safety mitigations that unblock our most ambitious AI capabilities. We work on safety risk mitigation to directly enable launches of top-priority frontier models and the products built on them (e.g., Meta AI), and we develop solutions with real users in mind — monitoring after deployment, iterating, and evolving our strategy as new AI capabilities and risks emerge.As a Research Scientist Intern on the PAR Trust & Safety team, you will pioneer new AI security techniques and paradigms for superintelligent AI, working hands-on across the full research lifecycle. Our internships are twelve (12) to twenty-four (24) weeks long.What You'll GainHands-on experience with Meta's frontier AI models and infrastructure at scaleMentorship from leading researchers in AI cybersecurityOpportunity to publish at top-tier venuesImpact on the safety of AI systems used by billions of people
Research Scientist Intern, AI, Cyber Security, Safety — MSL Trust & Safety (PhD) Responsibilities:
  • AI model’s defensive cyber capabilities: Leveraging frontier AI models (LLMs, agents) for automation.
  • AI for Cyber: Leveraging frontier AI models and agents to improve cyber capabilities, such as vulnerability detection and patching.
  • Evaluation: Develop systematic methodologies to probe frontier models’ cyber capabilities.

Minimum Qualifications:
  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Machine Learning, Statistics, or a related technical field
  • Strong publication record in one or more of: AI safety, ML security, NLP, cybersecurity (top venues: NeurIPS, ICML, ICLR, ACL, EMNLP, IEEE S&P, USENIX Security, CCS, NDSS)
  • Experience working with large language models (training, fine-tuning, or evaluation)
  • Experience in cybersecurity, AI safety, trust & safety, integrity, red-teaming, or responsible AI
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with large language models, multimodal models, or agentic systems
  • Experience with deep learning frameworks such as PyTorch
  • Demonstrated ability to work independently and to drive a research project from concept to results
  • Intent to return to a degree program after completion of the internship

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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