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Intern Ai Model Training Jobs (NOW HIRING)

$32 - $40/hr

Strong foundational knowledge in generative AI model development, architectures, and vector ... intern Employment Type: OTHER

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 ...

AI - Intern

Exton, PA · On-site

$14.50 - $19.25/hr

AI Intern Location: Exton, PA Reports to : Sr. AI Specialist Full-time/Temporary position - 40 ... Evaluate various general and specialised AI models to propose the best AI models for life science ...

Workato AI Lab About Workato AI Lab Workato AI Lab is at the forefront of enterprise AI innovation ... models * High-Performance LLM Inference : Optimize inference pipelines through systems-level ...

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 ...

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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:
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.

Strategic Project Lead (AI Model Training)

GLG

San Francisco, CA

Other

Posted 7 days ago


Job description

We are seeking a Strategic Project Lead (SPL)to manage and deliver human data programs within a fast-growing new business unit within GLG.  You will play a key role in providing elite domain expertise to frontier AI labs and enterprises.  You will own end-to-end delivery, from scoping projects alongside AI researchers through coordinating experts and overseeing dataset curation and quality control.  In this role, you will also contribute to the continuous improvement of delivery operations of a rapidly scaling business.  

Human data at GLG is unique.  As the world's leading platform for trusted human expertise, we bring nearly 30 years of experience connecting clients with hard-to-access domain experts to solve their most complex challenges.  SPLs benefit from the resources and recognition of GLG's longstanding brand and market leadership while operating in a fast-paced, start-up-like environment within the human data business unit.   

Key Responsibilities 

  • Scope client requests into structured projects.  Work with AI researchers, human data operators, and other key client stakeholders to translate open-ended aims into clear objectives and projects (e.g., task types, data format, volume, timeline, quality criteria). 
  • Own end-to-end delivery.  Manage daily operations, monitor task execution, oversee expert training and onboarding, provide ongoing logistics support, and ensure data quality. 
  • Serve as the client's primary point of contact.  From scoping to delivery, you will own the client relationship, regularly report on progress, and adjust project scope and trajectory based on client input.   
  • Shape the business unit's delivery model.  You will play a lead role in refining GLG's human data operating playbooks, templates, and methodologies, and drive impact on the business beyond your own projects. 

Qualifications 

Required: 

  • 2-3 years in management consulting (MBB or comparable), investment banking, private equity, or a similarly rigorous structured-problem-solving environment, OR founder/operator experience building something from an ambiguous starting point, OR 1-2 years in a Strategic Project Lead role managing human data projects 
  • Demonstrated ability to structure a vague, open-ended problem into a clear plan of action, independently 
  • Experience owning workstreams and/or projects end-to-end, and coordinating multiple stakeholder groups toward shared deliverables under tight timelines 
  • Strong attention to detail, impeccable quality standards, and driven by results 
  • Superior written and verbal communication skills 
  • Thrives in ambiguous, fast-paced environments  

Strongly preferred: 

  • Current or recent experience as a Strategic Project Lead, Project Lead, or similar client-delivery role at an AI training/human-data company 
  • Exposure to AI/ML concepts sufficient to be conversant in evaluation, preference data, fine-tuning, and rubric design