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Intern Ai Model Training Jobs (NOW HIRING)

$14 - $18.50/hr

AI Operations Intern Location: Remote Type: Freelance / Contract-Based Hours: Part-time / ... Basic understanding of AI/ML workflows, including data preprocessing, model training, and ...

AI Model Lead

Austin, TX

$210K - $235K/yr

The AI Model Lead is the senior technical owner responsible for architecting and delivering ... Lead development, training, and optimization of advanced models using stateoftheart deep learning ...

IT Intern - AI & Automation

Atlanta, GA ยท On-site

$14.25 - $19/hr

... work model. Apply today to learn more about how you can excel in a career with Bennett Thrasher ... The AI & Automation Intern will support internal AI pilot programs and automation initiatives by ...

Research Intern - AI Systems and Tools

Redmond, WA ยท On-site

$8.76K - $14.36K/mo

... out model training and inference. The team operates at the intersection of AI algorithmic ... As a Research Intern on this team, you will have the opportunity to work on multiple levels of the ...

Intern, AI Adoption

Reston, VA ยท On-site

$25 - $27/hr

POSITION SUMMARY Sony Corporation of America (SCA) is seeking a full-time AI Adoption intern for ... Academic or professional experience identifying skills, identifying training and skills required ...

AI Model Lead

Austin, TX ยท On-site

$210K - $235K/yr

The AI Model Lead is the senior technical owner responsible for architecting and delivering ... Lead development, training, and optimization of advanced models using state-of-the-art deep ...

Support data ingestion, processing, and retrieval mechanisms to enable efficient AI model training and inference. Work closely with domain experts to ensure compliance with healthcare regulations and ...

AI IT Operations Intern

Cheyenne, WY ยท Remote

$15 - $20/hr

IT Internship: AI IT Operations Intern AI IT Operations Intern Fully Remote 6-Month Career Builder ... We offer hands-on training with the newest AI tools and platforms, plus access to top courses from ...

AI Agent Data Pipeline Intern Santa Clara, CA XPENG is a leading smart technology company at the ... Familiarity with machine learning workflows, model training, evaluation metrics, or MLOps concepts.

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Intern Ai Model Training information

What are the key skills and qualifications needed to thrive as an Intern in AI Model Training, and why are they important?

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 types of tasks can I expect to work on as an AI Model Training Intern?

As an AI Model Training Intern, you'll typically assist with preparing datasets, labeling data, running model training experiments, and evaluating model performance. You may also help troubleshoot issues with training scripts and collaborate closely with data scientists and engineers to implement improvements. This hands-on experience will give you valuable insight into the end-to-end process of building and refining machine learning models, while also enhancing your technical and teamwork skills.

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 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.

More about Intern Ai Model Training jobs
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 May 2026, with employment types broken down into 73% Full Time, 18% Part Time, and 9% Contract. Highlights an 67% Physical, and 33% Remote job distribution.
Machine Learning Audio Intern

Machine Learning Audio Intern

Syntiant

Redwood City, CA โ€ข On-site

Temporary

Posted 27 days ago


Job description

Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Machine Learning Audio Intern to take on a critical role to enhance our AI Model for Turkey Gobble Synthesis.
Syntiant Corp. is seeking a turkey gobble detector AED model that runs on NDP chips. It is difficult to collect good quality gobble data due to several logistical issues. As of now, only ~2K samples are available for training such a model. These samples are not enough to train a production quality turkey gobble model.
EcoGen is a neural network model that could generate synthetic but real-sounding bird sounds. It needs only a handful of recordings to synthesize similar sounds. The idea is to leverage this model to get more data for training a better turkey gobble detector AEDmodel. For details on EcoGen, please refer to the hyperlink provided. There are newer models such as BirdDiff, Audio LDM (Text-to-Turkey), Perch 2.0 etc.
Requirements
Specific Duties and Responsibilities:
  • Understanding the model architecture.
  • Running it locally or on the cluster.
  • Fine-tuning the model on the available turkey sounds.
  • Synthesizing real-sounding artificial turkey gobble sounds.
  • Explore better alternatives and pursue them.

Qualifications, Education, and Experience Required:
  • Candidate pursuing a Bachelor's or Master's degree in Computer Science or related field with hands-on experience in AI/ML model training.
  • Industry work experience is not required, but it would be good to have.

Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.