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Machine Learning Ai Intern Jobs in Alberta (NOW HIRING)

Role: Machine Learning Engineer - Contract Length: 1 year (potential for extension) Location ... AI capabilities. You'll be part of a high-performing, collaborative team focused on building ...

Role: Machine Learning Engineer - Contract Length: 1 year (potential for extension) Location ... AI capabilities. You'll be part of a high-performing, collaborative team focused on building ...

Strong enterprise project experience with Machine Learning and AI * Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python * Good experience with ...

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... You'll work on building innovative AI capabilities that help clinicians provide better services and ...

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Machine Learning Ai Intern information

What does a Machine Learning AI Intern do?

A Machine Learning AI Intern assists in developing, testing, and deploying machine learning models and algorithms under the supervision of experienced data scientists or engineers. Typical responsibilities include data preprocessing, feature engineering, model evaluation, and documentation. Interns may also help in researching new AI techniques and supporting the integration of models into existing applications. The role provides hands-on experience with machine learning tools, programming languages like Python, and frameworks such as TensorFlow or PyTorch. This internship helps build foundational skills for a career in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Intern, and why are they important?

To thrive as a Machine Learning AI Intern, you need a solid foundation in mathematics, programming (often Python), and machine learning concepts, usually supported by coursework or relevant projects. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Curiosity, problem-solving ability, and strong communication skills help interns collaborate effectively and learn quickly in dynamic environments. These skills are crucial for contributing meaningfully to projects, adapting to new technologies, and growing within the fast-evolving AI field.

What types of projects do Machine Learning AI Interns typically work on during their internship?

As a Machine Learning AI Intern, you can expect to work on real-world projects such as developing predictive models, performing data preprocessing and analysis, or contributing to the improvement of existing algorithms. Interns often assist with tasks like data cleaning, feature engineering, and model evaluation, while collaborating closely with data scientists and engineers. This hands-on experience helps interns build practical skills and gain exposure to the entire machine learning workflow in a professional setting.

What is the difference between Machine Learning Ai Intern vs Data Science Intern?

AspectMachine Learning Ai InternData Science Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of ML conceptsStatistics, programming, data analysis skills, often with similar educational background
Work EnvironmentTech companies, startups, research labs focusing on AI/ML projectsVariety of industries including finance, healthcare, tech, focusing on data analysis
Employer & Industry UsagePrimarily in AI/ML development teams within tech and research sectorsAcross industries for data analysis, reporting, and decision-making support

Machine Learning Ai Interns focus on developing and applying AI and ML models, often working closely with data scientists and engineers. Data Science Interns work on analyzing data, creating reports, and supporting data-driven decisions. While both roles require programming and analytical skills, ML Interns typically specialize in AI algorithms, whereas Data Science Interns focus on broader data analysis tasks.

What cities in Alberta are hiring for Machine Learning Ai Intern jobs? Cities in Alberta with the most Machine Learning Ai Intern job openings:

Machine Learning Experts - PhD - AI Training - Canada

Prolific Academic Ltd

Calgary, AB โ€ข On-site, Remote

CA$150/hr

Full-time

Posted 13 days ago


Job description

Machine Learning Experts - PhD - AI TrainingAbout Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for ML / AI experts to help train and evaluate cutting-edge AI models. For this project we are seeking PhD holders who are comfortable narrating their approach to solving complex problems.

If you have the necessary experience, we'll send you a quick test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert where you'll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $150/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • A PhD (or PhD candidacy) in Machine Learning, Artificial Intelligence or a related discipline
  • Strong subject matter expertise and ability to work through complex, technical problems
  • Experience with or a strong interest in AI and machine learning is a bonus
  • Willingness to narrate your thinking out loud
  • Strong attention to detail
  • Reliable, fast internet connection and access to a computer
  • A PayPal account to receive payments from our clients
What you'll be doing in the role
  • Working through complex problems and tasks while narrating your reasoning process out loud
  • Screen-recording your approach to problems and tasks
  • Reviewing and evaluating AI-generated responses to technical problems, rating them for accuracy, depth, and reasoning quality
  • Comparing multiple model answers and selecting/justifying the best response
  • Writing improved exemplars, rationales, or structured feedback when models fall short
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.
Sign up directly here - https://app.prolific.com/register/participant/waitlist/?campaign_code=CGT9PJQK

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.