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Computer Science Internship At Tech Startup Jobs in Edmonton, AB

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Degree in Computer Science, Computer/Software Engineering, or Electrical Engineering. * 3 to 5 ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Data Scientist

Edmonton, AB ยท On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with ... Previous experience with Machine Learning, Data Science and solving problems at scale Perks:

Diploma or degree in Information Technology, Business Administration, Accounting, Computer Science ... At the heart of our efforts is a collaborative, consultative approach. We are proud of our team of ...

Degree or diploma in IT, Computer Science, or a related field * 7+ years of progressive IT experience with at least 3+ years in a senior leadership or director-level role * Proven experience creating ...

Senior C++ Software Engineer

Edmonton, AB ยท Remote

$120K - $150K/yr

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer ... compression technologies and AI is a plus. * Familiarity related to raster and vector image ...

Senior C++ Software Engineer

Edmonton, AB ยท Remote

$120K - $150K/yr

A degree in Computer Science. Masters is preferred. * Knowledge and or interest in computer ... compression technologies and AI is a plus. * Familiarity related to raster and vector image ...

Compiler Tech Lead

Edmonton, AB ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Compiler Tech Lead

Edmonton, AB ยท On-site

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

C++ Developer

Edmonton, AB ยท On-site +1

You'll be working with cutting edge technology, developing microchips with neural networks. You ... A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points:

C++ Developer

Edmonton, AB ยท On-site +1

You'll be working with cutting edge technology, developing microchips with neural networks. You ... A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points:

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Computer Science Internship At Tech Startup information

What is a computer science internship at a tech startup?

A computer science internship at a tech startup is a temporary, hands-on work experience where students or recent graduates apply their programming, development, and problem-solving skills in a real-world tech environment. Interns typically work on coding projects, assist in software development, and collaborate with experienced engineers. Startups often provide opportunities to work on diverse tasks, learn new technologies quickly, and contribute meaningfully to active products. This experience can help interns build practical skills, expand their professional network, and improve their employability in the tech industry.

What types of projects and responsibilities can I expect during a Computer Science internship at a tech startup?

As a Computer Science intern at a tech startup, you can expect to work on a variety of hands-on projects, such as developing new features, debugging code, or contributing to the deployment of software applications. Startups often have small, agile teams, so interns frequently collaborate closely with software engineers, product managers, and designers, gaining exposure to multiple aspects of the development process. You may also participate in code reviews, team meetings, and brainstorming sessions, which offers a great opportunity to learn from experienced mentors and see how your work impacts the product. The fast-paced, dynamic environment encourages initiative and adaptability, making it a valuable learning experience for those aspiring to build a career in tech.

What is the difference between Computer Science Internship At Tech Startup vs Software Developer Intern?

AspectComputer Science Internship At Tech StartupSoftware Developer Intern
Required CredentialsTypically students or recent graduates with foundational CS knowledgeSimilar, often students or early-career individuals with coding skills
Work EnvironmentFast-paced, innovative startup setting with diverse projectsStartup or corporate environment focusing on software development
Industry UsageCommon in tech startups across various sectorsWidely used in software companies, tech firms, and startups
Search & Comparison IntentPeople exploring internship opportunities in tech startupsIndividuals comparing internship roles in software development

Both roles involve gaining practical experience in coding and software projects within a startup environment. The main difference lies in the job title, with "Computer Science Internship" emphasizing foundational CS skills and academic background, while "Software Developer Intern" focuses more on hands-on software development tasks. Both are valuable for aspiring tech professionals seeking industry experience.

What are the key skills and qualifications needed to thrive as a Computer Science Intern at a tech startup, and why are they important?

To excel as a Computer Science Intern at a tech startup, you need a solid understanding of programming fundamentals, algorithms, and data structures, usually backed by coursework or relevant projects. Familiarity with version control systems like Git, coding languages such as Python or JavaScript, and development tools commonly used in startups is expected. Strong problem-solving skills, adaptability, and effective teamwork make an intern stand out in this fast-paced environment. These abilities ensure you can quickly contribute to projects, collaborate effectively, and adapt to the dynamic needs of a growing company.
What are popular job titles related to Computer Science Internship At Tech Startup jobs in Edmonton, AB? For Computer Science Internship At Tech Startup jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Computer Science Internship At Tech Startup jobs in Edmonton, AB look for? The top searched job categories for Computer Science Internship At Tech Startup jobs in Edmonton, AB are:
Remote Computer Science Expert (PhD)

Remote Computer Science Expert (PhD)

Micro1

Fort Saskatchewan, AB โ€ข Remote

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Computer Science Expert (PhD)
$80 - $90/hourpay
Required Skills
Computer Science
PhD
Python
Data Science
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Computer Science Expert (PhD)


Role Type: Contractor


Location: Remote


micro1 is engaging Computer Science Experts (PhD) to contribute their advanced subject-matter expertise to a customer's AI training initiative. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Produce authoritative, accurate, and well-explained responses to advanced computer science queries aimed at AI model improvement, emphasizing clarity and depth rather than rubric-based scoring.
  2. Review and evaluate computer science data, questions, and solutions to guarantee accuracy, completeness, and current best-practice alignment.
  3. Develop comprehensive explanations and justifications across a wide array of computer science concepts, spanning foundational and specialized areas of the field.
  4. Collaborate with annotation leads and project managers to refine requirements and uphold high standards for response quality.
  5. Create exemplary "golden responses" that set benchmarks for future model outputs, ensuring consistency and reliability in training data.
  6. Document context and rationale behind answers to assist model interpretability and future annotation efforts.
  7. Participate in remote discussions or workshops to clarify objectives and maintain alignment across the contributor community.


Preferred Qualifications

  1. PhD in Computer Science or a closely related field with robust expertise in both foundational and advanced topics.
  2. Proven ability to communicate intricate computer science concepts with precision in both written and verbal forms.
  3. Experience in developing, reviewing, or publishing scientific, technical, or educational computer science materials (such as research articles, curricula, industry reports, or peer reviews).
  4. Familiarity with multiple sub-disciplines within computer science (algorithms and theory, systems, artificial intelligence and machine learning, databases, computer networks, security, etc.) and the ability to adapt explanations for diverse audiences.
  5. Exceptional attention to detail with a commitment to analytical accuracy and methodological rigor.
  6. Experience with AI, data annotation, or digital content development projects is advantageous but not essential.
  7. Strong collaboration skills, particularly in remote or cross-functional environments.