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Computer Science Intern Remote Jobs in Connecticut

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Master's degree in Computer Science or a quantitative field plus 2 years of relevant industry ...

Data Scientist

Hartford, CT ยท On-site +1

$90.16K - $135.24K/yr

This role can have a Hybrid or Remote work arrangement depending on experience and skillset ... Master's in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or ...

Remote, United States Date Posted: Apr 22, 2026 Employment Type: Full Time Job ID: R-1915 About Us ... degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or ...

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Computer Science Intern Remote information

What are the key skills and qualifications needed to thrive as a Computer Science Intern (Remote), and why are they important?

To thrive as a Computer Science Intern (Remote), you generally need a solid foundation in programming languages (such as Python, Java, or C++), data structures, and algorithms, supported by progress toward a relevant degree. Familiarity with version control systems like Git, collaboration tools such as Slack or Zoom, and experience with integrated development environments (IDEs) are typically expected. Strong problem-solving abilities, self-motivation, and clear written communication are standout soft skills for remote work. These skills and qualities are crucial for contributing effectively to projects, collaborating with distributed teams, and adapting to the dynamic requirements of remote internships.

How do computer science interns working remotely typically collaborate with their team and receive mentorship?

Remote computer science interns often use collaboration tools such as Slack, Microsoft Teams, or Zoom to communicate with their teammates and supervisors. Regular check-ins, virtual stand-up meetings, and code reviews are common practices to ensure alignment and support. Mentorship is usually provided through scheduled one-on-one video calls and shared project management platforms, which help interns receive feedback and guidance. Clear documentation and open channels for questions also play a key role in helping interns learn and succeed while working remotely.

What does a Computer Science Intern do in a remote position?

A Computer Science Intern working remotely assists with software development, debugging, testing, and other technical tasks under the guidance of experienced engineers. Responsibilities may include writing code, collaborating on projects using tools like Git, and participating in virtual meetings to discuss project goals. Remote interns often communicate through email, chat, and video calls, allowing them to contribute to real-world projects from any location. The role helps students and recent graduates gain practical industry experience and build their professional network.

What is the difference between Computer Science Intern Remote vs Software Developer Intern Remote?

AspectComputer Science Intern RemoteSoftware Developer Intern Remote
Required CredentialsTypically pursuing a computer science degree or related fieldSimilar; often pursuing a computer science or software engineering degree
Work EnvironmentRemote, often part-time or summer internshipRemote, often part-time or summer internship
Employer & Industry UsageTech companies, startups, research labsTech companies, software firms, startups
Comparison Search IntentUnderstanding internship roles in computer scienceLooking for software development internship opportunities

Both roles are remote internships aimed at students in computer science or related fields. The main difference lies in the job titles; 'Computer Science Intern Remote' is broader, focusing on foundational computer science skills, while 'Software Developer Intern Remote' emphasizes software development tasks. Candidates should review specific job descriptions to understand the focus areas and responsibilities.

What are the most commonly searched types of Computer Science Remote jobs in Connecticut? The most popular types of Computer Science Remote jobs in Connecticut are:
What cities in Connecticut are hiring for Computer Science Intern Remote jobs? Cities in Connecticut with the most Computer Science Intern Remote job openings:
Political Scientist - AI Trainer

Political Scientist - AI Trainer

DataAnnotation

Hartford, CT โ€ข On-site, Remote

$60/hr

Full-time

Posted 22 days ago


Job description

Join the DataAnnotation team and contribute to developing cuttingโ€edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning โ€” but these systems still need practitioners with realโ€world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with stateโ€ofโ€theโ€art AI models on tasks like evaluating AIโ€generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a fullโ€time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AIโ€generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and dataโ€driven insights, for technical accuracy and realโ€world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and wellโ€documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of handsโ€on experience in a quantitative role or research environment โ€” such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code endโ€toโ€end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, timeโ€series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr