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Remote Computer Science Graduate Jobs in Baltimore, MD

DataAnnotation

Economist - AI Trainer

Annapolis, MD · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

DataAnnotation

Math Tutor

Annapolis, MD · Remote

$40/hr

Applied Mathematics and/or Computer Science. Benefits Full-time or part-time REMOTE position Choose which projects you want to work on Work on your own schedule Projects are paid hourly starting at ...

Full Scope

Python Programmer

Columbia, MD · Remote

... a remote environment. Responsibilities: * Collaborate with cross-functional teams to design ... Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work ...

DataAnnotation

Physicist - AI Trainer

Annapolis, MD · On-site +1

$40/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics ...

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Remote Computer Science Graduate information

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

To thrive as a Remote Computer Science Graduate, a strong foundation in programming languages (such as Python, Java, or C++), algorithms, data structures, and a relevant computer science degree are essential. Familiarity with version control systems like Git, cloud platforms, and common development tools is typically required. Strong communication, time management, and self-motivation are crucial soft skills for collaborating effectively and staying productive in a remote environment. These skills and qualities enable graduates to successfully contribute to distributed teams, solve complex problems, and adapt to the dynamic demands of remote tech roles.

How do remote computer science graduates typically collaborate with team members and stay engaged while working from home?

Remote computer science graduates often use a range of digital tools like Slack, Zoom, and GitHub to stay connected with their teams, participate in code reviews, and attend virtual meetings. Regular check-ins and agile stand-ups help maintain communication and ensure everyone is aligned on project goals. Many companies also encourage open channels for questions and knowledge sharing, which helps new graduates feel supported and integrated. Staying proactive in communication and seeking mentorship opportunities can further enhance engagement and career growth when working remotely.

What are remote computer science graduates?

Remote computer science graduates are individuals who have completed a degree in computer science and work in jobs that allow them to perform their duties from locations outside of a traditional office, often from home. These graduates leverage their programming, problem-solving, and analytical skills to contribute to software development, data analysis, IT support, and other technical roles remotely. The demand for remote computer science professionals has grown due to advancements in technology and the increasing acceptance of remote work by employers. Remote roles can offer greater flexibility and access to global job opportunities.

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

AspectRemote Computer Science GraduateRemote Software Developer
Required CredentialsBachelor's in Computer Science or related fieldProven coding skills, often with a degree or equivalent experience
Work EnvironmentEntry-level, project-based, often internships or apprenticeshipsFull-time, collaborative coding environment, often with team tools
Employer & Industry UsageTech companies, startups, research labsSoftware firms, tech companies, SaaS providers
Search & Comparison IntentEntry-level roles, internships, career startersDevelopment roles, coding projects, software engineering

The main difference is that a Remote Computer Science Graduate is typically an entry-level candidate with a degree seeking initial roles, while a Remote Software Developer is a more experienced professional actively coding and developing software. Both roles often overlap in skills and work environment, but the Software Developer role usually requires proven coding experience beyond the degree.

What are popular job titles related to Remote Computer Science Graduate jobs in Baltimore, MD? For Remote Computer Science Graduate jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Graduate jobs in Baltimore, MD look for? The top searched job categories for Remote Computer Science Graduate jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Computer Science Graduate jobs? Cities near Baltimore, MD with the most Remote Computer Science Graduate job openings:
Remote Computer Science Graduate jobs near you
Statistical Analyst - AI Trainer

Statistical Analyst - AI Trainer

DataAnnotation

Annapolis, MD • On-site, Remote

$60/hr

Full-time

Posted 17 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting‐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 — but these systems still need practitioners with real‐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 state‐of‐the‐art AI models on tasks like evaluating AI‐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 full‐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 AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐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 well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — 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 end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐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

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