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Remote Masters Computer Science Jobs in New York, NY

Mercor

AI Research Scientist - PhD

New York, NY · On-site +1

$66 - $84/hr

Applied Computer Science Benchmark Specialist Type: Contract Compensation: $66-$84/hour Location: Remote Commitment: 10+ hours/week Role Responsibilities * Author original computer science questions ...

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Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Bachelor in Statistics, Mathematics, Computer Science, or related field; graduate degree in Data ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

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Remote Masters Computer Science information

What is a remote masters in computer science?

A Remote Masters in Computer Science is a graduate-level degree program that is completed entirely online, allowing students to study from anywhere without needing to attend classes on campus. These programs typically cover advanced topics in computer science such as algorithms, artificial intelligence, machine learning, cybersecurity, and software engineering. Students interact with professors and peers through virtual classrooms, discussion forums, and online assignments. Many remote programs offer flexible schedules, making them ideal for working professionals or those with other commitments. Graduates of remote masters programs receive the same degree as their on-campus counterparts and can pursue careers in academia, research, or the tech industry.

What are the key skills and qualifications needed to thrive as a remote masters in computer science graduate?

To thrive as a Remote Masters in Computer Science graduate, you need advanced knowledge in algorithms, data structures, programming languages, and a relevant master's degree. Familiarity with software development tools, cloud platforms, version control systems, and certifications in areas like AWS or machine learning are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set exceptional candidates apart. These competencies are crucial for tackling complex technical challenges and collaborating efficiently in distributed teams.

What are some common challenges faced by students in a remote masters in computer science program, and how can they be overcome?

Students pursuing a remote Master's in Computer Science often face challenges such as staying motivated without in-person interaction, managing time effectively, and collaborating with peers on group projects. To overcome these, it's important to establish a structured daily routine, actively participate in virtual study groups, and utilize online collaboration tools like GitHub or Slack. Many programs also offer virtual office hours and mentoring, so taking advantage of these resources can greatly enhance your learning experience and help you stay connected with both faculty and classmates.

What are the most commonly searched types of Masters Computer Science jobs in New York, NY?

The most popular types of Masters Computer Science jobs in New York, NY are:

What are popular job titles related to Remote Masters Computer Science jobs in New York, NY?

For Remote Masters Computer Science jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Remote Masters Computer Science jobs in New York, NY look for?

The top searched job categories for Remote Masters Computer Science jobs in New York, NY are:

What cities near New York, NY are hiring for Remote Masters Computer Science jobs?

Cities near New York, NY with the most Remote Masters Computer Science job openings:

Remote Masters Computer Science jobs near you
Infographic showing various Remote Masters Computer Science job openings in New York, NY as of August 2026, with employment types broken down into 72% Full Time, 23% Part Time, and 5% Contract. Highlights an 5% In-person, and 95% Remote job distribution.

Computer Science Expert - Fully Remote | Upto $84/hr

New York, NY • Remote

Mercor
See more jobs at Mercorexternal

$84/hr

Full-time

Posted 2 days ago

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Computer Science Benchmark Specialist
Type: Contract
Compensation: $66–$84/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original computer science questions to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as Medium, Hard, or Expert. Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
  • Write step-by-step Chain-of-Thought solutions in markdown format. Supply 1–5 academic references per question from reputable sources.
  • For verification tasks, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made.
  • Work independently and asynchronously to meet deadlines while advancing AI capabilities.

Qualifications

Must-Have

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
  • Strong command of graduate-level CS theory, algorithms, systems design, and/or machine learning.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Research publications, industry experience at top tech companies, or competitive programming background.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.