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Remote Fashion Computer Science Jobs in Newark, NJ

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 ...

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.

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a ...

Learner Education

Online Science Tutor

Manhattan, NY · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

Learner Education

Online Science Tutor

New York, NY · Remote

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Broader weekday and weekend availability is a plus Fast and reliable internet connection Computer ...

Learner Education

Online Science Tutor

Manhattan, NY · On-site +1

$25/hr

Remote Hours: Set Your Own Schedule Pay: $25.00/hr About Learner Education Learner Education is on ... Computer or laptop with microphone and camera. A stylus pen is highly recommended for clear ...

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All JobsFashion Computer Science JobsRemote Fashion Computer Science JobsRemote Fashion Computer Science Jobs in Newark, NJ

Remote Fashion Computer Science information

See Newark, NJ salary details

$87.3K

$132.8K

$178.8K

How much do remote fashion computer science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote fashion computer science in Newark, NJ is $132,840.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a remote fashion computer science job?

A Remote Fashion Computer Science job involves applying computer science principles and technologies to solve problems or create innovations within the fashion industry, all while working remotely. Professionals in this field might work on projects such as developing virtual fitting rooms, fashion recommendation algorithms, e-commerce platforms, or using AI to forecast trends. The remote aspect means they can perform their duties from anywhere with an internet connection, collaborating with fashion brands, retailers, or tech companies. This role requires a blend of technical programming skills and a strong understanding of fashion trends and consumer behavior.

What are the key skills and qualifications needed to thrive in a remote fashion computer science role?

To excel in a remote fashion computer science position, you need a solid background in computer science, data analysis, and an understanding of fashion industry trends, typically supported by a degree in computer science or related field. Experience with programming languages (such as Python or R), data visualization tools, and familiarity with fashion-specific software (like CLO 3D or Browzwear) are often required. Strong communication, creativity, and self-motivation are crucial soft skills for collaborating virtually and innovating within digital fashion projects. These skills ensure you can effectively bridge technology and fashion, driving innovation and efficiency in a remote work environment.

How does a remote fashion computer science professional typically collaborate with design and development teams?

Remote fashion computer science professionals often work closely with designers, product developers, and data analysts through virtual meetings and collaborative software tools. Communication is key, as you'll need to translate technical concepts into actionable insights for creative teams, often using project management platforms and shared digital workspaces. Regular check-ins and clear documentation help bridge the gap between technical and creative functions, ensuring smooth project progress even when working from different locations.

What is the difference between Remote Fashion Computer Science vs Remote Fashion Data Analysis?

AspectRemote Fashion Computer ScienceRemote Fashion Data Analysis
Required CredentialsBachelor's in Computer Science, relevant programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentCollaborative teams, tech-focused environmentData-driven projects, analytical setting
Industry UsageDeveloping fashion tech, software solutionsInterpreting fashion data, trend analysis
Common Search/ComparisonRemote Fashion Computer Science vs Remote Fashion Data Analysis

Remote Fashion Computer Science focuses on software development, programming, and tech solutions within the fashion industry, requiring coding skills and computer science credentials. In contrast, Remote Fashion Data Analysis emphasizes interpreting fashion data, trends, and analytics, often requiring statistical expertise. Both roles are remote, industry-specific, and involve collaboration, but they differ in core skills and daily tasks.

Remote Fashion Computer Science jobs near you

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

New York, NY • Remote

Mercor
See more jobs at Mercorexternal

$84/hr

Full-time

Posted 4 days ago

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.