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Remote Ai Computer Science Jobs (NOW HIRING)

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Bachelor's degree in Computer Science, Engineering, or a related technical field. * 5+ years of ...

Be Seen First

Reliable internet connection and computer access * Ability to follow written instructions * Previous AI or data-labeling experience is helpful but not required This is flexible, remote, project-based ...

New

Be Seen First

Reliable internet connection and computer access * Ability to follow written instructions * Previous AI or data-labeling experience is helpful but not required This is flexible, remote, project-based ...

New

Be Seen First

Reliable internet connection and computer access * Ability to follow written instructions * Previous AI or data-labeling experience is helpful but not required This is flexible, remote, project-based ...

New

REQUIRED EDUCATION & EXPERIENCE Advanced degree in Computer Science, AI, Machine Learning, Statistics, or related field, or equivalent experience. 12+ years leading applied AI, machine learning, or ...

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

TEXAS The remote High School CTE Teacher in Computer Science is state certified teacher and/or alternatively certified CRE/CTE Teacher responsible for delivering specific course content in an on-line ...

AI CAD Engineer

Emeryville, CA · On-site +1

$210K - $260K/yr

You'll collaborate closely with our AI, Modeling & Simulation, and Design teams to build systems ... Computer Science, or a related field. * For Staff level, 10+ years of industrial experience (post ...

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Remote Ai Computer Science information

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$83.5K

$102.5K

$135.5K

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

As of Jul 17, 2026, the average yearly pay for remote ai computer science in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

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

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
More about Remote Ai Computer Science jobs
What cities are hiring for Remote Ai Computer Science jobs? Cities with the most Remote Ai Computer Science job openings:
What are the most commonly searched types of Ai Computer Science jobs? The most popular types of Ai Computer Science jobs are:
What states have the most Remote Ai Computer Science jobs? States with the most job openings for Remote Ai Computer Science jobs include:

Computer Science Subject Matter Expert (AI Training)

Weekday AI

Remote

Contractor

Posted 14 days ago


Job description

This role is for one of our clients
$20 - $40/hourpay
Role Title: Computer Science Subject Matter Expert (AI Training)
Role Type: Contractor
Location: Remote
We are seeking a Computer Science Subject Matter Expert to contribute to the development of next-generation AI systems by applying deep technical expertise to real-world computer science challenges. In this role, you will analyze, evaluate, and create high-quality technical content that enhances the reasoning, accuracy, and performance of AI models. Prior experience in Artificial Intelligence is not required-your expertise in Computer Science is the primary qualification.
Requirements
Key Responsibilities
Technical Analysis & Problem Solving
  • Analyze and evaluate complex computer science problems, solutions, and methodologies across various domains.
  • Assess technical approaches and recommend well-structured, scalable, and efficient solutions based on industry best practices.
  • Ensure technical accuracy, logical consistency, and clarity in all deliverables.
Content Development & Documentation
  • Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
  • Develop real-world computer science scenarios, datasets, and case studies to support AI model training and evaluation.
  • Create structured technical explanations that improve AI understanding and reasoning.
AI Model Evaluation
  • Review AI-generated responses for technical correctness, completeness, and adherence to computer science principles.
  • Identify inaccuracies, inconsistencies, and opportunities for improvement while providing constructive feedback.
  • Support the evaluation and continuous enhancement of AI-driven tools through domain expertise.
Collaboration & Quality Improvement
  • Work closely with project coordinators and subject matter experts to refine task guidelines and improve data quality.
  • Provide clear written and verbal feedback to enhance AI model relevance, robustness, and performance.
  • Collaborate in a remote environment while maintaining high-quality deliverables and documentation.
Required Skills & Qualifications
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
  • Strong understanding of core computer science concepts, including algorithms, data structures, operating systems, databases, networking, and software engineering.
  • Experience writing technical documentation, research papers, system design documents, or technical reports.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts clearly.
  • Ability to work independently and deliver high-quality work in a remote environment.
Preferred Qualifications
  • Expertise in one or more specialized domains such as:
    • Algorithms & Data Structures
    • Distributed Systems
    • Computer Networks
    • Databases
    • Artificial Intelligence & Machine Learning
    • Cloud Computing
    • Cybersecurity
  • Experience participating in technical reviews, research projects, or open-source contributions.
  • Proven ability to simplify complex technical concepts for both technical and non-technical audiences.
  • Familiarity with current trends and emerging technologies in computer science.
Must-Have Skills
  • Computer Science
  • Algorithms & Data Structures
  • System Design
  • Technical Documentation
  • Problem Solving

Good-to-Have Skills
  • Distributed Systems
  • Databases
  • Networking
  • Artificial Intelligence
  • Research & Publications
  • Open Source Contributions
  • Software Engineering
  • Technical Reviews