Computer Science Subject Matter Expert (AI Training)

Weekday 1; United States; Remote; USD 28,000 - 55,000; Part time

Job summary

Weekday 1 is seeking a Computer Science Subject Matter Expert to contribute to the development of AI systems by applying deep CS expertise to real-world challenges. You will analyze, evaluate, and create high-quality technical content that enhances AI model reasoning, accuracy, and performance.

The role emphasizes strong CS fundamentals and remote collaboration to deliver structured explanations, design documents, and datasets for AI training and evaluation.

Qualifications

• Bachelor's, Master's or PhD in Computer Science or a related field.
• Strong understanding of core CS 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.

Responsibilities

• 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.

Skills

Computer Science

Algorithms & Data Structures

System Design

Technical Documentation

Problem Solving

Education

Bachelor's, Master's, or PhD in Computer Science or related field

Job description

Requirements

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.

Key Responsibilities

• 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.

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