Computer Science Subject Matter Expert (AI Training)

Weekday AI

1d•$20 - $40•Remote

About The Position

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

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.

Nice To Haves

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.

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.
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.
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.
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.