Computer Science Subject Matter Expert (AI Training)

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.

• 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.

• 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.

• 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.

• Computer Science
• Algorithms & Data Structures
• System Design
• Technical Documentation
• Problem Solving

• Distributed Systems
• Databases
• Networking
• Artificial Intelligence
• Research & Publications
• Open Source Contributions
• Software Engineering
• Technical Reviews