Computer Science Subject Matter Expert (AI Training)

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.
• Author, review, and refine technical documentation, including system design documents, research papers, technical specifications, and architecture write-ups.
• Create 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.
• Collaborate 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.
• Work independently and deliver high-quality work in a remote environment.

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.