Computer Scientist for AI Training

Role Overview

Apply computer science expertise to help train and evaluate next-generation AI systems through rigorous, real-world technical input. You will analyze problems and methodologies, develop high-quality learning materials, and provide feedback that improves model reasoning, accuracy, relevance, and robustness. Prior AI experience is not required.

Key Responsibilities

• Analyze and evaluate computer science problems, solutions, and applied methodologies for AI training.
• Write, critique, and edit system design documents, research write-ups, technical papers, and other technical documentation for clarity and rigor.
• Create and review real-world computer science scenarios, datasets, and case studies for AI learning workflows.
• Assess technical questions and deliver detailed, well-structured responses grounded in foundational concepts and current best practices.
• Collaborate with project coordinators to refine task guidelines and improve data quality.
• Provide clear written and verbal feedback to improve AI model performance.
• Support the evaluation and continuous improvement of AI-driven tools through constructive analysis and domain expertise.

Qualifications

• BSc, MSc, or PhD in Computer Science or a closely related discipline.
• Experience writing technical papers, system design documents, or research publications.
• Expertise in one or more areas such as algorithms, distributed systems, networking, databases, or artificial intelligence.
• Strong technical writing, technical communication, data analysis, problem-solving, critical-thinking, editing, and reviewing skills.
• Ability to explain complex concepts clearly for varied audiences and applications.
• Experience with collaborative research, technical reviews, or open-source contributions.
• Adaptability and commitment to producing insightful, high-quality work within project guidelines.

Work Terms

• Remote contract engagement.

Compensation

• $20 to $40 per hour.