Computer Science Specialist (AI Training & Evaluation)
About the Role
A high-impact AI initiative is seeking experienced computer science professionals to contribute specialized knowledge toward the development and improvement of advanced AI systems. This opportunity focuses on applying real-world technical expertise to support model training, evaluation, and performance enhancement.
This opportunity is ideal for individuals with strong foundations in computer science who enjoy analyzing complex technical concepts, producing high-quality documentation, and providing structured feedback. Candidates with expertise in areas such as algorithms, distributed systems, databases, networking, or artificial intelligence are particularly well suited.
The work involves evaluating technical content, developing realistic computer science scenarios, reviewing technical materials, and contributing expert insights that improve AI reasoning and accuracy. Success in this environment requires analytical thinking, technical precision, and clear communication.
What You'll Do
- Analyze computer science problems, solutions, and methodologies to support AI training workflows
- Author, review, and refine technical documentation, research summaries, and system design materials
- Develop real-world technical scenarios, datasets, and case studies for model learning applications
- Evaluate technical questions and produce accurate, structured responses based on established principles and best practices
- Review technical content for accuracy, clarity, consistency, and completeness
- Provide detailed written feedback to improve AI model performance and reliability
- Collaborate with project stakeholders to refine task guidelines and maintain data quality standards
- Assess AI-generated outputs and identify opportunities for improvement
- Support ongoing evaluation initiatives through domain expertise and critical analysis
Requirements
- Bachelor’s degree, Master’s degree, or PhD in Computer Science or a closely related field
- Strong knowledge of computer science fundamentals and applied technologies
- Demonstrated expertise in one or more areas such as algorithms, distributed systems, databases, networking, artificial intelligence, or system design
- Experience writing, reviewing, or contributing to technical papers, research publications, or system documentation
- Excellent technical writing and communication skills
- Ability to explain complex concepts clearly to different audiences
- Strong analytical thinking and problem-solving capabilities
- Experience performing technical reviews, evaluations, or collaborative research activities
- Ability to provide constructive, detailed feedback within structured project environments
- Strong attention to detail and commitment to high-quality deliverables
- Comfort working independently in a remote setting
- Adaptability and ability to follow evolving project guidelines
- Experience with AI-related workflows, data annotation, model evaluation, or tools such as ChatGPT is preferred
- Open-source contributions or participation in technical communities is preferred