Computer Scientist for AI Model Training

Amazon.com, Inc.
Seattle, WA, United States
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$41,600.0 - $83,200.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Databases Distributed Systems Machine Learning Information Technology

Job description

As a Computer Science Specialist, you will leverage your advanced expertise to support projects that train next-generation AI systems. Your contributions will directly influence how models learn, reason, and perform by providing high-quality, real-world input. This role is ideal for those with strong domain knowledge, as no prior experience in AI is required. Key Responsibilities

  • Analyze and evaluate computer science problems, solutions, and methodologies to inform AI system training.
  • Author, critique, or edit technical documentation, including system design documents and research papers, ensuring clarity and rigor.
  • Develop and review real-world computer science scenarios, datasets, and case studies for AI learning workflows.
  • Assess technical queries and propose detailed, well-structured responses based on best practices and foundational concepts.
  • Collaborate with project coordinators to refine task guidelines and optimize data quality.
  • Provide insightful written and verbal feedback to enhance model accuracy, relevance, and robustness.
  • Support the evaluation and continuous improvement of AI-driven tools through constructive analysis and domain expertise.

Requirements

  • BSc, MSc, or PhD in Computer Science or a closely related discipline.
  • Experience in authoring technical papers, system design documents, or research publications.
  • Demonstrated expertise in specialized domains such as algorithms, distributed systems, networking, databases, or artificial intelligence.
  • Exceptional written and verbal communication skills, with a passion for precise and effective expression.
  • Proven ability to simplify complex concepts for diverse audiences and applications.
  • Track record of participation in collaborative research, technical reviews, or open-source contributions.
  • Adaptability and commitment to delivering high-quality contributions within project guidelines.

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