
Computer Science Expert Wanted
2 days ago
About our organization, a leading data engineering company:
We serve thousands of customers worldwide and are the AI solutions provider-of-choice for top-tier organizations.
Our global workforce combines advanced technologies with subject matter expertise to unlock AI potential.
We're seeking analytical experts to support AI training and model evaluation initiatives.
You'll contribute to developing and improving AI systems by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.
Key Responsibilities:
- Create high-quality scientific content and datasets to train or evaluate AI systems.
- Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
- Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.
- Support the development of guidelines for scientific content generation and annotation.
- Collaborate with internal teams to ensure accuracy and consistency across projects.
- Conduct domain-specific research and synthesize findings to guide model improvements.
- Identify and resolve issues related to ambiguity, bias, or misrepresentation in scientific content.
Required Skills and Qualifications:
- PhD in Computer Science.
- Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
- Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
- Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.
- Excellent writing, editing, and communication skills.
- (Preferred) Experience with AI/ML concepts, data annotation, programming, or computational modeling.
Benefits:
- Promote interdisciplinary collaboration.
- Enhance your analytical skills.
- Develop AI solutions that drive business value.
Join Our Team:
- Experience working with large datasets or scientific databases.
- Knowledge of machine learning pipelines, NLP, or LLMs.
- Previous experience in technical consulting.
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