At a Glance
- Tasks: Evaluate AI-generated summaries and ensure scientific accuracy in computer science.
- Company: Join a forward-thinking team dedicated to advancing AI technology.
- Benefits: Fully remote work, flexible hours, and the chance to shape AI's future.
- Other info: Perfect for tech-savvy individuals looking to influence AI development.
- Why this job: Make a real impact on AI by ensuring it understands complex research accurately.
- Qualifications: Master’s or PhD in Computer Science with strong fact-checking skills.
The predicted salary is between 63000 - 77000 $ per year.
AI Trainer – GDM Graphical Abstract – Computer Science (Fully Remote)
About the role
We are seeking Computer Science domain experts to act as evaluators for a high‑level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy. This is a flexible, ad‑hoc project where your technical expertise directly influences how AI understands and summarizes complex computer science research.
Responsibilities
- Review Computer Science scientific papers alongside LLM-generated graphical abstracts.
- Identify issues and inaccuracies where the graphical abstract does not faithfully represent the source paper.
- Use domain knowledge to ensure that technical concepts are visually and textually summarized correctly.
Requirements
- Hold a master’s or PhD in Computer Science.
- Specialized knowledge in STEM/Computer Science fields.
- Experience with fact‑checking tasks and a high level of basic cognitive competency.
Bonus Points
- Previous experience with AI‑related training or evaluation tasks.
- Background in scientific publishing or peer review.
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AI Trainer – Computer Science Expert employer: Prolific
Join a forward-thinking company that values your expertise and offers a fully remote work environment, allowing you to balance your professional and personal life seamlessly. With a strong commitment to employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of AI. Our collaborative culture encourages innovation and ensures that your contributions directly impact the integrity of AI-generated content in the computer science domain.
