AI Trainer – Computer Science Expert - Graphical Abstract; Fully Remote
Listing for:
prolificacademicltd
Remote/Work from Home
position
Listed on 2026-11-15
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
Role overview
A human data platform is recruiting computer science specialists to evaluate AI-generated graphical abstracts derived from academic papers. The work supports a project that verifies whether machine-generated visual summaries faithfully represent the underlying research. This is a flexible, ad hoc, fully remote engagement where expert judgement shapes how AI summarises complex technical literature.
Responsibilities- Review computer science research papers alongside graphical abstracts produced by a large language model.
- Compare each abstract against the source paper to confirm it captures the correct methods, findings, and concepts.
- Identify factual errors, missing information, or misrepresentations in either the visual layout or the accompanying text.
- Apply subject-matter knowledge to judge the structural integrity of each abstract, including how ideas are sequenced and grouped.
- Flag cases where technical terminology is used loosely, imprecisely, or in a way that could mislead readers.
- Provide written feedback or ratings that can be used to refine AI output quality.
- A Master's or PhD in Computer Science, or a closely related discipline.
- Demonstrated familiarity with reading and interpreting peer-reviewed computer science literature.
- Experience with fact-checking, technical review, or other analytical evaluation work.
- Strong attention to detail and the ability to spot subtle inaccuracies in dense material.
- Comfort working independently and asynchronously in a remote setting.
- Reliable internet access and the ability to complete assessments within given time frames.
- Prior experience evaluating or annotating outputs for AI training or fine-tuning projects.
- A background in scientific publishing, peer review, or journal editing.
- Fully remote, with flexible scheduling suited to ad hoc availability.
- Competitive per-task or hourly pay rates.
- Onboarding via a short assessment that can typically be completed in around 15 minutes for successful applicants.
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