Remote job
AI Trainer – Computer Science Expert - Graphical Abstract - Fully Remote - (San Fran)
Job details
About this role
Role overview
A fully remote contract role invites computer science specialists to evaluate graphical abstracts produced by large language models for a scientific accuracy project. Reviewers compare AI-generated summaries against the original research papers, judging how faithfully they reflect complex technical content. The engagement is ad hoc with flexible scheduling, making it well suited to researchers who want variable, remote work.
Responsibilities
- Examine published computer science research and compare it with corresponding LLM-generated graphical abstracts - Spot inaccuracies in how methods, results, or terminology are represented in the AI output - Judge the structural integrity and visual clarity of each abstract against the paper's content - Document specific issues and provide constructive written feedback - Complete assigned evaluation tasks independently within agreed timeframes
Requirements
- Master's or PhD in Computer Science or an adjacent STEM field - Proven capacity to read and critique dense technical papers - Solid analytical skills and a methodical fact-checking approach - Consistent attention to detail across varied subject matter - Self-directed and comfortable working fully remote
Nice to have
- Previous involvement in AI training, data annotation, or model evaluation projects - Experience in peer review, academic publishing, or scientific editing
Benefits and work setup
- Fully remote, work-from-home arrangement (San Francisco applicants welcome) - Ad hoc scheduling with flexible hours - Competitive pay rates per completed task - Streamlined onboarding after a short qualifying assessment