Fundamental Research Labs
Artificial Intelligence • SaaS • Productivity
Fundamental Research Labs is a research-driven company building digital human beings — autonomous, collaborative, and socially intelligent AI agents. The team of researchers and computational neuroscientists (with backgrounds from MIT, Stanford NLP, Google X, Citadel) focuses on agentic reasoning and multi-agent systems and applies that research to practical products. Their first product, Shortcut, is an AI-powered spreadsheet analyst that turns raw data into models, answers complex spreadsheet questions, and runs parallel simulations with traceability, targeting improved human-AI collaboration in real-world domains.
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
Lead Spreadsheet Quality Analyst
Job not on LinkedIn
October 22
Fundamental Research Labs
Artificial Intelligence • SaaS • Productivity
Fundamental Research Labs is a research-driven company building digital human beings — autonomous, collaborative, and socially intelligent AI agents. The team of researchers and computational neuroscientists (with backgrounds from MIT, Stanford NLP, Google X, Citadel) focuses on agentic reasoning and multi-agent systems and applies that research to practical products. Their first product, Shortcut, is an AI-powered spreadsheet analyst that turns raw data into models, answers complex spreadsheet questions, and runs parallel simulations with traceability, targeting improved human-AI collaboration in real-world domains.
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
⚡ Productivity
📋 Description
• Review, approve, or reject annotated spreadsheet tasks for programmatic verification (PV) compliance • Provide detailed, actionable feedback to Level 1 annotators and help them improve their accuracy and speed • Define, refine, and document quality control guidelines and edge-case examples • Audit datasets for internal consistency and escalate structural or tooling issues to the product and research teams • Maintain weekly throughput and quality targets while ensuring annotation teams meet benchmark standards
🎯 Requirements
• 3+ years in QA, data operations, analytics, or data labeling • Expert Excel user with formula auditing and debugging experience • Familiar with quality frameworks or annotation pipelines • Comfortable writing clear feedback and coaching others
🏖️ Benefits
• bonuses based on high quality task completion
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