Remus C.

Key Skills

Software

Other

Top Subject Matter

STEM/Scientific content (Chemistry-focused)

Chemistry research (organic synthesis, catalysis)

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Data Collection

Freelancer Overview

Information Analyst (AI output evaluation and scientific literature indexing/abstracting) at Innodata Knowledge Services. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science in Chemistry, Mindanao State University - Iligan Institute of Technology and Master of Science in Chemistry, Mindanao State University - Iligan Institute of Technology. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Ratin

Labeling Experience

Information Analyst (AI output evaluation and scientific literature indexing/abstracting) at Innodata Knowledge Services, Inc.

Text

Evaluated AI-generated text outputs for accuracy, quality, and compliance using client rubrics while maintaining performance and productivity benchmarks. Indexed and abstracted peer-reviewed scientific literature to ensure correct domain terminology usage in downstream materials. Worked with quality analysts and content specialists to refine evaluation standards and improve overall assessment consistency. • Assessed AI responses against rubric criteria for technical correctness and quality • Performed literature indexing/abstracting with STEM terminology constraints • Participated in cross-functional calibration to refine evaluation guidelines • Monitored throughput and accuracy to meet service benchmarks

2025 - Present

Research Intern at National Sun-Yat-Sen University (experimental evidence documentation)

OtherTextData Collection

Contributed to research activities involving experimental results generation and subsequent documentation for communication with technical teams. While not a direct labeling role, the work required preparing structured scientific records and communicating findings clearly. This supported AI/data-driven research contexts through rigorous, reproducible reporting of experimental outputs. • Conducted laboratory experiments relevant to organic synthesis and catalysis • Produced technical reporting and communicated findings to international teams • Utilized GC-MS and NMR methods to generate structured experimental evidence • Prepared research outputs with attention to methodological rigor and clarity

2023 - 2024

Education

Work History