Bin L.

Key Skills

Software

Don't disclose

Top Subject Matter

Oral health/dentist IP

product/content QA

Chinese LLM response evaluation

Top Data Types

Text

Video

Document

Top Task Types

Point/Key Point

Question Answering

Evaluation/Rating

Text Summarization

Freelancer Overview

OpenTrain AI Trainer / LLM Evaluator / Chinese Content Quality Evaluator — Product & Content Operations (Founding Team M. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor's Degree, Guangdong University of Finance & Economics. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Brand / Online Promotion / Product Operations — AI/Product Projects & Learning (Oral Care & Digital Growth Projects)

Don't discloseText

Performed evaluation and quality checks on user-facing product descriptions, selling points, and marketing material. Focused on improving clarity, consistency, persuasive logic, and compliance-sensitive phrasing. Used structured QA thinking to turn ambiguous marketing objectives into repeatable review tasks. • Reviewed product descriptions and messaging for clarity and consistency • Validated persuasive logic and tone while aligning with user needs • Produced structured optimization plans based on research and feedback • Supported compliance-focused copy review and generation for promotion materials

2023 - Present

OpenTrain AI Trainer / LLM Evaluator / Chinese Content Quality Evaluator — Product & Content Operations (Founding Team Member)

Don't discloseText

Provided LLM response and content quality evaluations for oral health/dentist IP content systems. Assessed outputs for accuracy, relevance, clarity, user intent alignment, credibility, and compliance-sensitive wording. Explained ratings with concise evidence while iterating standards to improve consistency across cases. • Rated Chinese responses for helpfulness, clarity, and context awareness • Designed Chinese adversarial and boundary prompts for product-claim and sensitive-content checks • Compared multiple model outputs, flagged hallucinations/unsupported claims, and suggested safer rewrites • Built rubrics, SOPs, and example banks to standardize evaluation and QA

2021 - Present

Education

Work History