Leeway T.

Key Skills

Software

Other

Top Subject Matter

电商/短视频内容分类标注培训 Domain Expertise

物流/客户满意度调查kano模型 Domain Expertise

数据分析/业务数据准备 Domain Expertise

Top Data Types

Text

Document

Video

Top Task Types

Classification

Data Collection

Freelancer Overview

字节跳动科技有限公司-数据标注培训（抖音短视频分类标签）. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor's Degree, Chongqing Second Normal University (2020) and Certification, China Business Data Analysis Committee. AI-training focus includes data types such as Text, Document, and Video and labeling workflows including Classification, Evaluation, and Rating.

Labeling Experience

Data Labeling Training Participant - ByteDance Technology

VideoClassification

You participated in a data labeling training program for short video classification and tagging workflows. You were responsible for learning labeling standards, completing assigned annotation tasks, and attending structured training sessions. The role required familiarity with data quality requirements, platform operations, and disciplined documentation habits. • Completed short video classification/tagging labeling training • Followed annotation guidelines and quality checks • Attended structured training for labeling teams • Supported data labeling workflow execution

2021 - 2025

字节跳动科技有限公司-数据标注培训（抖音短视频分类标签）

TextClassification

在字节跳动科技有限公司担任数据标注培训岗位，负责抖音短视频分类标签相关的数据标注培训与支持。通过培训提升学员对标注规范、标签体系与一致性要求的理解，从而保障标注质量与交付稳定性。工作期间参与课程讲解、标注实操指导与质量反馈闭环。• 抖音短视频分类标签数据标注培训与规范宣导 • 协助学员完成标注实操，跟进疑难问题 • 进行标注结果的质量评估与反馈 • 支持培训体系运行，培养1000+数据标注人才

2021 - 2025

重庆荼晟数据分析与销售-数据采集与分析支持

OtherTextData Collection

在重庆荼晟数据分析与销售经历中，参与数据采集与分析相关工作以支持业务决策。通过对业务相关数据的整理与分析，辅助销售与运营侧的洞察提取。工作内容侧重于数据可用性与结果表达。• 参与数据整理与分析 • 支持业务决策所需的数据准备 • 辅助将分析结果转化为可用方案 • 配合业务开展数据相关支持工作

2020 - 2021

客户满意度调查KANO模型-训练集/测试集整理

Document

在重庆顺丰快递相关经历中，围绕客户满意度调查开展KANO模型分析。对问卷数据进行训练集与测试集整理，提升后续建模与评估的可用性。整理有效样本并进行模型输入准备以支持分析结论产出。• KANO模型客户满意度调查数据处理 • 训练集与测试集整理与划分 • 问卷筛选出有效项目样本 • 完成数据整理以支撑后续分析

2019 - 2020

Education

Work History