For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
C

Chen L.

高级AI研发工程师(LLM 数据评估与RLHF数据管理)

Singapore flag东北社区, Singapore

Key Skills

Software

No software listed

Top Subject Matter

Large Language Models (LLMs)
Rlhf Domain Expertise
AI Safety

Top Data Types

TextText

Top Task Types

Bounding BoxBounding Box
PolygonPolygon
SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification

Freelancer Overview

高级AI研发工程师(LLM 数据评估与RLHF数据管理). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, 清华大学 (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

高级AI研发工程师(LLM 数据评估与RLHF数据管理)

TextText

This role focused on evaluating and optimizing large language models (LLMs) for various AI applications. I conducted data quality control, performance assessment, and contributed to RLHF data collection and model safety evaluation. My daily work involved prompt engineering, code review, and chain-of-thought experiments. • Performed LLM evaluation for code generation and mathematical reasoning tasks. • Led RLHF data collection, annotation, and quality assurance. • Designed and executed model safety and red teaming workflows. • Processed and validated large-scale multi-modal data for AI development.

2021 - Present

AI算法工程师(NLP数据标注与评估)

TextText

In this role, I designed model evaluation metrics and developed data annotation standards for natural language processing projects. As an AI algorithm engineer, I contributed to initial AI technology research and preliminary model evaluations. I took responsibility for ensuring high-quality labeled data for model performance assessment. • Developed NLP model evaluation procedures and metrics. • Standardized annotation processes for data consistency. • Supported AI research and model evaluation efforts. • Ensured quality control during the data labeling cycle.

2020 - 2021

Education

清华大学

Master of Science, Computer Science

Master of Science
2020 - 2021

Work History

R

Red

Senior AI Research and Development Engineer

N/A
2021 - Present
N

N/A

AI Algorithm Engineer

N/A
2020 - 2020