For employers

Hire this AI Trainer

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

Invite to Job
S
Summer

Summer

Bilingual AI Trainer (AI model evaluation)

USA flagNew York, Usa

Key Skills

Software

Other
Data Annotation TechData Annotation Tech

Top Subject Matter

Computational linguistics
lexical databases
NLP dataset construction

Top Data Types

TextText
AudioAudio

Top Task Types

Data CollectionData Collection
ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating
Text SummarizationText Summarization

Freelancer Overview

Bilingual AI Trainer (AI model evaluation). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Data Annotation Tech and Other. Education includes Master of Science in Information, University of Michigan, Ann Arbor (2025) and Bachelor of Arts, National Taiwan University (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Computer Programming.

Labeling Experience

Data Annotation Tech

Bilingual AI Trainer (AI model evaluation)

Data Annotation TechData Annotation TechTextText

Conducted 500+ AI model evaluation tasks in Mandarin and English. Assessed outputs against expected quality and task criteria to support model performance improvement. Performed repeated evaluation cycles to ensure consistency and reliability across language inputs. • Language coverage: Mandarin and English. • Task work involved scoring/evaluating model responses. • Focused on accuracy, relevance, and quality of AI outputs. • Performed high-volume evaluation during the role period.

2026 - 2026

Data Scientist, Computational Linguistics Lab (dataset creation for AI training)

OtherTextText

Built a 300K+ linguistic dataset by automating expansion of Chinese WordNet coverage. Used Python automation to collect, process, and structure linguistic data into a labeled dataset. Supported downstream NLP/AI training by increasing coverage and dataset scale. • Created/expanded a large linguistic dataset (300K+). • Increased Chinese WordNet 2.0 coverage by 15x. • Applied Python-based automation for dataset construction. • Produced structured data suitable for NLP training use cases.

2021 - 2022

Data Scientist, National Taiwan University Computational Linguistics Lab (Nov 2021 – Aug 2022)

OtherTextTextData CollectionData Collection

Built and expanded a 300K+ linguistic dataset to improve coverage of Chinese WordNet 2.0. Conducted Python automation work that supported the creation, organization, and preparation of linguistic data for downstream NLP usage. Worked within a computational linguistics lab setting to support dataset development activities. • Created/expanded lexical resources contributing to WordNet coverage • Used Python-based automation to scale dataset creation • Prepared linguistic data likely structured for NLP processing • Supported evaluation/quality toward improved coverage (15x)

2021 - 2022

Education

U

University of Michigan, Ann Arbor

Master of Science in Information, Human-Computer Interaction

Master of Science in Information
2023 - 2025
N

National Taiwan University

Bachelor of Arts, Foreign Languages and Literatures

Bachelor of Arts
2016 - 2020

Work History

D

DataAnnotation

AI Trainer

New York
2026 - 2026
S

SecureAIs

Founding Product Designer

N/A
2025 - 2026