阿不力克木 阿.

Key Skills

Software

Redbrick AI

Mighty AI

Snorkel AI

Top Subject Matter

LLM Evaluation

Multi-language Rating

AI Quality Assessment

Top Data Types

Text

Top Task Types

Text Summarization

RLHF

Red Teaming

Transcription

Freelancer Overview

Experienced AI data trainer with hands-on expertise in LLM response evaluation, prompt engineering, and bilingual (Chinese-English) data annotation. Actively work with open-source LLMs (Qwen series, Gemma-4) and AI agent platforms (OpenClaw), performing structured model comparison across 10+ models for accuracy, coherence, safety, and instruction-following quality. Skilled in text classification, content moderation, translation QA, fact-checking, and rubric-based evaluation. Bring 3+ years of professional experience as an educator, with strong transferable skills in structured assessment, quality standards development, and detailed documentation. Proficient in Python, PowerShell, and automation scripting for data processing pipelines. Native Mandarin Chinese and Uyghur speaker with advanced English proficiency — enabling high-quality cross-lingual annotation and cultural context validation. Available 20-30 hours per week with flexible scheduling for global projects.

Labeling Experience

AI Workflow Automation Engineer - LLM Response Evaluation

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As an AI Workflow Automation Engineer, I performed structured evaluation of LLM responses across multiple open-source and proprietary models. This work involved systematically rating output for accuracy, coherence, safety, and adherence to prompts in both Chinese and English. I developed automated scripts and workflows to enhance consistency and accuracy in evaluation tasks. • Conducted head-to-head comparisons across 10+ LLMs. • Developed rubrics for instruction-following and response relevance. • Utilized Python and in-house tools to semi-automate review processes. • Focused on edge-case identification and documentation.

2024 - Present

Bilingual Annotation & Translation QA Specialist – Education Data

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While teaching and preparing educational materials, I performed bilingual annotation and translation quality assessment within the education domain. I evaluated and validated translation accuracy and cultural context across Mandarin Chinese and Uyghur, ensuring high-quality learning resources. These tasks required detailed QA and cross-lingual quality checks applicable to AI training data. • Reviewed and annotated textual content for bilingual accuracy. • Designed rubrics for translation and context validation. • Applied structured feedback to refine AI-tuned curricula. • Ensured cultural and linguistic appropriateness in all materials.

2021 - Present

Education

Work History