Jay T.

Key Skills

Software

Don't disclose

Top Subject Matter

Legal and financial domain text

multi-turn conversational AI training data

Legal documents and case information

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Evaluation/Rating

Freelancer Overview

Data Annotation Specialist (SFT/RLHF data labeling and quality control). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Don't disclose, Internal, and Proprietary Tooling. Education includes Bachelor of Laws, Chongqing University of Arts and Sciences (2021). AI-training focus includes data types such as Text and Document and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

AI Intelligence Assistant (legal document processing and classification workflow)

Document

Contributed to AI intelligence workflows for legal document processing, including automatic generation, verification, and classification of legal documents used in case-handling processes. Improved data interoperability between case-management systems and court platforms to support intelligent matching of case information and document materials. Focused on ensuring procedural compliance and execution accuracy through workflow optimization and coverage expansion. • Assisted in implementing smart document workflow with generation, verification, and classification steps.• Enabled synchronization and intelligent matching of case information and process milestones across systems.• Increased intelligent coverage of core case handling processes by 60%+ by June 2025.• Supported accuracy and compliance improvements through optimized document handling workflows.

2024 - 2025

Data Annotation Specialist (SFT/RLHF data labeling and quality control)

Don't discloseTextRLHF

Served as a Data Annotation Specialist performing supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF) scenario data annotation. Labeled complex long-text, multi-turn conversational tasks with attention to rule compliance and task understanding. Conducted iterative quality improvements based on bad case analysis and feedback loops.• Executed SFT and RLHF annotation for conversational and long-form text scenarios.• Applied multi-dimensional, multi-project labeling rules and quickly adapted to task switching.• Performed data quality sampling and inspection to identify non-compliance issues.• Analyzed bad cases and provided feedback to improve labeling standards and compliance rates.

2023 - 2024

Education

Work History