Twalet N.

Key Skills

Software

Lionbridge

Appen

Telus

Top Subject Matter

Content moderation / community guidelines

AI model training data preparation for LLMs/chatbots

NLP / data annotation for AI model training

Top Data Types

Text

Image

Document

Top Task Types

Classification

Data Collection

Freelancer Overview

Content Moderator (AI) — Content moderation labeling & policy compliance. Core strengths include Lionbridge, Appen, and Telus. Education includes Data Science, University of Washington (2022). AI-training focus includes data types such as Text and labeling workflows including Classification and Data Collection.

Labeling Experience

Chat Moderator — Moderation labeling for chat compliance

TelusTextClassification

Monitored online discussions and live chat content to maintain respectful and engaging user interactions. Labeled and enforced community guideline compliance by identifying problematic messages and supporting appropriate moderation actions. Analyzed chat trends and reported findings to improve moderation policies. • Reviewed chat messages for guideline violations • Enforced moderation rules and provided real-time user support • Summarized moderation-relevant trends from chat activity • Reported insights to guide policy and labeling improvements

2023

Data Annotator — Large-scale text dataset labeling

AppenTextClassification

Labeled and categorized large-scale datasets to train AI models across NLP and related language tasks. Ensured annotation consistency and accuracy to improve machine learning performance. Collaborated with AI engineers to refine annotation guidelines and strengthen model predictions. • Applied label taxonomy to categorize dataset items • Performed consistency checks across labeled examples • Updated or followed guideline changes during annotation iterations • Supported model improvement through accurate ground-truth labeling

2023

AI Training Specialist (AI) — Dataset curation, processing, and QA

AppenTextData Collection

Assisted in training AI models by curating, cleaning, and processing relevant datasets. Performed labeling-adjacent preparation to ensure training data quality and alignment with project objectives. Conducted quality checks and provided feedback to improve AI response accuracy. • Curated and cleaned datasets for model training • Validated dataset readiness against project requirements • Reviewed AI-generated outputs and reported corrective feedback • Checked response alignment with desired behaviors and goals

2022

Content Moderator (AI) — Content moderation labeling & policy compliance

LionbridgeTextClassification

Reviewed and filtered user-generated content to support policy-compliant AI moderation outcomes. Labeled and flagged inappropriate or non-compliant content for downstream review and model/system improvement. Ensured labeled data aligned with platform guidelines and community standards. • Applied content moderation categories based on observed policy violations • Identified and escalated unsafe or undesirable posts • Collaborated with policy teams to refine moderation strategy and labeling rules • Performed quality-oriented checks to maintain consistency and safety

2022

Education

Work History