Victor Maurice

Key Skills

Software

Appen

Other

Micro1

Data Annotation Tech

Scale AI

Mercor

OneForma

Top Subject Matter

General AI-generated Content

Content Moderation

Legal Services & Contract Review

Top Data Types

Text

Document

Image

Top Task Types

Classification

Object Detection

RLHF

Question Answering

Evaluation/Rating

Text Generation

Point/Key Point

Entity (NER) Classification

Freelancer Overview

Data Reviewer / Quality Analyst (Independent / Project-Based-Lantana Project AppenCrowdgen). Professional background includes roles such as Data Entry & Analysis Assistant. Core strengths include Appen and Other. Education includes Bachelor of Science, University of California, Berkeley. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Content Evaluator & RLHF Specialist (Large Language Models)

TextRLHF

Scope: Worked as an AI Training Specialist focused on improving the accuracy, safety, and reasoning capabilities of a proprietary Large Language Model (LLM). Tasks Performed: RLHF (Reinforcement Learning from Human Feedback): Evaluated AI-generated responses based on strict criteria: Factuality, Relevance, and Instruction Following. Ranking & Comparison: Performed side-by-side (SbS) evaluations of model outputs, ranking them according to quality and safety guidelines. Prompt Engineering: Crafted complex prompts to stress-test the model’s ability to handle multi-step reasoning and creative writing tasks. Fact-Checking: Conducted external research to verify the truthfulness of model claims on high-stakes topics.

Scope: Worked as an AI Training Specialist focused on improving the accuracy, safety, and reasoning capabilities of a proprietary Large Language Model (LLM). Tasks Performed: RLHF (Reinforcement Learning from Human Feedback): Evaluated AI-generated responses based on strict criteria: Factuality, Relevance, and Instruction Following. Ranking & Comparison: Performed side-by-side (SbS) evaluations of model outputs, ranking them according to quality and safety guidelines. Prompt Engineering: Crafted complex prompts to stress-test the model’s ability to handle multi-step reasoning and creative writing tasks. Fact-Checking: Conducted external research to verify the truthfulness of model claims on high-stakes topics.

2025 - 2026

Content Moderator / Reviewer (Freelance)

OtherTextClassification

Evaluated written and visual content to ensure adherence to platform guidelines. Consistently applied classification and moderation standards to large volumes of content. Flagged inappropriate, misleading, or non-compliant content to maintain platform integrity. • Demonstrated strong attention to labeling accuracy. • Applied decision-making across multiple types of content. • Maintained a consistent process for judging content compliance. • Worked within set turnaround times for content moderation projects.

Evaluated written and visual content to ensure adherence to platform guidelines. Consistently applied classification and moderation standards to large volumes of content. Flagged inappropriate, misleading, or non-compliant content to maintain platform integrity. • Demonstrated strong attention to labeling accuracy. • Applied decision-making across multiple types of content. • Maintained a consistent process for judging content compliance. • Worked within set turnaround times for content moderation projects.

Not specified

Data Reviewer / Quality Analyst (Independent / Project-Based-Lantana Project AppenCrowdgen)

AppenText

Reviewed structured datasets and content outputs for accuracy and guideline compliance. Tagged and categorized content based on predefined rules to ensure data quality. Identified errors, inconsistencies, and edge cases while delivering work under tight deadlines. • Provided feedback for continuous workflow improvement. • Maintained high accuracy in content evaluation and tagging. • Ensured compliance with specific content labeling guidelines. • Worked remotely and independently on project-based assignments.

Reviewed structured datasets and content outputs for accuracy and guideline compliance. Tagged and categorized content based on predefined rules to ensure data quality. Identified errors, inconsistencies, and edge cases while delivering work under tight deadlines. • Provided feedback for continuous workflow improvement. • Maintained high accuracy in content evaluation and tagging. • Ensured compliance with specific content labeling guidelines. • Worked remotely and independently on project-based assignments.

Not specified

Education

Work History