Brian M.

Key Skills

Software

Appen

Remotasks

Top Subject Matter

NLP (multilingual text evaluation, transcription, and search relevance) and multimodal dataset QA

Generative AI training data (conversational, dialogue acts, and adversarial prompting)

Top Data Types

Text

Image

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

Data Labeler & QA Analyst | Appen (Remote). Brings 7+ years of professional experience across complex professional workflows, research and quality-focused execution. Education includes Bachelor of Science, University of Nairobi (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Data Labeler & QA Analyst | Appen (Remote)

AppenText

Trained and performed data labeling for multiple AI projects, evaluating model outputs for quality and safety. Reviewed AI-generated text in English and Swahili for helpfulness, harmlessness, and accuracy. Flagged edge cases and ambiguous examples to improve platform-wide annotation guidelines.• Completed audio transcription, image classification, and search relevance rating tasks across 8+ concurrent client projects.• Assessed ranking outputs against defined rubric criteria for acceptance and quality.• Documented problematic cases and contributed feedback loops to update instructions.• Maintained a 98.7% task acceptance rate while meeting quality benchmarks.

2020 - 2025

Freelance Content Annotator | Outlier AI / Remotasks

RemotasksTextPrompt + Response Writing (SFT)

Annotated conversational and dialogue datasets intended to train generative AI models. Produced and refined adversarial prompts to stress-test model robustness and safety guardrails. Supported dataset creation by labeling dialogue acts and code snippets for training and evaluation workflows.• Labeled conversational examples and dialogue acts for generative model learning.• Annotated code snippets as part of supervised training data.• Developed adversarial prompts to identify unsafe or brittle model behaviors.• Refined prompt sets to strengthen safety alignment during dataset preparation.

2019 - 2020

Education

Work History