Mark Joe

Key Skills

Software

Appen

Remotasks

Top Subject Matter

Software Engineering

Fintech Domain Expertise

Backend Engineering

Top Data Types

Text

Image

Document

Top Task Types

Classification

RLHF

Freelancer Overview

AI Code Evaluator & Prompt Engineer. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Outlier.ai, Appen, and Remotasks. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2023) and Certificate, Strathmore University (2022). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Code Evaluator & Prompt Engineer

As an AI Code Evaluator & Prompt Engineer at Outlier.ai (Scale AI Partner), I performed large-scale evaluation of AI-generated code outputs and provided structured feedback for LLM fine-tuning. I designed and refined prompts, red-teamed model outputs for flaws, and supplied RLHF preference data across technical software domains. This role required deep knowledge of code quality, AI prompt engineering, and iterative model improvement workflows. • Evaluated thousands of code tasks in Java, Python, JavaScript, and system design. • Provided RLHF preference ranking, rankings, and detailed justifications for model outputs. • Red-teamed LLM outputs to identify logical errors, hallucinations, and security issues. • Used Outlier.ai and proprietary Scale AI platforms for evaluation and RLHF annotation.

As an AI Code Evaluator & Prompt Engineer at Outlier.ai (Scale AI Partner), I performed large-scale evaluation of AI-generated code outputs and provided structured feedback for LLM fine-tuning. I designed and refined prompts, red-teamed model outputs for flaws, and supplied RLHF preference data across technical software domains. This role required deep knowledge of code quality, AI prompt engineering, and iterative model improvement workflows. • Evaluated thousands of code tasks in Java, Python, JavaScript, and system design. • Provided RLHF preference ranking, rankings, and detailed justifications for model outputs. • Red-teamed LLM outputs to identify logical errors, hallucinations, and security issues. • Used Outlier.ai and proprietary Scale AI platforms for evaluation and RLHF annotation.

2023 - Present

AI Data Labeler & RLHF Specialist

RemotasksTextRLHF

As an AI Data Labeler & RLHF Specialist at Remotasks (Scale AI), I completed high-volume data labeling and RLHF annotation for conversational AI and technical domains. I performed bounding box annotation, text classification, semantic segmentation, and evaluated LLM-generated responses for quality. Specializing in fintech and software engineering, I rated, compared, and improved LLM outputs for technical tasks. • Labeled data using bounding box, segmentation, and text classification methods. • Rated conversational AI responses for helpfulness, harmlessness, and accuracy. • Evaluated model-generated summaries and technical documentation for completeness. • Drew on domain expertise in fintech APIs and system architecture for specialized annotation.

As an AI Data Labeler & RLHF Specialist at Remotasks (Scale AI), I completed high-volume data labeling and RLHF annotation for conversational AI and technical domains. I performed bounding box annotation, text classification, semantic segmentation, and evaluated LLM-generated responses for quality. Specializing in fintech and software engineering, I rated, compared, and improved LLM outputs for technical tasks. • Labeled data using bounding box, segmentation, and text classification methods. • Rated conversational AI responses for helpfulness, harmlessness, and accuracy. • Evaluated model-generated summaries and technical documentation for completeness. • Drew on domain expertise in fintech APIs and system architecture for specialized annotation.

2022 - Present

Data Annotation Specialist — NLP & Technical Domains

AppenTextClassification

As a Data Annotation Specialist with Appen, I labeled large-scale NLP datasets and code snippets while also participating in search relevance and image annotation projects. My work involved entity classification, sentiment analysis, and intent labeling for financial and technology domains. I also supported LLM code generation via code annotation and contributed to high-standard image and document labeling initiatives. • Conducted NLP annotation (intent, NER, sentiment) in financial and tech data. • Labeled code snippets for LLM code model training datasets. • Rated search relevance and quality for major search engine projects. • Performed object detection and OCR projects for structured document datasets.

As a Data Annotation Specialist with Appen, I labeled large-scale NLP datasets and code snippets while also participating in search relevance and image annotation projects. My work involved entity classification, sentiment analysis, and intent labeling for financial and technology domains. I also supported LLM code generation via code annotation and contributed to high-standard image and document labeling initiatives. • Conducted NLP annotation (intent, NER, sentiment) in financial and tech data. • Labeled code snippets for LLM code model training datasets. • Rated search relevance and quality for major search engine projects. • Performed object detection and OCR projects for structured document datasets.

2022 - Present

Education

Work History