Mark K.

Key Skills

Software

Remotasks

Appen

Labelbox

Scale AI

Top Subject Matter

AI safety

LLM response quality

RLHF ranking

Top Data Types

Text

Image

Audio

Top Task Types

RLHF

Classification

Freelancer Overview

Freelance Data Labeler & AI Trainer (OpenTrain AI / Remote Platforms). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenTrain AI, Remotasks, and Appen. Education includes Kenya Certificate of Secondary Education, Kenya Certificate of Secondary Education (KCSE) (2020) and Certificate, Coursera (2023). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF, Classification, and Evaluation.

Labeling Experience

Freelance Data Labeler & AI Trainer (OpenTrain AI / Remote Platforms)

AppenAudio

Completed audio-related labeling tasks as part of multi-project dataset annotation work across remote platforms. Focused on accuracy and guideline adherence to deliver high-quality training data for AI models. • Annotated audio datasets per provided task instructions • Ensured consistency across large volumes of labeling tasks • Double-checked outputs before submission to reduce rejections • Communicated with the team when facing ambiguous instructions

2023 - Present

Freelance Data Labeler & AI Trainer (OpenTrain AI / Remote Platforms)

LabelboxImageClassification

Labeled text, image, and audio datasets across multiple remote projects using strict annotation rubrics for each task. Produced clean, reliable annotations to support downstream model improvement and maintained consistency over thousands of tasks. • Performed multi-modal dataset annotation including image labeling • Applied labeling rubrics and maintained guideline compliance per batch • Performed QA-oriented rechecks before submission • Adapted to different platform interfaces and task formats

2023 - Present

Freelance Data Labeler & AI Trainer (OpenTrain AI / Remote Platforms)

TextRLHF

Freelance AI trainer performing RLHF evaluation by comparing model responses side by side and selecting the more accurate, safer, or better-written output. Worked under strict annotation guidelines and quality checks to keep label consistency and reduce errors across large task batches. • Compared AI responses to determine best option (accuracy, safety, writing quality) • Followed and re-read platform/rubric guidelines to catch edge cases • Minimized rejection rate by double-checking tricky category boundaries • Asked questions via team chat instead of guessing when guidelines were unclear

2023 - Present

Education

Work History