Metho J.

Key Skills

Software

Remotasks

Don't disclose

Datature

LabelImg

Micro1

CVAT

Data Annotation Tech

Toloka

Top Subject Matter

Large Language Models (LLM) evaluation and prompt-based AI training

Marketing optimization with analytics and content iteration

Top Data Types

Text

Video

Image

Top Task Types

Prompt + Response Writing (SFT)

Bounding Box

Segmentation

Classification

Point/Key Point

Text Generation

RLHF

Freelancer Overview

AI Trainer (Remote) — Remotask, Outlier. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Outlier, and Don't disclose. Education includes Diploma, Jomo Kenyatta University of Agriculture & Technology (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Junior Marketing Associate — Thrive Market

Don't discloseTextPrompt + Response Writing (SFT)

Worked on AI-adjacent marketing analytics and content optimization activities to improve digital campaign performance. Used analytics tooling to measure results and support iterative refinements to marketing outputs. While not explicitly described as AI training, the role involved ongoing optimization cycles based on performance signals. • Conducted SEO keyword and content strategy iterations • Monitored Meta ad performance with audience segmentation and A/B testing • Produced weekly/monthly analytics reporting • Collaborated cross-functionally to launch campaigns and improve lead generation

2025 - Present

AI Trainer (Remote) — Remotask, Outlier

RemotasksText

Trained and evaluated Large Language Models by reviewing, rating, and refining AI-generated responses. Annotated and validated high volumes of text data to improve accuracy, contextual relevance, linguistic coherence, and overall reasoning quality. Designed and tested prompts across diverse subject areas to ensure responses aligned with project guidelines and user intent. • Reviewed and rated model outputs for correctness and quality • Refined responses via iterative feedback to improve natural language understanding • Performed large-scale text annotation and validation with strict QA • Developed prompts and provided structured feedback for continuous optimization

2022 - 2025

Education

Work History