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G
George M.

George M.

Freelance AI Data Specialist (Self-employed / Various Platforms)

Kenya flagN/A, Kenya

Key Skills

Software

RemotasksRemotasks
AppenAppen
Scale AIScale AI
Other

Top Subject Matter

Large language model (LLM) response evaluation and supervised fine-tuning data preparation
Content moderation and text classification for moderation/chatbot training
Legal Services & Contract Review

Top Data Types

TextText
DocumentDocument

Top Task Types

ClassificationClassification

Freelancer Overview

Freelance AI Data Specialist (Self-employed / Various Platforms). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Remotasks, Appen, and Scale AI. Education includes Bachelor of Arts, Kenyatta University (2020). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Remotasks

Freelance AI Data Specialist (Self-employed / Various Platforms)

RemotasksRemotasksTextText

Reviewed and rated thousands of AI-generated responses for quality, factual accuracy, helpfulness, tone, and adherence to safety guidelines. Conducted prompt engineering review by identifying unclear instructions and recommending improvements to elicit better behavior from large language models. Performed quality checks for issues such as hallucinations, biases, and harmful content in model outputs. • Evaluation criteria: accuracy, relevance, helpfulness, tone, and safety compliance • Prompt + response quality improvement for LLM instruction following • Red-flag detection: hallucinations, bias, and harmful content • Dataset coverage: general knowledge, technical topics, support dialogues, creative writing

2023 - Present

Content Moderator & Data Annotator (Freelance / Local Outsourcing Firm)

TextTextClassificationClassification

Evaluated user-generated content and AI-assisted outputs for compliance with community guidelines and quality standards. Labeled and categorized text data to support training of moderation and classification models. Offered feedback on response relevance and naturalness to improve downstream conversational performance. • Compliance labeling for moderation and quality standards • Text labeling for classification and moderation model training • Feedback loops on relevance and naturalness • High-volume, time-sensitive annotation work

2022 - 2023

Education

K

Kenyatta University

Bachelor of Arts, Linguistics and Communication

Bachelor of Arts
2020

Work History

S

Self-Employed

Freelance AI Data Specialist

N/A
2023 - Present
L

Local Outsourcing Firm

Content Moderator & Data Annotator

Nairobi
2022 - 2023