Maurice M.

Key Skills

Software

Don't disclose

Top Subject Matter

General knowledge and reasoning across wide-ranging topics (research-backed writing).

Conversational language modeling and everyday informal dialogue.

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Prompt + Response Writing (SFT)

Freelancer Overview

AI Content Writer & Trainer (Independent Contractor). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Arts, University of Nairobi (2024). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

AI Content Writer & Trainer (Independent Contractor)

Don't discloseTextPrompt + Response Writing (SFT)

AI Content Writer & Trainer producing fact-checked training responses to teach model reasoning, logical consistency, and natural language clarity. Work followed strict style and quality guidelines, including research-backed content preparation and iterative rewrites for tone, clarity, and factual correctness. Reviewed AI-generated text to improve logical flow, detect weak points, and replace them with cleaner, more precise formulations. • Crafted prompt-to-response training style content for AI reasoning and writing. • Ensured adherence to project formatting, tone, and style standards. • Conducted research and fact-checking before and during writing. • Participated in QA review cycles and applied feedback to subsequent batches.

2025 - Present

Legal Transcriptionist

AudioTranscription

Transcribing legal proceedings in verbatim style.

2026 - 2026

Data Annotation & Content Reviewer (Independent Contractor)

Don't discloseText

Data Annotation & Content Reviewer who improved datasets of everyday conversational text to help AI language models handle natural informal language. Identified and corrected unnatural phrasing, labeling errors, and contextual inaccuracies to ensure outputs sounded like real people. Assessed AI-generated content for tone, intent, and meaning, providing clear written commentary explaining each evaluation decision. • Corrected conversational dataset entries for naturalness and context. • Fixed labeling errors and corrected unnatural phrasing. • Evaluated tone, intent, and semantic meaning of AI outputs. • Wrote clear reviewer notes to guide actionable improvements.

2024 - 2024

Education

Work History