Nzube G.

Key Skills

Software

Micro1

Mindrift

Telus

Toloka

iMerit

Clickworker

Top Subject Matter

Artificial Intelligence and Machine Learning

Data Annotation & Labeling

Content Moderation & Quality Assurance

Top Data Types

Text

Image

Video

Document

Top Task Types

RLHF

Prompt + Response Writing (SFT)

Text Generation

Data Collection

Transcription

Freelancer Overview

AI Data Specialist & Biology Subject Matter Expert with 4+ years teaching complex scientific concepts at primary and secondary levels. Active contributor on Micro1 and Mindrift AI data projects, with Welocalize LLM Multi-Turn Annotation Training completed. I specialize in text/video evaluation, instruction-following assessment, and biology/science/education content labeling for large language models. My background in education provides strong skills in guidline interpretation, factual accuracy checks and delivering structured feedback. I maintain 98% accuracy across annotation tasks while meeting throughput targets. Available for RLHF, Multi-Turn dialogue QA and STEM content evaluation projects.

Labeling Experience

Mindrift AI Training Tasks – Data Annotation Contributor

MindriftText

Contributed to Mindrift AI training tasks focused on LLM output rating and instruction-following assessment. Performed content quality control using task rubrics and project guidelines to ensure outputs meet evaluation criteria. Helped maintain structured labeling consistency as standards and tools update. • Rated LLM outputs for quality dimensions • Assessed instruction-following and rubric compliance • Performed content quality control for training data • Followed safety and guideline requirements where applicable

2026 - Present

Micro1 AI Data Projects – Active Contributor

Micro1TextRLHF

Participated as an active contributor on Micro1 AI data projects involving text annotation and prompt-response evaluation. Performed prompt-response and guideline adherence checks across multiple projects using evolving annotation standards. Supported model improvement through consistent quality reviews and annotation accuracy. • Conducted text annotation and educational content labeling • Evaluated prompt-response quality and guideline adherence • Applied QA checks across multi-project workflows • Maintained accuracy expectations under project guidelines

2026 - Present

AI Data Annotation Specialist (Contract), Micro1 & Mindrift Projects

Micro1Text

Executed data labeling and annotation for large language models using detailed project guidelines across text, image-text, and Q&A datasets. Evaluated LLM outputs for factual accuracy, instruction-following, helpfulness, and safety while performing quality control on multi-turn dialogues. Labeled educational science and biology content (e.g., carbohydrates, lipids, proteins, and nucleic acids) and maintained guideline adherence with 98%+ accuracy. • Rated prompt-response pairs and performed instruction-following assessments • Checked factuality and safety per rubric and safety evaluation standards • Conducted multi-turn dialogue reviews for logical coherence and tone • Ensured cultural appropriateness of responses for evaluation tasks

2026 - Present

Web3 Enthusiast & Freelancer — domain knowledge for potential AI training/evaluation on Web3 content.

Text

Worked with blockchain and decentralized technology projects, building domain awareness that can support AI training and content evaluation for Web3-related data. Focused on user experience considerations and virtual team coordination in a tech-forward setting. This domain context supports effective training and evaluation when the data pertains to Web3 concepts. • Participated in Web3-focused projects and decentralized technologies work. • Contributed to user experience and digital solution thinking. • Adapted quickly in fast-changing technical environments. • Collaborated in virtual/team-based settings.

2022 - Present

Teacher & Educator — created content, trained learners, and evaluated performance with constructive feedback.

Text

Designed and delivered educational content while evaluating learner outputs and providing improvement feedback based on clear criteria. Applied consistent accuracy checks and maintained quality standards across academic deliverables. This experience aligns with reviewing and improving text outputs in AI training and evaluation contexts. • Developed engaging educational materials and learning content. • Mentored students and created training programs focused on communication. • Ensured consistent quality and accuracy in deliverables. • Used feedback loops to correct errors and improve outcomes.

2019 - 2020

Education

Work History