Tobias Musyoki

Key Skills

Software

Mindrift

Micro1

Top Subject Matter

AI Model Evaluation

Natural Language Processing

Search Engine Relevance and AI Model Training

Top Data Types

Text

Image

Video

Top Task Types

Bounding Box

Classification

Text Generation

Transcription

Evaluation Rating

Prompt Response Writing SFT

RLHF

Object Detection

Text Summarization

Segmentation

Point Key Point

Data Collection

Question Answering

Freelancer Overview

AI Data Annotation Specialist | Data Labeling & Quality Evaluation. Core strengths include Mindrift, Micro1, and N. Education includes Bachelor of Science, University of California Berkeley (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotation Specialist | Data Labeling & Quality Evaluation

MindriftText

As an AI Data Annotation Specialist at Mindrift, I annotated and labeled text data for AI training datasets. Quality assurance checks were routinely conducted to ensure data accuracy and consistency. I actively participated in machine learning workflows by preparing and validating datasets for model training. • Conducted evaluation of AI-generated content for linguistic accuracy and relevance • Collaborated with cross-functional teams to improve data guidelines • Maintained high productivity while adhering to deadlines and quality benchmarks • Performed detailed quality evaluation in support of NLP and language model development

As an AI Data Annotation Specialist at Mindrift, I annotated and labeled text data for AI training datasets. Quality assurance checks were routinely conducted to ensure data accuracy and consistency. I actively participated in machine learning workflows by preparing and validating datasets for model training. • Conducted evaluation of AI-generated content for linguistic accuracy and relevance • Collaborated with cross-functional teams to improve data guidelines • Maintained high productivity while adhering to deadlines and quality benchmarks • Performed detailed quality evaluation in support of NLP and language model development

2024 - 2026

Search Query Evaluation & AI Model Training Project, Personal Portfolio Project

Text

I undertook a portfolio project simulating search engine evaluation workflows to analyze and label search query results. The evaluation adhered to structured guidelines to accurately reflect user intent and relevance for AI training. Comprehensive documentation was produced to delineate the methodology used in search ranking model training. • Created and classified over 100 sample queries for labeling • Categorized results to aid search relevance model development • Conducted accuracy verification of content before final scoring • Documented evaluation protocols and framework for reproducibility

I undertook a portfolio project simulating search engine evaluation workflows to analyze and label search query results. The evaluation adhered to structured guidelines to accurately reflect user intent and relevance for AI training. Comprehensive documentation was produced to delineate the methodology used in search ranking model training. • Created and classified over 100 sample queries for labeling • Categorized results to aid search relevance model development • Conducted accuracy verification of content before final scoring • Documented evaluation protocols and framework for reproducibility

2024 - 2025

Search Query Evaluation & AI Model Training

Micro1Text

In my role with Micro1, I simulated a search engine evaluation workflow to analyze and label search query results. The process involved structured assessment of query relevance based on specific AI training guidelines and annotated user intent. I categorized outcomes into defined relevance levels to support search ranking model training. • Created and classified 100+ sample queries using a structured scoring framework • Conducted content verification via online research for accuracy before rating • Produced detailed documentation on evaluation methods for model development • Ensured ratings aligned with AI model training and consistency standards

In my role with Micro1, I simulated a search engine evaluation workflow to analyze and label search query results. The process involved structured assessment of query relevance based on specific AI training guidelines and annotated user intent. I categorized outcomes into defined relevance levels to support search ranking model training. • Created and classified 100+ sample queries using a structured scoring framework • Conducted content verification via online research for accuracy before rating • Produced detailed documentation on evaluation methods for model development • Ensured ratings aligned with AI model training and consistency standards

2023 - 2024

Education

Work History