Charles M.

Key Skills

Software

Other

Appen

Clickworker

Snorkel AI

Scale AI

Remotasks

Mighty AI

Deep Systems

VoTT

Trilldata Technologies

SuperAnnotate

Top Subject Matter

AI Development/Natural Language Processing

Natural Language Processing/AI Research

Legal Services & Contract Review

Top Data Types

Text

Computer Code Programming

Document

Image

Top Task Types

Computer Programming/Coding

Transcription

Prompt + Response Writing (SFT)

Data Collection

Evaluation/Rating

Function Calling

Question Answering

Object Detection

Text Generation

Bounding Box

Text Summarization

Fine-tuning

Freelancer Overview

Data Analyst & AI Support Specialist – Data Labeling and Model Evaluation. Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2023) and Kenya Certificate of Secondary Education, Alliance High School (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Analyst & AI Support Specialist – TransPerfect Kenya

OtherText

As a Data Analyst & AI Support Specialist, I performed detailed annotation and evaluation of AI model outputs for international development projects. My responsibilities included quality assurance on large datasets, ensuring the accuracy and consistency of annotated data for natural language tasks. I contributed to optimizing remote AI workflows and documenting best practices for labeling teams. • Conducted manual and semi-automated annotation of AI-generated text outputs. • Performed large-scale model evaluation using Python and Excel. • Ensured adherence to strict labeling guidelines and project requirements. • Collaborated with global teams for distributed quality control.

2024 - Present

Advanced AI Trainer Certification – AIDRABS

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Obtained Advanced AI Trainer certification covering model evaluation, dataset curation, and prompt quality analysis. Developed practical expertise in annotation and workflow automation using advanced platforms. Acquired hands-on experience with dataset analysis in AI and ML workflows. • Completed structured training on dataset curation • Practiced model and prompt evaluation methodologies • Gained experience with annotation and feedback systems • Applied learning to practical AI workflow scenarios

2024 - 2024

Undergraduate Research Assistant – Data and AI Systems Laboratory

Text

As an Undergraduate Research Assistant at the Data and AI Systems Laboratory, I supported dataset refinement and AI model training for natural language tasks. My work involved data collection, preprocessing, and detailed analysis of labeled AI outputs. I assisted in preparing technical documentation and research abstracts for AI innovation forums. • Collected and cleaned large volumes of text-based data for model training. • Applied annotation guidelines to refine and structure natural language datasets. • Participated in the evaluation and comparison of AI model predictions. • Supported preparation of technical documentation related to data annotation.

2023 - 2023

Education

Work History