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F

Fredrick M.

AI LLM Trainer / Data Annotation Specialist at Appen (Dec 2023 – Mar 2025)

Kenya flagMurang’a, Kenya

Key Skills

Software

AppenAppen
TolokaToloka

Top Subject Matter

AI/ML training datasets including LLM output evaluation
text categorization
and content relevance QA

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

ClassificationClassification
Bounding BoxBounding Box

Freelancer Overview

AI LLM Trainer / Data Annotation Specialist at Appen (Dec 2023 – Mar 2025). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Toloka. Education includes Bachelor of Science, Murang’a University of Technology (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Toloka

AI Data Labeler / Annotation Contributor at Toloka (Freelance / Remote, dates not specified)

TolokaTolokaTextTextClassificationClassification

Completed annotation and labeling tasks to improve AI model training datasets. Labeled and categorized structured and unstructured text for content classification and dataset enrichment. Performed search relevance evaluation, content moderation, and data verification activities. • Followed detailed annotation instructions to ensure consistent dataset outputs. • Provided accurate human feedback to support machine learning model performance. • Contributed to improving dataset quality through verification and validation steps. • Supported AI training requirements through reliable, task-based remote annotation.

2023 - Present
Appen

AI LLM Trainer / Data Annotation Specialist at Appen (Dec 2023 – Mar 2025)

AppenAppenTextText

Performed data labeling, annotation, and validation to support AI and machine learning model development. Evaluated LLM-generated outputs for quality, relevance, factual consistency, and instruction adherence. Reviewed and verified labeled data to maintain high annotation accuracy and consistency. • Labeled datasets using defined project guidelines, labeling taxonomies, and QA standards. • Conducted content classification, text categorization, and relevance assessments across multiple datasets. • Participated in AI training workflows including prompt-response evaluation and data quality assurance. • Worked remotely while meeting productivity and quality targets.

2023 - 2025

Education

M

Murang’a University of Technology

Bachelor of Science, Computer Science

Bachelor of Science
2022 - 2026

Work History

T

Twachanga

Full Stack Developer

Murang’a
2025 - 2026
Z

Zuri Labs Africa

Full Stack Developer

Murang’a
2025 - 2025