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Diana Gakii

LLM Annotator — Anuttacon

Kenya flagNairobi, Kenya
$12.00/hrExpertOtherRemotasks

Key Skills

Software

Other
RemotasksRemotasks

Top Subject Matter

LLM Benchmarking and Evaluation
Computer Vision
AI Speech Training

Top Data Types

TextText
ImageImage
AudioAudio

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification
TranscriptionTranscription

Freelancer Overview

LLM Annotator — Anuttacon. Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Kenyatta University (2025). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Prompt + Response Writing (SFT), Classification, and Transcription.

ExpertEnglish

Labeling Experience

LLM Annotator — Anuttacon

TextPrompt Response Writing SFT
As an LLM Annotator, I designed and wrote high-quality prompts to train and evaluate large language models (LLMs) across diverse domains. I evaluated AI-generated responses on accuracy, clarity, and alignment with human intent, providing detailed feedback to support iterative improvements. I also ranked and rated model outputs as part of reinforcement learning from human feedback (RLHF) workflows. • Produced comprehensive prompts and response evaluations for next-generation LLMs • Identified edge cases and failure modes in model-generated outputs • Contributed to ongoing guideline refinement and model safety efforts • Supported RLHF by ranking and providing qualitative feedback on outputs

As an LLM Annotator, I designed and wrote high-quality prompts to train and evaluate large language models (LLMs) across diverse domains. I evaluated AI-generated responses on accuracy, clarity, and alignment with human intent, providing detailed feedback to support iterative improvements. I also ranked and rated model outputs as part of reinforcement learning from human feedback (RLHF) workflows. • Produced comprehensive prompts and response evaluations for next-generation LLMs • Identified edge cases and failure modes in model-generated outputs • Contributed to ongoing guideline refinement and model safety efforts • Supported RLHF by ranking and providing qualitative feedback on outputs

2025 - Present

Data Quality & Insights Analyst — OpenAI Projects

Text
As a Data Quality & Insights Analyst, I curated benchmark datasets and executed rigorous quality validation for LLM training at OpenAI Projects. I systematically investigated root causes of model-human disagreement, analyzed model performance, and refined ambiguity in annotation guidelines. My insights improved agreement rates, reduced variance, and elevated scientific rigor in evaluation processes. • Built and validated LLM evaluation datasets for benchmarking • Performed root cause analysis of system vs. human outputs • Guided annotation guideline development and quality improvements • Ensured dataset integrity and scientific assessment standards

As a Data Quality & Insights Analyst, I curated benchmark datasets and executed rigorous quality validation for LLM training at OpenAI Projects. I systematically investigated root causes of model-human disagreement, analyzed model performance, and refined ambiguity in annotation guidelines. My insights improved agreement rates, reduced variance, and elevated scientific rigor in evaluation processes. • Built and validated LLM evaluation datasets for benchmarking • Performed root cause analysis of system vs. human outputs • Guided annotation guideline development and quality improvements • Ensured dataset integrity and scientific assessment standards

2025 - 2025

Audio Annotator & Quality Reviewer — Reliabl.ai

OtherAudioTranscription
In this role, I annotated and transcribed audio datasets for AI model development. I reviewed recordings for clarity, background noise, and pronunciation errors to ensure suitability for training speech recognition models. High attention to detail ensured accurate transcription and labeling of audio segments. • Labeled and segmented audio data for machine learning • Conducted quality reviews for audio datasets • Ensured transcription accuracy and consistency • Supported AI speech recognition model initiatives

In this role, I annotated and transcribed audio datasets for AI model development. I reviewed recordings for clarity, background noise, and pronunciation errors to ensure suitability for training speech recognition models. High attention to detail ensured accurate transcription and labeling of audio segments. • Labeled and segmented audio data for machine learning • Conducted quality reviews for audio datasets • Ensured transcription accuracy and consistency • Supported AI speech recognition model initiatives

2025 - 2025

Image Annotator & Quality Reviewer — Reliabl.ai

OtherImageClassification
As an Image & Audio Annotator & Quality Reviewer, I labeled image datasets for AI training, ensuring accurate categorization and quality. I collaborated with quality reviewers to resolve ambiguous cases and maintained high standards under tight deadlines. My work contributed directly to computer vision model development and dataset consistency. • Systematically annotated visual data for AI training • Maintained annotation consistency and high accuracy • Collaborated on quality review in ambiguous scenarios • Contributed to dataset quality for vision-based AI models

As an Image & Audio Annotator & Quality Reviewer, I labeled image datasets for AI training, ensuring accurate categorization and quality. I collaborated with quality reviewers to resolve ambiguous cases and maintained high standards under tight deadlines. My work contributed directly to computer vision model development and dataset consistency. • Systematically annotated visual data for AI training • Maintained annotation consistency and high accuracy • Collaborated on quality review in ambiguous scenarios • Contributed to dataset quality for vision-based AI models

2025 - 2025

AI Training Data Specialist — Meta Projects

Text
At Meta Projects as an AI Training Data Specialist, I oversaw modular quality checks on multilingual speech recognition datasets. I developed and implemented validation processes, refined guidelines, and ensured data consistency and integrity across language markets. My efforts directly elevated accuracy, reduced variability, and improved annotation alignment. • Managed large multilingual training datasets with focus on accuracy • Standardized evaluation and modular quality check protocols • Led inter-team guideline calibration and continuous improvement • Enhanced data integrity for speech recognition AI training

At Meta Projects as an AI Training Data Specialist, I oversaw modular quality checks on multilingual speech recognition datasets. I developed and implemented validation processes, refined guidelines, and ensured data consistency and integrity across language markets. My efforts directly elevated accuracy, reduced variability, and improved annotation alignment. • Managed large multilingual training datasets with focus on accuracy • Standardized evaluation and modular quality check protocols • Led inter-team guideline calibration and continuous improvement • Enhanced data integrity for speech recognition AI training

2024 - 2025

Education

K

Kenyatta University

Bachelor of Science, Dryland Agriculture and Enterprise Development

Bachelor of Science
2021 - 2025

Work History

E

Erudite Writers

Research & Content Quality Analyst

Nairobi
2019 - Present