Daniel M.

Key Skills

Software

No software listed

Top Subject Matter

LLM evaluation (RLHF)

Speech-to-text transcription for AI training

Document annotation and information extraction

Top Data Types

Text

Audio

Document

Top Task Types

Transcription

Classification

Freelancer Overview

Freelance AI Data Contributor — AI response evaluation for LLM training. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor's Degree, N/A (2026). AI-training focus includes data types such as Text, Audio, and Document and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Freelance AI Data Contributor — Text/structured data labeling

TextClassification

Performed data labeling and annotation tasks across text, document, and structured data formats according to detailed project guidelines. Applied careful review to ensure high accuracy and consistent labeling across assigned batches. Followed rubrics and quality reviewer feedback to maintain benchmark performance. • Labeled structured and text-based data • Followed project guidelines and labeling instructions • Used rubrics to maintain quality consistency • Incorporated reviewer feedback to improve accuracy

2024 - Present

Freelance AI Data Contributor — EN/SW translation and annotation

Text

Provided English-to-Swahili translation and annotation services to support multilingual AI training datasets. Produced culturally accurate and linguistically precise translations aligned with dataset requirements. Applied labeling and annotation practices to maintain consistency across multilingual content. • Translated EN content into SW with guideline compliance • Annotated alongside translation to support dataset needs • Ensured linguistic precision and cultural appropriateness • Delivered consistent outputs for training data

2024 - Present

Freelance AI Data Contributor — Document annotation (entity tagging/classification)

Document

Annotated documents by tagging entities, classifying content, and labeling key information fields across multiple document types. Maintained accuracy by following detailed labeling guidelines and project instructions. Ensured labeled outputs were consistent and usable for machine learning and AI training pipelines. • Tagged entities within document text • Classified content into predefined categories • Labeled key information fields • Maintained consistent labeling quality using rubrics

2024 - Present

Freelance AI Data Contributor — Audio transcription

AudioTranscription

Performed audio transcription work, converting spoken content into accurate written text. Paid close attention to punctuation, speaker distinction, and formatting rules required by the project guidelines. Produced high-quality transcripts suitable for downstream AI training and dataset construction. • Transcribed spoken audio into written text • Ensured punctuation and formatting accuracy • Distinguished speakers when applicable • Followed transcription instructions and quality expectations

2024 - Present

Freelance AI Data Contributor — AI response evaluation for LLM training

Text

Evaluated and rated AI-generated responses for quality, relevance, and accuracy as part of LLM evaluation and RLHF workflows. Followed provided rubrics and instructions to ensure consistent scoring across responses. Reported findings in a structured, guideline-driven manner to support iterative model improvement. • Rated response quality against task-specific criteria • Assessed relevance and factual accuracy • Applied RLHF-style evaluation expectations • Ensured consistent rubric adherence across batches

2024 - Present

Education

Work History