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R

Roman B.

Freelance AI Data Trainer & Annotator (Remote)

USA flagSan Diego, Usa

Key Skills

Software

Other

Top Subject Matter

AI/ML training data for NLP and transcript QA
Audio transcription datasets for AI/NLP
Computer vision image annotation for training

Top Data Types

TextText
AudioAudio
ImageImage
DocumentDocument

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
TranscriptionTranscription
SegmentationSegmentation

Freelancer Overview

Freelance AI Data Trainer & Annotator (Self-Employed - Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, San Diego State University (2024) and Certificate, UC San Diego Extension (2024). AI-training focus includes data types such as Text, Audio, and Image and labeling workflows including Entity (NER) Classification, Transcription, and Segmentation.

Labeling Experience

Freelance AI Data Trainer & Annotator (Remote)

OtherDocumentDocumentSegmentationSegmentation

Conducted RLHF-oriented evaluation and feedback-related tasks by checking LLM and transcript outputs against task guidelines. Assessed responses for accuracy, safety, and compliance with client style requirements. Performed iterative review cycles to improve overall quality and reduce inconsistencies. • Evaluated model outputs for guideline alignment • Flagged and corrected errors to meet safety and quality standards • Ensured consistent adherence to style and formatting instructions • Performed repeated QA passes across annotation batches

2023 - Present

Freelance AI Data Trainer & Annotator (Remote)

OtherAudioAudioTranscriptionTranscription

Provided audio-to-text transcription services with strict formatting requirements suitable for AI training and downstream analysis. Work included verbatim and clean-read transcription, speaker labeling, time-stamping, and multi-accent handling. Transcripts were reviewed and corrected to ensure accuracy and consistency with platform-specific punctuation and style guides. • Speaker-labeled transcripts with time stamps • Verbatim and clean-read transcription variants • Proper noun recognition and punctuation correction per style guidelines • QA passes to resolve transcription errors and ensure consistency

2023 - Present

Freelance AI Data Trainer & Annotator (Remote)

OtherTextTextEntity (NER) ClassificationEntity (NER) Classification

Freelance work developing and curating AI/ML training datasets for large language model fine-tuning and evaluation. Responsibilities included NER, sentiment labeling, intent classification, semantic tagging, and RLHF feedback-related text labeling. Tasks also involved reviewing and correcting AI-generated transcripts and LLM outputs for accuracy, safety, and alignment with client style guidelines. • LLM output evaluation for tone, accuracy, safety, and guideline adherence • Correction of transcripts and verbatim/clean-read formatting with speaker labels • Support for fine-tuning dataset quality via QA and consistency checks • Research/report writing tied to labeling outputs and dataset documentation

2023 - Present

Education

U

UC San Diego Extension

Certificate, Full-Stack Web Development

Certificate
2024 - 2024
O

Online Coursework

Coursework Certificate, Interactive Media and Game Development

Coursework Certificate
2023 - 2024

Work History

R

Remote

Freelance AI Data Trainer & Annotator · Self-Employed

Location not specified
2023 - Present
S

Self-Employed

Freelance Consultant

San Diego
2023 - Present