Raluca Moldovan

Key Skills

Software

Appen

CrowdSource

Mercor

OneForma

Scale AI

Telus

Other

Top Subject Matter

LLM Prompt Engineering and Evaluation

Speech Data Collection for AI

Transcription for NLP/AI Training

Top Data Types

Audio

Image

Text

Video

Top Task Types

Action Recognition

Audio Recording

Classification

Data Collection

Entity Ner Classification

Evaluation Rating

Object Detection

Prompt Response Writing SFT

Question Answering

RLHF

Text Generation

Text Summarization

Transcription

Translation Localization

Freelancer Overview

AI Writer | QA Reviewer | Data Annotator (Independent Contractor). Core strengths include Mercor, Outlier, and Outliner. AI-training focus includes data types such as Text and Audio and labeling workflows including Prompt + Response Writing (SFT), Audio Recording, and Transcription.

Labeling Experience

Italian Writer

MercorTextTranslation LocalizationPrompt Response Writing SFT

Localization and writing prompts

Localization and writing prompts

2025 - Present

Audio Trainer

Scale AIAudioAudio Recording

Audio recording prompts italian, english and romanian languages

Audio recording prompts italian, english and romanian languages

2024

Data Annotator (Independent Contractor)

OneformaTextData Collection

Worked as a Data Annotator collecting and validating text data for natural language understanding. This role involved enriching datasets through careful selection, categorization, and annotation. I ensured consistency and completeness in all submitted data to optimize AI model performance. • Gathered text samples for labeling • Applied annotation labels per detailed guidelines • Participated in dataset quality control and QA processes • Supported multi-platform data alignment and review.

Worked as a Data Annotator collecting and validating text data for natural language understanding. This role involved enriching datasets through careful selection, categorization, and annotation. I ensured consistency and completeness in all submitted data to optimize AI model performance. • Gathered text samples for labeling • Applied annotation labels per detailed guidelines • Participated in dataset quality control and QA processes • Supported multi-platform data alignment and review.

2022 - Present

Transcriber (Independent Contractor)

TextTranscription

Performed high-accuracy transcription and text normalization of audio data for use in language model training. Tasks required careful adherence to guidelines and precision across multiple languages. Transcribed output supported AI learning by providing clean, structured datasets for model ingestion. • Transcribed audio data to accurate text • Normalized text following strict rubrics • Reviewed and corrected automated transcriptions • Delivered multilingual outputs as needed.

Performed high-accuracy transcription and text normalization of audio data for use in language model training. Tasks required careful adherence to guidelines and precision across multiple languages. Transcribed output supported AI learning by providing clean, structured datasets for model ingestion. • Transcribed audio data to accurate text • Normalized text following strict rubrics • Reviewed and corrected automated transcriptions • Delivered multilingual outputs as needed.

2022 - Present

Voice Prompt Contributor (Independent Contractor)

AudioAudio Recording

Contributed to AI model development through voice data collection and audio prompt-based recordings. Preparation and submission of diverse speech samples enhanced language model training capabilities. Careful attention was paid to clarity, pronunciation, and proper labeling of acoustic data. • Recorded voice samples as prompted by platform • Labeled audio data for correct metadata association • Ensured proper multilingual representation in datasets • Complied with quality and ethical guidelines for audio data collection.

Contributed to AI model development through voice data collection and audio prompt-based recordings. Preparation and submission of diverse speech samples enhanced language model training capabilities. Careful attention was paid to clarity, pronunciation, and proper labeling of acoustic data. • Recorded voice samples as prompted by platform • Labeled audio data for correct metadata association • Ensured proper multilingual representation in datasets • Complied with quality and ethical guidelines for audio data collection.

2022 - Present

Show more

Education

Work History