Ineh E.

Key Skills

Software

Scale AI

Remotasks

Appen

Labelbox

CVAT

Toloka

Other

Top Subject Matter

Natural Language Processing (NLP) / Text Annotation

Computer Vision / Image Segmentation & Labeling

LLM Training / RLHF Response Evaluation

Top Data Types

Text

Image

Audio

Document

Top Task Types

Segmentation

RLHF

Transcription

Freelancer Overview

Freelance & Remote AI Data Annotator (Scale AI/Remotasks/Appen) — NER/Text Labeling. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Remotasks, and Appen. Education includes Bachelor’s Degree, N/A. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER), Segmentation, and RLHF.

Labeling Experience

Freelance & Remote AI Data Annotator — Audio Transcription Labeling

OtherAudioTranscription

Labeled audio data to support machine learning workflows, including transcription-related annotation. Followed strict instructions to capture content accurately and maintain consistency across datasets. Participated in quality review processes to reduce errors and meet client specification requirements. • Annotated/validated audio transcription outputs • Followed guideline-based labeling for accuracy • Performed quality checks for compliance with specifications • Helped ensure high dataset integrity before delivery

Present

Freelance & Remote AI Data Annotator — RLHF (Rating/Ranking)

OtherTextRLHF

Completed RLHF (Reinforcement Learning from Human Feedback) tasks by rating and ranking AI-generated responses to improve alignment, safety, and helpfulness. Used task-specific criteria to ensure consistent evaluations and reliable preference data. Supported quality targets by clarifying labeling ambiguities with QA/project leads when schemas or instructions changed. • Rated and ranked AI responses per RLHF rubric • Ensured consistency with client evaluation guidelines • Flagged edge cases and ambiguity during review • Worked with QA/project leads to maintain throughput

Present

Freelance & Remote AI Data Annotator — Image Segmentation Labeling

LabelboxImageSegmentation

Created image annotations for semantic segmentation tasks to support computer vision model training and fine-tuning. Followed detailed labeling instructions to ensure accurate region boundaries and consistent label application across high-volume data. Conducted review and peer-quality checks to confirm dataset readiness before client delivery. • Produced semantic segmentation labels following guidelines • Labeled images using polygon/region-based approaches • Performed quality assurance checks for boundary consistency • Collaborated to resolve ambiguity and update schema adherence

Present

Freelance & Remote AI Data Annotator (Scale AI/Remotasks/Appen) — NER/Text Labeling

Scale AIText

Annotated named entities within large-scale text datasets using client-provided guidelines to support NLP model training. Performed label validation and quality checks to ensure annotations matched the required schema and handled edge cases consistently. Helped improve downstream model performance by maintaining high annotation accuracy across multiple projects. • Labeled entities for NER tasks following style guides • Identified and flagged inconsistencies in peer annotations • Adapted to updated annotation schemas during QA • Contributed to achieving >95% accuracy rates

Present

Education

Work History