Ani Peace

Key Skills

Software

Scale AI

Appen

Surge AI

SuperAnnotate

Top Subject Matter

Large Language Model Training

Nlp Domain Expertise

Model Evaluation

Top Data Types

Text

Image

Audio

Document

Top Task Types

RLHF

Bounding Box

Transcription

Freelancer Overview

Senior Data Annotator & RLHF Specialist. Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Scale AI, Appen, and Surge AI. Education includes Bachelor of Science, Federal Polytechnic Bauchi (2022). AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including RLHF, Bounding Box, and Transcription.

Labeling Experience

Senior Data Annotator & RLHF Specialist

Scale AITextRLHF

This role involved leading annotation projects for LLM fine-tuning and reinforcement learning from human feedback. Daily responsibilities included evaluating model-generated text responses for attributes like helpfulness, harmlessness, factuality, and instructions adherence. High-volume text data was annotated for diverse NLP tasks such as coreference resolution and toxicity detection. • Rated and ranked LLM outputs • Performed entity and relationship classification • Wrote and rewrote model prompts • Maintained a personal quality score of 98.2%

This role involved leading annotation projects for LLM fine-tuning and reinforcement learning from human feedback. Daily responsibilities included evaluating model-generated text responses for attributes like helpfulness, harmlessness, factuality, and instructions adherence. High-volume text data was annotated for diverse NLP tasks such as coreference resolution and toxicity detection. • Rated and ranked LLM outputs • Performed entity and relationship classification • Wrote and rewrote model prompts • Maintained a personal quality score of 98.2%

2022 - Present

Image & Video Labeling Specialist

AppenImageBounding Box

This position focused on image and video dataset annotation for autonomous vehicles and emotion AI. Annotations included bounding boxes, polygons, lane marking, pedestrian key point, and action recognition with top-tier accuracy. The role demanded fast, high-volume output using CVAT and proprietary tools for emotion and autonomous driving applications. • Labeled facial expression and gesture data • Performed action and emotion classification • Reviewed other annotators' work • Audited flagged edge cases and disagreements

This position focused on image and video dataset annotation for autonomous vehicles and emotion AI. Annotations included bounding boxes, polygons, lane marking, pedestrian key point, and action recognition with top-tier accuracy. The role demanded fast, high-volume output using CVAT and proprietary tools for emotion and autonomous driving applications. • Labeled facial expression and gesture data • Performed action and emotion classification • Reviewed other annotators' work • Audited flagged edge cases and disagreements

2021 - 2022

Audio Transcription & QA Analyst

Surge AIAudioTranscription

This role consisted of transcribing audio data for automatic speech recognition (ASR) model training across multiple languages and accents. Quality assurance on peer annotations was performed, correcting errors in punctuation, speaker labeling, and specialized vocabulary. The projects supported the expansion of ASR for Nigerian and West African languages as well as global English. • Delivered high-accuracy transcripts • Performed QA on peer work • Worked with multilingual audio datasets • Enhanced low-resource language ASR

This role consisted of transcribing audio data for automatic speech recognition (ASR) model training across multiple languages and accents. Quality assurance on peer annotations was performed, correcting errors in punctuation, speaker labeling, and specialized vocabulary. The projects supported the expansion of ASR for Nigerian and West African languages as well as global English. • Delivered high-accuracy transcripts • Performed QA on peer work • Worked with multilingual audio datasets • Enhanced low-resource language ASR

2020 - 2021

Education

Work History