Peter A.

Key Skills

Software

Remotasks

Labelbox

CVAT

Label Studio

Top Subject Matter

AI Model Training

Computer Vision

LLM Evaluation

Top Data Types

Video

Image

Text

Document

Audio

Top Task Types

RLHF

Bounding Box

Classification

Freelancer Overview

AI Quality & Data Labeling Specialist. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, CVAT, and Remotasks. Education includes Bachelor of Arts, Delta State University (2023) and Senior Secondary School Certificate, Apex Academy (2015). AI-training focus includes data types such as Video, Image, and Text and labeling workflows including RLHF, Bounding Box, and Evaluation.

Labeling Experience

Audio Data Annotation Specialist

Label StudioAudioClassification

Labeled and classified audio data for speech and event recognition projects to support machine learning development. Conducted thorough quality assurance checks on audio annotations for consistency and reliability. Collaborated in the management of large-scale audio datasets, ensuring labeling standards were upheld. • Performed rubric-based review of audio segments for event correctness. • Documented labeling inconsistencies and participated in error correction. • Used Label Studio and proprietary labeling tools. • Enabled improvements in speech recognition and audio event detection models.

2024 - 2026

LLM Text Data Evaluator/Ranker

RemotasksText

Evaluated AI-generated text outputs using RLHF and LLM evaluation protocols to assess safety, accuracy, and adherence to instructions. Rated and ranked model responses, providing linguistic quality assurance to guide model improvements. Documented inconsistencies and annotation errors for iterative re-labeling and guideline refinement. • Applied rubric-based evaluation metrics for label consistency. • Provided detailed feedback to optimize model output quality. • Supported large-scale text annotation initiatives in distributed teams. • Leveraged Markup and RLHF evaluation tools within Remotasks workflows.

2024 - 2026

Computer Vision Quality Control Annotation Specialist

CVATImageBounding Box

Performed pixel-precise bounding box and polygon annotation for image datasets in computer vision projects. Conducted quality audits and semantic segmentation to ensure dataset integrity and high annotation accuracy. Reviewed and corrected model-assisted labeling outputs for efficiency and quality improvement. • Applied and interpreted rigorous annotation guidelines and taxonomies. • Ensured pixel-level precision in bounding boxes and segmentation tasks. • Participated in continual error detection and feedback refinement loops. • Used CVAT and Labelbox as main annotation and QA platforms.

2024 - 2026

AI Quality & Data Labeling Specialist

LabelboxVideoRLHF

Responsible for video annotation tasks utilizing frame-by-frame analysis and event tagging workflows. Performed side-by-side evaluations of LLM-generated responses for factual accuracy, safety, and coherence according to project rubrics. Reviewed and corrected AI- or model-generated pre-annotations to maintain label consistency and dataset quality. • Interpreted complex annotation guidelines and enforced taxonomy compliance. • Conducted error detection and implemented feedback loops for data labeling improvements. • Used high-fidelity QA processes to ensure 98%+ accuracy across multimodal datasets. • Collaborated with distributed teams to meet deadlines and productivity benchmarks.

2024 - 2026

Education

Work History