Peter M.

Key Skills

Software

Remotasks

Clickworker

Toloka

Top Subject Matter

Computer Vision (Object Detection)

NLP (Text Classification & Sentiment)

Audio Transcription & Audio Classification

Top Data Types

Image

Text

Audio

Document

Top Task Types

Bounding Box

Classification

Transcription

Freelancer Overview

Data Labeler / Annotation Specialist (Freelance) — Remotasks. Brings 2+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Remotasks. Education includes Bachelor’s Degree in Computer Science, Kisii University. AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Classification, and Transcription.

Labeling Experience

Data Labeler / Annotation Specialist (Freelance) — Remotasks

RemotasksAudioTranscription

Transcribed and classified audio data to create supervised training data for machine learning models. Applied phonetic precision and strict compliance with linguistic and project-specific guidelines during annotation. Used consistent labeling practices to improve accuracy and reduce errors in audio-to-text mappings.• Performed audio transcription with phonetic precision.• Classified audio according to task-defined categories.• Maintained guideline adherence for linguistic correctness.• Ensured high-quality outputs consistent with QC and scoring criteria.

2025 - Present

Data Labeler / Annotation Specialist (Freelance) — Remotasks

RemotasksTextClassification

Labeled and categorized text corpora to support NLP training, including evaluation of AI-generated responses and sentiment analysis. Ensured each annotation adhered to strict labeling guidelines and project-specific taxonomies for consistent model supervision. Completed transcription-adjacent text tasks only as required by the assigned instructions while preserving formatting and annotation fidelity.• Performed text classification tasks (e.g., sentiment analysis) using defined label sets.• Evaluated AI-generated responses and assigned ratings/labels per taxonomy.• Followed complex labeling guidelines for consistent dataset creation.• Produced clean, guideline-compliant annotations for downstream NLP model training.

2025 - Present

Data Labeler / Annotation Specialist (Freelance) — Remotasks

RemotasksImageBounding Box

Provided accurate bounding box, polygon, and semantic labels for image datasets to support object detection and computer vision model training. Evaluated labeling outputs against complex project taxonomies and quality criteria, making adjustments based on guideline updates and QC feedback. Maintained high-quality scoring metrics and consistent throughput while labeling large volumes of visual assets.• Applied bounding boxes and polygons according to task-specific requirements.• Performed semantic labeling for object categories and related attributes.• Followed policy and guideline adherence to minimize label noise.• Responded to evolving rules and quality-control comments to improve accuracy.

2025 - Present

Education

Work History