Mark Cauchi

Key Skills

Software

Appen

Clickworker

CrowdSource

HiveMind

iMerit

Mercor

OneForma

Remotasks

Scale AI

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Document

Image

Text

Top Label Types

Audio Recording

Classification

Evaluation Rating

Mapping

Text Summarization

Freelancer Overview

I have over two years' experience contributing to AI training datasets across multiple modalities, including text, image, and audio annotation. My background includes tasks such as classification, sentiment and intent analysis, entity extraction, transcription, search-relevance evaluation, and quality-assurance review. I am proficient with major industry annotation platforms used by companies such as Appen, Telus, Mercor, and Scale AI, and I am comfortable working within strict guidelines and multi-stage workflow environments. I bring strong analytical skills, excellent written communication, and the ability to maintain high accuracy and consistency across large volumes of work. What distinguishes my experience is a combination of technical literacy and academic training. With postgraduate qualifications in philosophy, history, and social science, I am skilled at interpreting complex text, recognising nuance, and making precise semantic judgments: capabilities that directly enhance the quality of AI training data. I also have experience working independently and remotely, meeting deadlines, and following rigorous instructions with minimal supervision. This mix of subject-matter expertise, careful attention to detail, and disciplined work habits makes me particularly effective in high-precision data-labelling and model-evaluation projects.

Labeling Experience

Political Bias Evaluation & General Text Annotation

MercorTextEvaluation RatingPrompt Response Writing SFT

Conducted detailed political-bias assessments on news articles, opinion pieces, and social-media content, identifying ideological leaning, argument framing, and rhetorical patterns. Performed general text-annotation tasks including sentiment tagging, stance detection, argument quality assessment, and classification across multiple taxonomies. Maintained high accuracy in nuanced political contexts by applying strong critical-reading skills and consistent interpretation of annotation guidelines.

Conducted detailed political-bias assessments on news articles, opinion pieces, and social-media content, identifying ideological leaning, argument framing, and rhetorical patterns. Performed general text-annotation tasks including sentiment tagging, stance detection, argument quality assessment, and classification across multiple taxonomies. Maintained high accuracy in nuanced political contexts by applying strong critical-reading skills and consistent interpretation of annotation guidelines.

2025 - 2025

Media Content Annotation & Geo-Mapping Analysis

TelusImageMapping

Completed large-scale media-annotation tasks involving content categorisation, safety filtering, and metadata tagging for images, videos, and news media. Contributed to geo-mapping and location-intelligence projects by analysing map data, evaluating image relevance for specific coordinates, and verifying local business or landmark information. Ensured precision through rigorous cross-referencing, spatial-awareness checks, and clear documentation of judgments.

Completed large-scale media-annotation tasks involving content categorisation, safety filtering, and metadata tagging for images, videos, and news media. Contributed to geo-mapping and location-intelligence projects by analysing map data, evaluating image relevance for specific coordinates, and verifying local business or landmark information. Ensured precision through rigorous cross-referencing, spatial-awareness checks, and clear documentation of judgments.

2020 - 2022

Data Labelling, Search Evaluation & Transcription

AppenAudioEvaluation Rating

Performed a broad range of data-labelling projects including text categorisation, search-relevance evaluation, quality assessment, and linguistic annotation. Completed audio transcription and speech-segment labelling across varied accents and recording conditions, supporting automatic speech-recognition model development. Demonstrated strong attention to detail and reliability in high-volume workflows with strict accuracy metrics and QA reviews.

Performed a broad range of data-labelling projects including text categorisation, search-relevance evaluation, quality assessment, and linguistic annotation. Completed audio transcription and speech-segment labelling across varied accents and recording conditions, supporting automatic speech-recognition model development. Demonstrated strong attention to detail and reliability in high-volume workflows with strict accuracy metrics and QA reviews.

2019 - 2020

Education

Work History