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S
Sam

Sam

Data Annotation Contractor - DataAnnotation

United Kingdom flagLiverpool, United Kingdom

Key Skills

Software

Don't disclose

Top Subject Matter

AI model response evaluation and quality assessment
Final year physics

Top Data Types

TextText
ImageImage

Top Task Types

ClassificationClassification
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Red TeamingRed Teaming
TranscriptionTranscription
Evaluation/RatingEvaluation/Rating

Freelancer Overview

Data Annotation Contractor - DataAnnotation. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose. Education includes Bachelor of Science, Honours, The Open University (2023) and Pearson BTEC Level 3 Diploma, North West Training Council (2022). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation and Rating.

Labeling Experience

Data Annotation Contractor (

ImageImage

No description provided.

2024 - Present

Data Annotation Contractor - DataAnnotation

ImageImage

You served as a data annotation contractor, training and evaluating AI model responses across multiple projects. You created and applied rubrics and prompts to guide consistent assessment of response quality. The work required strong written communication, critical judgment, and attention to accuracy through fact-checking against provided sources. • Rated model responses using predefined axes and written justifications • Designed rubrics and edited prompts to elicit and address model failures • Fact-checked responses and ensured alignment with provided sources • Reviewed other annotators’ work, correcting submissions and providing feedback

2024 - Present

Data Annotation Contractor — Data Annotation (2024–Present)

Don't discloseTextText

Provided AI model response ratings using predefined axes and documented written justifications for each evaluation. Built and applied rubrics to assess how well responses matched expected criteria and optimal answers. Generated and refined prompts to reproduce model failures, then reviewed corrected outputs and checked alignment with source material. • Rated model adherence against rubric criteria • Wrote justification notes for each rating decision • Fact-checked responses against provided sources • Reviewed other annotators’ work and provided corrective feedback

2024 - Present

Education

N

North West Training Council

Pearson BTEC Level 3 Diploma, Electrical and Electronic Engineering

Pearson BTEC Level 3 Diploma
2018 - 2022
T

The Open University

Bachelor of Science, Honours, Physics

Bachelor of Science, Honours
2023

Work History

D

DataAnnotation

Data Annotation Contractor

N/A
2024 - Present
U

University of Liverpool

Apprentice Electrical Technician

Liverpool
2018 - 2022