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Nathan Fisher

Nathan Fisher

Data Annotator/QA/Content Review/Red Teamer

USA flagWilbraham, Usa
$18.00/hrExpertOtherAppenLabelbox

Key Skills

Software

Other
AppenAppen
LabelboxLabelbox
MercorMercor
Scale AIScale AI

Top Subject Matter

General Images / AI Training
English Speech / Voice AI
Legal Services & Contract Review

Top Data Types

ImageImage
AudioAudio
TextText
DocumentDocument

Top Task Types

Audio RecordingAudio Recording
Bounding BoxBounding Box
Red TeamingRed Teaming

Freelancer Overview

Photo Rater, Telus International. Brings 14+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Telus and Other. Education includes Bachelor of Business Administration, University of Massachusetts (2016) and High School Diploma, Wilbraham and Monson Academy (2013). AI-training focus includes data types such as Image and Audio and labeling workflows including Evaluation, Rating, and Audio Recording.

ExpertEnglish

Labeling Experience

Telus

Photo Rater, Telus International

TelusImage
As a Photo Rater at Telus International, I annotated photos to support Google AI data processing tasks. I regularly submitted between 500 and 600 annotation tasks per session, contributing to the quality and robustness of AI training datasets. My work focused on consistent application of standardized data labeling protocols and careful attention to detail. • Performed quality assessment and annotation of image data for AI. • Maintained productivity quotas with precision and consistency. • Ensured all photo annotations met project guidelines and specifications. • Collaborated with the Telus team to refine annotation workflows.

As a Photo Rater at Telus International, I annotated photos to support Google AI data processing tasks. I regularly submitted between 500 and 600 annotation tasks per session, contributing to the quality and robustness of AI training datasets. My work focused on consistent application of standardized data labeling protocols and careful attention to detail. • Performed quality assessment and annotation of image data for AI. • Maintained productivity quotas with precision and consistency. • Ensured all photo annotations met project guidelines and specifications. • Collaborated with the Telus team to refine annotation workflows.

2023 - Present

Red Teamer for Mercure

ImageEvaluation Rating
Red teaming for LLM's based on rubric scoring, flagging, and prompt evaluation.

Red teaming for LLM's based on rubric scoring, flagging, and prompt evaluation.

2025 - 2026

English generalist

AudioData Collection
Providing voice annotations measuring white noise, mic clipping, background noise, on topic discussions around prompts.

Providing voice annotations measuring white noise, mic clipping, background noise, on topic discussions around prompts.

2025 - 2026

Content Review/QA

ImageBounding Box
Annotating photos, drawing bounding boxes, impainting masks, comparing reconstructions, transcribing video content, testing AI on spatial reasoning, logical reasoning, etc.

Annotating photos, drawing bounding boxes, impainting masks, comparing reconstructions, transcribing video content, testing AI on spatial reasoning, logical reasoning, etc.

2025 - 2026

English audio-recorder, LG Soundworks

OtherAudioAudio Recording
As an English audio-recorder at LG Soundworks, I recorded over 4,000 English words for AI voice recognition software. These recordings were implemented in appliances, automotive systems, and AI-powered household devices. Strict guidelines were followed to ensure all data met linguistic and technical requirements. • Produced high-quality audio samples for machine learning. • Worked with a range of scripts covering varied subject matters. • Collaborated with engineers to optimize recording protocols. • Conducted recordings for integration with speech recognition models.

As an English audio-recorder at LG Soundworks, I recorded over 4,000 English words for AI voice recognition software. These recordings were implemented in appliances, automotive systems, and AI-powered household devices. Strict guidelines were followed to ensure all data met linguistic and technical requirements. • Produced high-quality audio samples for machine learning. • Worked with a range of scripts covering varied subject matters. • Collaborated with engineers to optimize recording protocols. • Conducted recordings for integration with speech recognition models.

2019 - 2020

Education

U

University of Massachusetts

Bachelor of Business Administration, Political Science

Bachelor of Business Administration
2016 - 2016
W

Wilbraham and Monson Academy

High School Diploma, General Education

High School Diploma
2011 - 2013

Work History

L

Lee and No Guesthouse

Hotel Cleaning Manager

Yeonnam-dong, Mapo-gu, Seoul
2020 - Present
N

Nvoim

English Tutor

Gwangjin-gu, Seoul
2020 - Present