For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

LoginCreate account
Invite to Job
Mark Galli

Mark Galli

Global Network Analyst - IT Infrastructure

UNITED_KINGDOM flag
Kidderminster, United Kingdom
$18.00/hrIntermediateOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

DocumentDocument
ImageImage
TextText
VideoVideo

Top Label Types

Action Recognition
Audio Recording
Bounding Box
Classification
Data Collection
Emotion Recognition
Evaluation Rating
Object Detection
Prompt Response Writing SFT
Question Answering
Text Generation
Text Summarization
Transcription

Freelancer Overview

With 9 years of IT experience managing complex global networks and large-scale data operations, I bring a strong foundation in data handling, process optimization, and automation to data labeling and AI training data roles. My work supporting seamless data ingestion for over 500,000 IoT devices has given me hands-on experience with data flows, edge connectivity, and ensuring data accuracy and availability at scale. I have leveraged tools like Terraform for automation, maintained high standards in security and compliance, and created clear technical documentation and SOPs to standardize processes and improve data quality. My background in communicating technical concepts to non-technical stakeholders and mentoring teams ensures I can contribute to high-quality, reliable AI training datasets, whether the focus is on annotation, data integrity, or process improvement. I am committed to continuous learning and delivering business value through precise and innovative data operations.

IntermediateEnglish

Labeling Experience

Text-to-Image alignment

OtherTextBounding BoxObject Detection
I have worked on projects involving Text-to-Image alignment, where I annotate visual outputs for "prompt adherence." This involves labeling specific discrepancies between a written description and the generated visual, ensuring that details like lighting, spatial positioning, and character consistency are accurately rendered.

I have worked on projects involving Text-to-Image alignment, where I annotate visual outputs for "prompt adherence." This involves labeling specific discrepancies between a written description and the generated visual, ensuring that details like lighting, spatial positioning, and character consistency are accurately rendered.

2025 - 2025

Text-to-Video Alignment

OtherVideoObject DetectionEvaluation Rating
I have worked on projects involving Text-to-Video alignment, where I annotate visual outputs for "prompt adherence." This involves labeling specific discrepancies between a written description and the generated visual, ensuring that details like lighting, spatial positioning, and character consistency are accurately rendered.

I have worked on projects involving Text-to-Video alignment, where I annotate visual outputs for "prompt adherence." This involves labeling specific discrepancies between a written description and the generated visual, ensuring that details like lighting, spatial positioning, and character consistency are accurately rendered.

2025

Image Prompt Evaluation

OtherImageBounding BoxPoint Key Point
I have experience in prompt evaluation based on source to output image. The LLM would be given a prompt to edit source input photos and I would score and correct the output result to assist with the development of the LLM

I have experience in prompt evaluation based on source to output image. The LLM would be given a prompt to edit source input photos and I would score and correct the output result to assist with the development of the LLM

2025 - 2025

Entity Recognition & Linguistic Tagging

OtherTextEntity Ner Classification
I have hands on experience with Named Entity Recognition (NER) and part-of-speech tagging. This includes high detail projects like the 'Animal Annotation' task, where I used custom syntax to highlight specific categories within dense prose to improve a model's extraction capabilities.

I have hands on experience with Named Entity Recognition (NER) and part-of-speech tagging. This includes high detail projects like the 'Animal Annotation' task, where I used custom syntax to highlight specific categories within dense prose to improve a model's extraction capabilities.

2025 - 2025

Reinforcement Learning from Human Feedback

OtherTextRLHF
A significant portion of my expertise lies in Ranking and Grading model responses. I have participated in Red Teaming and Truthfulness projects where I label responses based on: Factuality: Identifying and correcting subtle hallucinations. Tone & Style: Annotating prose to ensure it meets specific "persona" requirements (e.g., professional, witty, or empathetic). Safety: Labeling content that violates ethical guidelines or contains biased language.

A significant portion of my expertise lies in Ranking and Grading model responses. I have participated in Red Teaming and Truthfulness projects where I label responses based on: Factuality: Identifying and correcting subtle hallucinations. Tone & Style: Annotating prose to ensure it meets specific "persona" requirements (e.g., professional, witty, or empathetic). Safety: Labeling content that violates ethical guidelines or contains biased language.

2025 - 2025

Education

U

University of Northampton

Bachelor of Arts with Honours, Acting

Bachelor of Arts with Honours
2010 - 2013

Work History

R

Rentokil Initial

Global Network Analyst

Crawley
2024 - Present
R

Reynolds & Reynolds

Network & Server Administrator

Birmingham
2017 - 2024