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George Hammond

George Hammond

Senior AI Data Trainer - Artificial Intelligence

GHANA flag
Accra, Ghana
$22.50/hrIntermediateOtherInternal Proprietary Tooling

Key Skills

Software

Other
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

VideoVideo
AudioAudio

Top Label Types

Question Answering
Emotion Recognition
Object Detection
Action Recognition
Text Summarization
Text Generation
Evaluation Rating
Audio Recording
Transcription
RLHF
Fine Tuning

Freelancer Overview

I am an experienced AI data trainer with a strong background in data annotation, evaluation, and training of large language models. In my current role, I generate and curate high-quality conversational data, evaluate AI outputs for factual accuracy, and rigorously test AI models to ensure safety and reliability. My technical skills include HTML, CSS, JavaScript, React, Figma, Adobe Suite, and cloud platforms such as AWS, which support my ability to work efficiently with both structured and unstructured data. I am passionate about collaborating with cross-functional teams, continuously improving training protocols, and leveraging my computer science and business management education to deliver impactful results in AI and data-centric projects.

IntermediateEnglish

Labeling Experience

Multimodal Data Labeling (video)

Don T DiscloseVideoQuestion AnsweringEmotion Recognition
This involves creating high-quality question-and-answer pairs from short video and audio segments. The task requires closely analyzing both visual and audio information to design clear, natural questions that can only be answered by combining what is seen and heard. Responsibilities include ensuring questions are unambiguous, non-trivial, and professionally written, with concise, factual answers in complete sentences. This demands strong attention to detail, good judgment, and the ability to identify meaningful interactions between audio and video to produce reliable, multimodal training data for AI systems.

This involves creating high-quality question-and-answer pairs from short video and audio segments. The task requires closely analyzing both visual and audio information to design clear, natural questions that can only be answered by combining what is seen and heard. Responsibilities include ensuring questions are unambiguous, non-trivial, and professionally written, with concise, factual answers in complete sentences. This demands strong attention to detail, good judgment, and the ability to identify meaningful interactions between audio and video to produce reliable, multimodal training data for AI systems.

2023 - 2024

Multimodla Data Labeling (audio)

Don T DiscloseAudioQuestion AnsweringText Generation
This involves evaluating AI-generated speech by comparing it to a real human reference audio. Followed by an assessment of two model responses against the source recording, deciding which best matches both the spoken content and the vocal delivery. For each decision, clearly written rationales a provided explaining why a response was chosen or why a tie was appropriate. This requires careful listening for words, errors, non-verbal sounds, tone, pacing, and emotional expression, along with strong attention to detail, consistency, and sound judgment to improve the quality and reliability of audio AI systems.

This involves evaluating AI-generated speech by comparing it to a real human reference audio. Followed by an assessment of two model responses against the source recording, deciding which best matches both the spoken content and the vocal delivery. For each decision, clearly written rationales a provided explaining why a response was chosen or why a tie was appropriate. This requires careful listening for words, errors, non-verbal sounds, tone, pacing, and emotional expression, along with strong attention to detail, consistency, and sound judgment to improve the quality and reliability of audio AI systems.

2023

Video Captioning

Don T DiscloseVideoRLHFFine Tuning
This involves improving AI-generated video captions by carefully reviewing short video clips and correcting or enhancing model-written descriptions. It includes triaging videos for eligibility, identifying harmful or out-of-scope content, and closely analyzing visual details such as actions, objects, spatial relationships, and camera attributes. There is also an addition of accurate timestamps, selection of camera motion, shot, and angles, and clear, human-written descriptions that remove errors, assumptions, and hallucinations will be produced. This requires strong visual analysis, attention to detail, and the ability to translate complex scenes into precise, structured descriptions that improve multimodal AI understanding.

This involves improving AI-generated video captions by carefully reviewing short video clips and correcting or enhancing model-written descriptions. It includes triaging videos for eligibility, identifying harmful or out-of-scope content, and closely analyzing visual details such as actions, objects, spatial relationships, and camera attributes. There is also an addition of accurate timestamps, selection of camera motion, shot, and angles, and clear, human-written descriptions that remove errors, assumptions, and hallucinations will be produced. This requires strong visual analysis, attention to detail, and the ability to translate complex scenes into precise, structured descriptions that improve multimodal AI understanding.

2024 - 2025

Education

A

ALX

Certificate, Cloud Computing

Certificate
2023 - 2024
T

The University of Bolton

Master of Business Administration, Business Administration

Master of Business Administration
2020 - 2021

Work History

M

Meridial by Invisible Technologies

Senior AI Data Trainer

Remote
2023 - Present
L

Let's Verify

Phone Verification Specialist

Kyiv
2022 - 2023