For employers

Hire this AI Trainer

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

Invite to Job
C

Collins Nyamote

AI Data Specialist (Remote) | AI Innovation Lab

Kenya flagMemphis, Kenya
$4.00/hrExpertLabelboxOther

Key Skills

Software

LabelboxLabelbox
Other

Top Subject Matter

Computer Vision
Object Detection
Semantic Segmentation

Top Data Types

ImageImage
TextText
AudioAudio

Top Task Types

Bounding BoxBounding Box
TranscriptionTranscription
ClassificationClassification
SegmentationSegmentation
Point/Key PointPoint/Key Point
Object DetectionObject Detection

Freelancer Overview

AI Data Specialist (Remote) | AI Innovation Lab. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Internal, and Proprietary Tooling. Education includes Bachelor of Science, KCA University (2025). AI-training focus includes data types such as Image, Text, and Audio and labeling workflows including Bounding Box, Evaluation, and Rating.

ExpertEnglishSwahili

Labeling Experience

AI Data Specialist (Remote) | AI Innovation Lab

OtherAudioTranscription
I transcribed multilingual audio datasets, specifically Oromo and English, for use in AI and speech processing models. High accuracy and attention to linguistic details were essential. My transcriptions supported the development of robust speech-to-text algorithms. • Transcribed audio clips in Oromo and English for model training. • Ensured high accuracy and linguistic fidelity. • Worked with diverse and challenging audio datasets. • Provided transcripts to enhance speech recognition AI systems.

I transcribed multilingual audio datasets, specifically Oromo and English, for use in AI and speech processing models. High accuracy and attention to linguistic details were essential. My transcriptions supported the development of robust speech-to-text algorithms. • Transcribed audio clips in Oromo and English for model training. • Ensured high accuracy and linguistic fidelity. • Worked with diverse and challenging audio datasets. • Provided transcripts to enhance speech recognition AI systems.

2024 - Present

AI Data Specialist (Remote) | AI Innovation Lab

Text
I performed pairwise ranking of LLM responses for natural language processing training purposes. Using specialized comparison tools, I evaluated the quality and relevance of generated text outputs. My work contributed to ongoing improvements in large language model performance. • Ranked and evaluated LLM-generated responses in NLP tasks. • Focused on pairwise judgment and relative response quality. • Used internal/proprietary comparison software tools. • Assisted in fine-tuning models based on evaluation output.

I performed pairwise ranking of LLM responses for natural language processing training purposes. Using specialized comparison tools, I evaluated the quality and relevance of generated text outputs. My work contributed to ongoing improvements in large language model performance. • Ranked and evaluated LLM-generated responses in NLP tasks. • Focused on pairwise judgment and relative response quality. • Used internal/proprietary comparison software tools. • Assisted in fine-tuning models based on evaluation output.

2024 - Present
Labelbox

AI Data Specialist (Remote) | AI Innovation Lab

LabelboxImageBounding Box
I annotated large datasets for machine learning models focused on object detection and computer vision tasks. I utilized Labelbox and CVAT to apply bounding boxes and polygons to images. Quality assurance was implemented through pairwise comparisons to ensure annotation precision. • Labeled images for object detection using bounding boxes and polygons. • Conducted pairwise comparison for quality assurance of labeled data. • Used Labelbox and CVAT as primary annotation tools. • Ensured data met high standards for AI model training.

I annotated large datasets for machine learning models focused on object detection and computer vision tasks. I utilized Labelbox and CVAT to apply bounding boxes and polygons to images. Quality assurance was implemented through pairwise comparisons to ensure annotation precision. • Labeled images for object detection using bounding boxes and polygons. • Conducted pairwise comparison for quality assurance of labeled data. • Used Labelbox and CVAT as primary annotation tools. • Ensured data met high standards for AI model training.

2024 - Present

Education

K

KCA University

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2025

Work History

T

Tech Solutions Inc.

Software Developer Intern

Memphis
2024 - 2024
K

KCA University

IT Support Specialist

Nairobi
2023 - 2024