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Jesse Amiandah

Jesse Amiandah

AI Model Trainer - Multilingual Data Annotation

KENYA flag
Mombasa, Kenya
$25.00/hrIntermediateClickworkerMercorOneforma

Key Skills

Software

ClickworkerClickworker
MercorMercor
OneFormaOneForma
SuperAnnotateSuperAnnotate
TolokaToloka
TelusTelus
Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
VideoVideo

Top Label Types

Bounding Box
Polygon
Point Key Point
Segmentation
Object Detection
Entity Ner Classification
Action Recognition
Tracking

Freelancer Overview

I am a bilingual AI model trainer and data annotation specialist with over two years of hands-on experience in LLM evaluation, RLHF workflows, red teaming, and supervised fine-tuning for both text and video data. My expertise covers factual accuracy assessment, adversarial prompt testing, hallucination auditing, and multilingual annotation in English and Swahili, making me especially effective for low-resource language projects. I have contributed to AI training pipelines at companies like Micro1, Mercor, and Magic, consistently maintaining high labeling accuracy and strict adherence to SOPs. My technical background in full stack development, DevOps, and research data systems enables me to evaluate AI-generated code, manage data pipelines, and ensure high-quality, reliable datasets. I am passionate about improving model safety, alignment, and performance across diverse domains, and am adept with tools such as Google Colab, KoboToolbox, Survey123, and a range of annotation platforms.

IntermediateEnglishSwahili

Labeling Experience

Video Labeling and Segmentation

OtherVideoEntity Ner ClassificationSegmentation
Performed video labeling and segmentation tasks using Atlas Capture, applying segment-level annotations, action recognition labels, and classification tags across video datasets. Maintained strict timestamp precision and consistency standards across all submissions ensuring high quality output for downstream AI model training pipelines.Validated data accuracy from distributed survey platforms.Applied schema enforcement and consistency checks to large-scale datasets. Structured and cleaned text data for further analysis. • Supported accurate data input for subsequent AI modeling tasks.

Performed video labeling and segmentation tasks using Atlas Capture, applying segment-level annotations, action recognition labels, and classification tags across video datasets. Maintained strict timestamp precision and consistency standards across all submissions ensuring high quality output for downstream AI model training pipelines.Validated data accuracy from distributed survey platforms.Applied schema enforcement and consistency checks to large-scale datasets. Structured and cleaned text data for further analysis. • Supported accurate data input for subsequent AI modeling tasks.

2025

Image Annotation

OtherImageBounding BoxPolygon
Performed image annotation tasks on the Turing platform applying bounding boxes, polygon segmentation, keypoint labeling, and object detection annotations across large-scale image datasets. Maintained high labeling accuracy and adherence to strict annotation guidelines, contributing to computer vision model training pipelines.

Performed image annotation tasks on the Turing platform applying bounding boxes, polygon segmentation, keypoint labeling, and object detection annotations across large-scale image datasets. Maintained high labeling accuracy and adherence to strict annotation guidelines, contributing to computer vision model training pipelines.

2025

Robotics Training Data Annotation

OtherVideoBounding BoxPolygon
Annotated image and video datasets for robotics model training at Micro1, applying bounding boxes, polygon segmentation, keypoint labeling, and object detection annotations to support robot perception and navigation systems. Enforced consistency and accuracy across large-scale datasets against strict SOP requirements. Contributed to action recognition and object tracking tasks critical for robotic motion planning and environment interaction workflows.

Annotated image and video datasets for robotics model training at Micro1, applying bounding boxes, polygon segmentation, keypoint labeling, and object detection annotations to support robot perception and navigation systems. Enforced consistency and accuracy across large-scale datasets against strict SOP requirements. Contributed to action recognition and object tracking tasks critical for robotic motion planning and environment interaction workflows.

2025 - 2025

Education

T

Technical University of Mombasa

Bachelor of Science, Information Technology

Bachelor of Science
2019 - 2023

Work History

F

Freelance

Full Stack Developer

Remote
2023 - Present
T

testIO

Manual QA Tester

Remote
2023 - Present