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Eliakim Atamba

Eliakim Atamba

AI Systems Consultant: LLM Evaluation & RLHF Feedback Pipeline

Kenya flagNairobi, Kenya
$35.00/hrExpertAppenClickworkerCrowdsource

Key Skills

Software

AppenAppen
ClickworkerClickworker
CrowdSourceCrowdSource
HiveMindHiveMind
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
Deep SystemsDeep Systems
Other

Top Subject Matter

LLM Alignment & AI Evaluation
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

Computer Code ProgrammingComputer Code Programming
TextText
DocumentDocument

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Fine-tuningFine-tuning
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
RLHFRLHF

Freelancer Overview

AI Systems Consultant: LLM Evaluation & RLHF Feedback Pipeline. Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Science, Jomo Kenyatta University of Agriculture and Technology (2021). AI-training focus includes data types such as Text and labeling workflows including RLHF.

ExpertEnglish

Labeling Experience

AI Data Labeling & Annotation Specialist

TextBounding Box
Worked on AI training datasets for machine learning model development. Tasks included annotating text data for classification and structured labeling, as well as bounding-box image annotations for object detection. Managed multi-step labeling workflows using Python scripts, Jupyter notebooks, and reproducibility checks to ensure high-quality outputs. Verified labels through systematic quality control protocols and documented standards for consistency. Project involved several thousand entries, ensuring datasets were clean, structured, and ready for model training and evaluation.

Worked on AI training datasets for machine learning model development. Tasks included annotating text data for classification and structured labeling, as well as bounding-box image annotations for object detection. Managed multi-step labeling workflows using Python scripts, Jupyter notebooks, and reproducibility checks to ensure high-quality outputs. Verified labels through systematic quality control protocols and documented standards for consistency. Project involved several thousand entries, ensuring datasets were clean, structured, and ready for model training and evaluation.

2025 - Present

Football Match Video Annotation Specialist

VideoBounding Box
Annotated football match videos to track players using bounding boxes. Used CVAT for frame-by-frame annotation and Python scripts for verifying annotation consistency. Managed large datasets and ensured reproducibility and quality for AI training. Tools: CVAT, Python scripts, OpenCV for verification.

Annotated football match videos to track players using bounding boxes. Used CVAT for frame-by-frame annotation and Python scripts for verifying annotation consistency. Managed large datasets and ensured reproducibility and quality for AI training. Tools: CVAT, Python scripts, OpenCV for verification.

2026 - Present

3D Sensor Point Cloud Annotation

3D SensorPoint Key Point
Annotated 3D point clouds for object detection and modeling. Tools: Python scripts, Open3D, custom verification scripts, Jupyter notebooks. Ensured reproducible and high-quality datasets for AI model training.

Annotated 3D point clouds for object detection and modeling. Tools: Python scripts, Open3D, custom verification scripts, Jupyter notebooks. Ensured reproducible and high-quality datasets for AI model training.

2025 - 2025

Football Match Video Annotation Specialist

VideoObject Detection
Annotated players and key objects in football match videos using bounding boxes to support AI model training for player tracking and event detection. Managed multi-hour match footage, ensuring accurate labeling for multiple players per frame. Used CVAT and custom Python scripts for verification, consistency checks, and reproducibility. Followed quality control protocols to maintain annotation accuracy across the dataset, contributing to structured, high-quality video datasets for machine learning workflows.

Annotated players and key objects in football match videos using bounding boxes to support AI model training for player tracking and event detection. Managed multi-hour match footage, ensuring accurate labeling for multiple players per frame. Used CVAT and custom Python scripts for verification, consistency checks, and reproducibility. Followed quality control protocols to maintain annotation accuracy across the dataset, contributing to structured, high-quality video datasets for machine learning workflows.

2025 - 2025

Audio Transcription and Annotation

AudioTranscription
Annotated and verified audio transcriptions. Tools: Python scripts, Excel / spreadsheets, version control, custom logging for reproducibility and verification.

Annotated and verified audio transcriptions. Tools: Python scripts, Excel / spreadsheets, version control, custom logging for reproducibility and verification.

2024 - 2025

Education

H

HackerRank

Software Engineering, Software Engineering

Software Engineering
2023 - 2026
J

Jomo Kenyatta University of Agriculture and Technology

Bachelor of Science, Mathematics and Computer Science

Bachelor of Science
2021 - 2021

Work History

I

Independent / Freelance

AI Training & Computational Engineering Consultant

Nairobi
2022 - Present
I

Independent / Freelance

Computational Mathematics & Engineering Consultant

Nairobi
2022 - Present