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Stevnex Solutions

Stevnex Solutions

AI Training Specialist (STEM & Coding Expert)

Kenya flagNairobi, Kenya
$15.00/hrExpertCVATAws SagemakerLabel Studio

Key Skills

Software

CVATCVAT
AWS SageMakerAWS SageMaker
Label StudioLabel Studio
LabelboxLabelbox
Scale AIScale AI
RemotasksRemotasks
TolokaToloka

Top Subject Matter

Stem Domain Expertise
Coding Domain Expertise
Mathematics Domain Expertise

Top Data Types

TextText
ImageImage
Computer Code ProgrammingComputer Code Programming

Top Task Types

RLHFRLHF
Bounding BoxBounding Box
ClassificationClassification
Red TeamingRed Teaming
Entity (NER) ClassificationEntity (NER) Classification
Computer Programming/CodingComputer Programming/Coding
PolygonPolygon

Freelancer Overview

AI Training Specialist (STEM & Coding Expert). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, Murang'a University of Technology (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF.

ExpertEnglishSwahiliFrench

Labeling Experience

AI Training Specialist (STEM & Coding Expert)

TextRLHF
Performed high-fidelity data labeling and annotation to improve LLM performance in STEM and coding domains. Ensured accurate evaluation and validation of AI-generated code and problem-solving outputs through RLHF and SFT processes. Applied structured annotation frameworks and ethical standards to build reliable datasets for model fine-tuning and alignment. • Designed, labeled, and validated complex datasets involving mathematical and programming tasks. • Executed response grading, ranking, and model evaluation within RLHF pipelines. • Identified and corrected hallucinations to improve safety and adherence to truthfulness criteria. • Led adversarial red teaming efforts to uncover weaknesses and enhance LLM robustness.

Performed high-fidelity data labeling and annotation to improve LLM performance in STEM and coding domains. Ensured accurate evaluation and validation of AI-generated code and problem-solving outputs through RLHF and SFT processes. Applied structured annotation frameworks and ethical standards to build reliable datasets for model fine-tuning and alignment. • Designed, labeled, and validated complex datasets involving mathematical and programming tasks. • Executed response grading, ranking, and model evaluation within RLHF pipelines. • Identified and corrected hallucinations to improve safety and adherence to truthfulness criteria. • Led adversarial red teaming efforts to uncover weaknesses and enhance LLM robustness.

2025 - Present

Data Labeling Specialist (Computer Vision & NLP)

ImageBounding Box
Managed high-fidelity data annotation for autonomous vehicle systems and NLP models. Annotated over 10,000+ image assets using bounding boxes and semantic segmentation with a 99.5% precision rate. Performed Named Entity Recognition (NER) on large text datasets to improve model recognition of key entities by 20%. Consistently met strict project deadlines while maintaining 100% adherence to complex quality guidelines and taxonomy.

Managed high-fidelity data annotation for autonomous vehicle systems and NLP models. Annotated over 10,000+ image assets using bounding boxes and semantic segmentation with a 99.5% precision rate. Performed Named Entity Recognition (NER) on large text datasets to improve model recognition of key entities by 20%. Consistently met strict project deadlines while maintaining 100% adherence to complex quality guidelines and taxonomy.

2023 - 2025

AI Red Teaming & Safety Specialist (Adversarial Testing)

TextRLHF
Executed adversarial 'Red Teaming' cycles on Large Language Models to identify and mitigate safety vulnerabilities, including jailbreaking attempts, toxic output generation, and PII leakage. Conducted 50+ testing scenarios that resulted in a 25% reduction in model hallucinations for sensitive topics. Analyzed edge-case failure modes and provided detailed feedback to engineering teams, directly contributing to the development of more robust and ethically aligned AI systems.

Executed adversarial 'Red Teaming' cycles on Large Language Models to identify and mitigate safety vulnerabilities, including jailbreaking attempts, toxic output generation, and PII leakage. Conducted 50+ testing scenarios that resulted in a 25% reduction in model hallucinations for sensitive topics. Analyzed edge-case failure modes and provided detailed feedback to engineering teams, directly contributing to the development of more robust and ethically aligned AI systems.

2024 - 2024

Education

M

Murang'a University of Technology

Bachelor of Science, Computer Technology

Bachelor of Science
2021 - 2025

Work History

F

Freelance / OpenTrain AI

AI Training Specialist (STEM & Coding Expert)

Nairobi
2025 - Present
E

East African Breweries Limited (EABL)

IT Support & Systems Technician

Nairobi
2022 - 2023