For employers

Hire this AI Trainer

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

Invite to Job
S

Simon Maina

Freelance Technical Writer & AI Content Evaluator

KENYA flag
Nairobi, Kenya
$5.00/hrExpertCrowdsourceData Annotation TechGoogle Cloud Vertex AI

Key Skills

Software

CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
Google Cloud Vertex AIGoogle Cloud Vertex AI
iMeritiMerit
HiveMindHiveMind
MercorMercor
Micro1
RemotasksRemotasks
Internal/Proprietary Tooling

Top Subject Matter

LLM outputs and AI content evaluation
LLM outputs and AI dataset curation
AI-integrated robotics and sensor data

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

RLHF
Classification
Text Generation
Text Summarization
Bounding Box
Fine Tuning
Polygon
Segmentation
Point Key Point
Cuboid
Polyline
Object Detection
Question Answering
Evaluation Rating
Transcription

Freelancer Overview

Freelance Technical Writer & AI Content Evaluator. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal, Proprietary Tooling, and N. Education includes Bachelor of Science, Kenyatta University (2024) and Certificate, Roadmap.sh (2024). AI-training focus includes data types such as Text and Image and labeling workflows including Evaluation, Rating, and RLHF.

ExpertSwahiliEnglish

Labeling Experience

Freelance Technical Writer & AI Content Evaluator

Text
As a freelance technical writer and AI content evaluator, I evaluated and improved AI-generated written outputs for grammar, coherence, and accuracy. I performed multi-modal annotation tasks such as text classification, NER tagging, sentiment labeling, and comparative preference ranking on LLM output datasets. I curated gold-standard SFT datasets and created annotation guidelines, calibration sets, and IAA protocols for distributed annotator teams. • Applied toxicity, bias, and hallucination detection frameworks to flag unsafe or low-quality model outputs. • Used Python and REST APIs to automate content delivery and dataset interactions. • Authored technical documentation and structured workflow guides for AI annotation projects. • Maintained high quality and throughput in remote, production-scale environments.

As a freelance technical writer and AI content evaluator, I evaluated and improved AI-generated written outputs for grammar, coherence, and accuracy. I performed multi-modal annotation tasks such as text classification, NER tagging, sentiment labeling, and comparative preference ranking on LLM output datasets. I curated gold-standard SFT datasets and created annotation guidelines, calibration sets, and IAA protocols for distributed annotator teams. • Applied toxicity, bias, and hallucination detection frameworks to flag unsafe or low-quality model outputs. • Used Python and REST APIs to automate content delivery and dataset interactions. • Authored technical documentation and structured workflow guides for AI annotation projects. • Maintained high quality and throughput in remote, production-scale environments.

2023 - Present

AI Data Annotator & Workflow Specialist

TextRLHF
At Uber AI, I performed RLHF and SFT labeling tasks including ranking model responses, writing preference annotations, and flagging outputs for safety and quality. I contributed to large-scale multi-modal annotation, including text classification, NER tagging, intent/slot labeling, and instruction-following quality scoring. I operated within an OpenClaw-style environment to process structured labeling queues and led IAA calibration sessions across the annotation team. • Authored exemplary prompt-response pairs and calibration examples for model alignment. • Used Python and Bash scripts to automate and validate annotation workflows. • Collaborated with QA leads and ML engineers to refine labeling standards and resolve edge cases. • Adhered strictly to data governance and security protocols when handling confidential model data.

At Uber AI, I performed RLHF and SFT labeling tasks including ranking model responses, writing preference annotations, and flagging outputs for safety and quality. I contributed to large-scale multi-modal annotation, including text classification, NER tagging, intent/slot labeling, and instruction-following quality scoring. I operated within an OpenClaw-style environment to process structured labeling queues and led IAA calibration sessions across the annotation team. • Authored exemplary prompt-response pairs and calibration examples for model alignment. • Used Python and Bash scripts to automate and validate annotation workflows. • Collaborated with QA leads and ML engineers to refine labeling standards and resolve edge cases. • Adhered strictly to data governance and security protocols when handling confidential model data.

2025 - 2025

Team Leader — AI Robotics Programme

ImageClassification
As team leader for the AI Robotics Programme at Njiriri High School, I applied data annotation expertise to curate and label training datasets for robotics. I improved robotic system accuracy by 25% through dataset curation and annotation, including implementing ML model evaluation cycles and iterative data refinement. I conducted technical training workshops and produced structured learning materials on AI annotation for the team. • Integrated AI-driven predictive maintenance using labeled sensor data pipelines. • Evaluated model outputs to identify failure modes and iterated on training data. • Produced learning materials supporting annotation best practices for robotics. • Led coordination between AI specialists and engineers to refine annotation processes.

As team leader for the AI Robotics Programme at Njiriri High School, I applied data annotation expertise to curate and label training datasets for robotics. I improved robotic system accuracy by 25% through dataset curation and annotation, including implementing ML model evaluation cycles and iterative data refinement. I conducted technical training workshops and produced structured learning materials on AI annotation for the team. • Integrated AI-driven predictive maintenance using labeled sensor data pipelines. • Evaluated model outputs to identify failure modes and iterated on training data. • Produced learning materials supporting annotation best practices for robotics. • Led coordination between AI specialists and engineers to refine annotation processes.

2022 - 2023

Education

R

Roadmap.sh

Certificate, Technical Writing

Certificate
2024 - 2024
K

Kenyatta University

Bachelor of Science, Energy Engineering

Bachelor of Science
2024

Work History

S

Self-Employed

Business Manager

Nairobi
2023 - 2025
N

Njiriri High School

Team Leader — AI Robotics Programme

Nairobi
2022 - 2023