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O

Ochi Steve

AI Data Specialist | Data Analysis | AI Evaluation | Python & SQL (Remote Contract)

Kenya flagnairobi, Kenya
$14.99/hrExpertOtherData Annotation TechClickworker

Key Skills

Software

Other
Data Annotation TechData Annotation Tech
ClickworkerClickworker
AWS SageMakerAWS SageMaker
MindriftMindrift
Micro1
OneFormaOneForma
AppenAppen

Top Subject Matter

Artificial Intelligence & Machine Learning
Data Science & Analytics
Healthcare Data, Medical Documentation & life sciences

Top Data Types

TextText
DocumentDocument
VideoVideo

Top Task Types

Classification
Entity Ner Classification
Text Generation
Text Summarization
Transcription
Evaluation Rating
Computer Programming Coding
Prompt Response Writing SFT
Question Answering
Object Detection
Cuboid
Polyline
Point Key Point
Segmentation
Polygon
Bounding Box
RLHF
Fine Tuning
Red Teaming
Data Collection
Function Calling

Freelancer Overview

AI Data Specialist / Data Entry Keyer (Remote Contract). Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, University of Nairobi (2025). AI-training focus includes data types such as Text, Document, and Video and labeling workflows including Classification, Evaluation, and Rating.

ExpertSwahiliFrenchEnglishSpanish

Labeling Experience

Video Annotation Experience

OtherVideo
I contributed to video annotation by evaluating and reviewing technical accuracy and adherence to project requirements. Structured feedback was provided using a checklist-based rubric, enhancing quality and consistency across video labeling outputs. My input ensured accurate, standardized scoring and actionable quality assurance insights for each reviewed video. • Evaluated video content for technical and quality criteria • Provided structured feedback using standardized rubrics • Compared raw and edited outputs for consistency • Enhanced output quality for downstream AI video tasks.

I contributed to video annotation by evaluating and reviewing technical accuracy and adherence to project requirements. Structured feedback was provided using a checklist-based rubric, enhancing quality and consistency across video labeling outputs. My input ensured accurate, standardized scoring and actionable quality assurance insights for each reviewed video. • Evaluated video content for technical and quality criteria • Provided structured feedback using standardized rubrics • Compared raw and edited outputs for consistency • Enhanced output quality for downstream AI video tasks.

2022 - Present

Bilingual Data Annotation Specialist

OtherTextEntity Ner Classification
As a Bilingual Data Annotation Specialist, I created and validated structured question–answer datasets for AI training in multiple domains. I focused on research-driven content, ensuring clarity, data accuracy, and logical structure for multilingual applications. My role involved reviewing and validating Q&A pairs to enhance AI model learning and performance. • Developed and reviewed research-based Q&A datasets • Ensured linguistic and logical consistency in labeled data • Supported AI model training in English and Swahili • Validated data accuracy for multi-domain learning.

As a Bilingual Data Annotation Specialist, I created and validated structured question–answer datasets for AI training in multiple domains. I focused on research-driven content, ensuring clarity, data accuracy, and logical structure for multilingual applications. My role involved reviewing and validating Q&A pairs to enhance AI model learning and performance. • Developed and reviewed research-based Q&A datasets • Ensured linguistic and logical consistency in labeled data • Supported AI model training in English and Swahili • Validated data accuracy for multi-domain learning.

2022 - Present

Credit Analysis – AI Training Focus

TextClassification
In AI-focused credit analysis, I interpreted structured financial datasets to simulate creditworthiness and identify risks for AI model improvement. My tasks included documenting findings, providing feedback on model interpretations, and supporting simulated credit decision-making scenarios. Structured documentation and analytical reasoning were used to support dataset accuracy for AI training. • Evaluated structured financial datasets for risk assessment • Identified trends and inconsistencies for training data • Documented analysis to enhance AI financial interpretation • Provided model feedback based on dataset insights.

In AI-focused credit analysis, I interpreted structured financial datasets to simulate creditworthiness and identify risks for AI model improvement. My tasks included documenting findings, providing feedback on model interpretations, and supporting simulated credit decision-making scenarios. Structured documentation and analytical reasoning were used to support dataset accuracy for AI training. • Evaluated structured financial datasets for risk assessment • Identified trends and inconsistencies for training data • Documented analysis to enhance AI financial interpretation • Provided model feedback based on dataset insights.

2020 - Present

AI Data Specialist / Data Entry Keyer (Remote Contract)

TextClassification
As an AI Data Specialist and Data Entry Keyer, I annotated and structured datasets for AI model training, primarily with financial and document-based text data. I performed data validation and quality assurance to ensure high accuracy and consistency, utilizing Python and SQL for data cleaning and management. My workflow included detailed documentation supporting AI training and research-driven insights for structured data labeling. • Annotated datasets for multi-domain AI model training • Conducted quality assurance and validation of labeled data • Used Python (Pandas, NumPy) and SQL to process and manage text data • Maintained documentation for labeling workflows and standards.

As an AI Data Specialist and Data Entry Keyer, I annotated and structured datasets for AI model training, primarily with financial and document-based text data. I performed data validation and quality assurance to ensure high accuracy and consistency, utilizing Python and SQL for data cleaning and management. My workflow included detailed documentation supporting AI training and research-driven insights for structured data labeling. • Annotated datasets for multi-domain AI model training • Conducted quality assurance and validation of labeled data • Used Python (Pandas, NumPy) and SQL to process and manage text data • Maintained documentation for labeling workflows and standards.

2020 - Present

File & Document Management (AI Training)

OtherDocumentClassification
In label-based document management, I annotated and categorized document datasets for AI system training in classification and organization tasks. I simulated real-world filing with alphabetical and numerical systems, improving AI understanding of document types and edge cases. This work contributed to record accuracy and efficient AI-driven workflows. • Labeled and structured large document datasets • Simulated filing scenarios for classification training • Applied custom and standard directory systems • Supported workflow efficiency through precise annotation.

In label-based document management, I annotated and categorized document datasets for AI system training in classification and organization tasks. I simulated real-world filing with alphabetical and numerical systems, improving AI understanding of document types and edge cases. This work contributed to record accuracy and efficient AI-driven workflows. • Labeled and structured large document datasets • Simulated filing scenarios for classification training • Applied custom and standard directory systems • Supported workflow efficiency through precise annotation.

2020 - 2022

Education

U

University of Nairobi

Bachelor of Science, Data Science

Bachelor of Science
2021 - 2025

Work History

S

Self-Employed / Freelance

Data Analyst | AI Evaluation Specialist

nairobi
2012 - Present