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O
Okanga O.

Okanga O.

AI Data Annotation Specialist (LLM Evaluator & Multimodal Annotator)

Kenya flagNairobi, Kenya

Key Skills

Software

AppenAppen
Other
TelusTelus
LionbridgeLionbridge
CVATCVAT
LabelboxLabelbox
Scale AIScale AI

Top Subject Matter

LLM evaluation
safety policy
RLHF-style preference data

Top Data Types

TextText
VideoVideo
AudioAudio
DocumentDocument
ImageImage

Top Task Types

TranscriptionTranscription
ClassificationClassification

Freelancer Overview

AI Data Annotation Specialist (LLM Evaluator & Multimodal Annotator). Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Appen, Other, and Telus. Education includes Master of Science, University of Nairobi (2026) and Postgraduate Diploma, University of the People (2024). AI-training focus includes data types such as Text, Video, and Audio and labeling workflows including Evaluation, Rating, and Transcription.

Labeling Experience

Appen

AI Data Annotation Specialist (LLM Evaluator & Multimodal Annotator)

AppenAppenTextText

Delivered LLM output evaluation work across text datasets by ranking responses for factual accuracy, instruction-following, tone, and safety. Performed rubric-based quality scoring and produced written justifications for each ranking decision. Supported RLHF-style training pipelines through consistent preference labeling. • Apply detailed rubrics for evaluation • Produce citation-free written ranking justifications • Escalate ambiguous or policy-violating samples with notes • Support downstream QA and reviewer workflows

2025 - Present

AI Data Specialist (FlexAI Solutions)

OtherVideoVideo

Completed comprehensive multimodal annotation across text, image, video, and audio modalities for AI training datasets. Conducted entity labeling, object tagging, content categorization, and counting tasks aligned to project guidelines. Developed and evaluated prompt-response pairs to test factual accuracy and response clarity for model reasoning. • Annotate multimodal content for training • Create and evaluate prompt-response pairs • Preprocess and organize datasets for ML readiness • Maintain labeling consistency under changing guidelines

2022 - 2024
Telus

Freelance Data Evaluator (TELUS AI)

TelusTelusAudioAudioTranscriptionTranscription

Performed AI dataset evaluation and annotation across audio, video, image, and text modalities. Conducted pairwise evaluation and content ranking on AI-generated outputs, delivering structured evidence-supported feedback. Completed image bounding-box annotation and audio transcription labeling according to strict project guidelines. • Pairwise ranking and content evaluation • Bounding-box annotation for images • Audio transcription and related labeling • Generate QA reports for performance optimization

2020 - 2022
Lionbridge

Content Annotation Specialist (Lionbridge)

LionbridgeLionbridgeDocumentDocumentClassificationClassification

Annotated multimedia content for AI model training while strictly following project labeling guidelines and quality standards. Ensured consistent labeling outputs aligned with predefined benchmarks. Supported ongoing efforts to improve annotation efficiency and consistency. • Adhere to multimedia labeling guidelines • Maintain quality standards for annotations • Contribute to consistency improvements • Support active AI training labeling projects

2018 - 2020

Education

U

University of Nairobi

Master of Science, Actuarial Science

Master of Science
2022 - 2026
M

Moi University

Bachelor of Science, Actuarial Science

Bachelor of Science
2018 - 2022

Work History

A

Appen

AI Output Evaluator (LLM Evaluation & Multimodal Quality Specialist)

Nairobi
2025 - Present
S

Self-Employed

Independent Data Scientist & Quantitative Consultant

Nairobi
2021 - Present