Taabu Okanda

Key Skills

Software

Other

Toloka

Top Subject Matter

Legal Services & Contract Review

Medical Domain Expertise

Financial Domain Expertise

Top Data Types

Text

Image

Audio

Document

Top Task Types

Entity (NER) Classification

Bounding Box

Segmentation

Classification

Freelancer Overview

Senior Data Annotator & AI Trainer - Outlier AI. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Toloka. Education includes Bachelor of Commerce, KCA University and Certificate in Computerized Accounting, KCA University. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Entity (NER) Classification, Bounding Box, and Segmentation.

Labeling Experience

Linguistic Data Contributor - Silencio AI

OtherAudioClassification

As a Linguistic Data Contributor at Silencio AI, I focused on environmental and ambient audio classification for AI acoustic models. My work included tagging, collecting, and validating sound-event data for smart city and IoT applications. I also provided linguistic annotations to improve model localization for region-specific accents and dialects.• Built audio datasets for environmental and ambient sound-event recognition • Validated and quality-checked regional and dialectical language patterns • Contributed to data for noise-level and IoT AI model development • Enhanced data with region-specific colloquialism annotations.

As a Linguistic Data Contributor at Silencio AI, I focused on environmental and ambient audio classification for AI acoustic models. My work included tagging, collecting, and validating sound-event data for smart city and IoT applications. I also provided linguistic annotations to improve model localization for region-specific accents and dialects.• Built audio datasets for environmental and ambient sound-event recognition • Validated and quality-checked regional and dialectical language patterns • Contributed to data for noise-level and IoT AI model development • Enhanced data with region-specific colloquialism annotations.

2023 - Present

Data Annotation Contributor - Sigma AI

OtherImageSegmentation

As a Data Annotation Contributor for Sigma AI, I worked in annotation pipelines for both computer vision and NLP projects. I labeled training data for object recognition, scene classification, and performed transcription and document extraction tasks. I also contributed to inter-annotator agreement (IAA) initiatives and multi-round annotation review.• Labeled data for object recognition and scene classification using various annotation methods • Conducted OCR and document extraction labeling • Participated in multi-round IAA review cycles and conflict resolution • Managed annotation logs and escalated ambiguous cases for QA.

As a Data Annotation Contributor for Sigma AI, I worked in annotation pipelines for both computer vision and NLP projects. I labeled training data for object recognition, scene classification, and performed transcription and document extraction tasks. I also contributed to inter-annotator agreement (IAA) initiatives and multi-round annotation review.• Labeled data for object recognition and scene classification using various annotation methods • Conducted OCR and document extraction labeling • Participated in multi-round IAA review cycles and conflict resolution • Managed annotation logs and escalated ambiguous cases for QA.

2022 - Present

Data Labelling Specialist - Toloka AI

TolokaImageBounding Box

As a Data Labelling Specialist at Toloka AI, I completed diverse microtasks in image classification, object detection, and segmentation. My work included labeling sentiment, intent, and tone in multilingual texts, and evaluating AI system responses. I also specialized in audio transcription and relevance judgments for search and recommendation systems.• Executed thousands of image labeling and object detection tasks (bounding boxes, polygons) • Annotated sentiment and intent in cross-lingual text datasets • Performed side-by-side evaluation and scoring of AI-generated content • Achieved high output quality with >97% acceptance rates.

As a Data Labelling Specialist at Toloka AI, I completed diverse microtasks in image classification, object detection, and segmentation. My work included labeling sentiment, intent, and tone in multilingual texts, and evaluating AI system responses. I also specialized in audio transcription and relevance judgments for search and recommendation systems.• Executed thousands of image labeling and object detection tasks (bounding boxes, polygons) • Annotated sentiment and intent in cross-lingual text datasets • Performed side-by-side evaluation and scoring of AI-generated content • Achieved high output quality with >97% acceptance rates.

2022 - Present

Senior Data Annotator & AI Trainer - Outlier AI

OtherTextEntity Ner Classification

As a Senior Data Annotator & AI Trainer at Outlier AI, I labeled large-scale datasets across text, image, and audio to train machine learning models. I performed semantic tagging, entity recognition, and quality assurance, maintaining high annotation standards. My role also included transcribing audio, refining ASR data, and providing structured RLHF feedback.• Annotated and labeled datasets for legal, medical, financial, and conversational domains • Conducted detailed reviews and provided structured AI model feedback (RLHF) • Transcribed, diarized, and timestamped audio and video data for ASR training • Collaborated on ongoing quality control and annotation guideline refinement.

As a Senior Data Annotator & AI Trainer at Outlier AI, I labeled large-scale datasets across text, image, and audio to train machine learning models. I performed semantic tagging, entity recognition, and quality assurance, maintaining high annotation standards. My role also included transcribing audio, refining ASR data, and providing structured RLHF feedback.• Annotated and labeled datasets for legal, medical, financial, and conversational domains • Conducted detailed reviews and provided structured AI model feedback (RLHF) • Transcribed, diarized, and timestamped audio and video data for ASR training • Collaborated on ongoing quality control and annotation guideline refinement.

2022 - Present

Education

Work History