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I’m Aduralere Opadotun, a Data Annotation Specialist with hands-on experience building structured datasets for LLMs, robotics AI, and machine learning. I specialize in video annotation, image annotation, audio transcription/labeling, text-to-multimodal alignment, and multimodal dataset QA—always following guidelines to keep labels consistent and reliable. In my day-to-day work, I break down tasks into timestamped steps, map robotic actions to clear human-readable descriptions, and evaluate outcomes as success, partial success, or failure. I also support cross-modal accuracy by coordinating labels across text, audio, and video, and I’ve contributed to high-volume image labeling for computer vision applications.…I’m Aduralere Opadotun, a Data Annotation Specialist with hands-on experience building structured datasets for LLMs, robotics AI, and machine learning. I specialize in video annotation, image annotation, audio transcription/labeling, text-to-multimodal alignment, and multimodal dataset QA—always following guidelines to keep labels consistent and reliable. In my day-to-day work, I break down tasks into timestamped steps, map robotic actions to clear human-readable descriptions, and evaluate outcomes as success, partial success, or failure. I also support cross-modal accuracy by coordinating labels across text, audio, and video, and I’ve contributed to high-volume image labeling for computer vision applications.

Aduralere Opadotun

Data Annotator, AI Trainer, AI Video Editor, +1

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I’m Aduralere Opadotun, a Data Annotation Specialist with hands-on experience building structured datasets for LLMs, robotics AI, and machine learning. I specialize in video annotation, image annotation, audio transcription/labeling, text-to-multimodal alignment, and multimodal dataset QA—always following guidelines to keep labels consistent and reliable. In my day-to-day work, I break down tasks into timestamped steps, map robotic actions to clear human-readable descriptions, and evaluate outcomes as success, partial success, or failure. I also support cross-modal accuracy by coordinating labels across text, audio, and video, and I’ve contributed to high-volume image labeling for computer vision applications.…I’m Aduralere Opadotun, a Data Annotation Specialist with hands-on experience building structured datasets for LLMs, robotics AI, and machine learning. I specialize in video annotation, image annotation, audio transcription/labeling, text-to-multimodal alignment, and multimodal dataset QA—always following guidelines to keep labels consistent and reliable. In my day-to-day work, I break down tasks into timestamped steps, map robotic actions to clear human-readable descriptions, and evaluate outcomes as success, partial success, or failure. I also support cross-modal accuracy by coordinating labels across text, audio, and video, and I’ve contributed to high-volume image labeling for computer vision applications.

Available to hire

I’m Aduralere Opadotun, a Data Annotation Specialist with hands-on experience building structured datasets for LLMs, robotics AI, and machine learning. I specialize in video annotation, image annotation, audio transcription/labeling, text-to-multimodal alignment, and multimodal dataset QA—always following guidelines to keep labels consistent and reliable.

In my day-to-day work, I break down tasks into timestamped steps, map robotic actions to clear human-readable descriptions, and evaluate outcomes as success, partial success, or failure. I also support cross-modal accuracy by coordinating labels across text, audio, and video, and I’ve contributed to high-volume image labeling for computer vision applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Annotation Specialist at Softechub Limited

October 1, 2024 - Present

Annotated robotic and human task videos by splitting workflows into smaller steps and labeling each action with timestamps. Identified the main objectives of task sequences and classified executions as success, partial success, or failure. Supported robotics/embodied AI systems through action segmentation and movement tracking, producing structured annotations that improve action recognition, gesture recognition, and pose estimation models. Also contributed to multimodal dataset work by aligning text prompts to visual actions for text-to-video and text-to-image datasets, ensuring consistency across image, audio, and video annotations. Performed quality assurance checks to verify annotation accuracy and dataset reliability. In audio annotation tasks, transcribed speech and labeled acoustic characteristics such as intonation, background noise, accents, and speaker identity for diarization, supporting NLP and speech/speech-voice processing use cases. In image annotation, labeled product