Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
CVAT
Supervisely
Labelbox
Audio
Image
Text
Document
Transcription
Action Recognition
Bounding Box
Text GenerationAI Annotation Specialist (Audio Annotation Specialist) at RWS. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include RWS. Education includes Bachelor of Science, Ajayi Crowther University (2025) and Senior Secondary School Certificate, Christlead Model College (CMC) (2019). AI-training focus includes data types such as Audio, Video, and Image and labeling workflows including Transcription, Action Recognition, and Bounding Box.
TextText GenerationHandled text and multimodal comparison tasks to improve cross-domain dataset quality. • Completed text-to-image/video comparisons and captioning to support multimodal learning. • Curated conversational dataset elements and ensured annotation accuracy. • Followed detailed instructions to maintain consistency across modalities. • Performed verification checks to ensure reliable training data.
ImageBounding BoxCreated image annotations including bounding boxes and dense labeling to strengthen image recognition datasets. • Performed image quality checks to flag issues affecting model training. • Applied object isolation/removal labeling to improve object-focused datasets. • Ensured compliance with detailed labeling guidelines for consistency. • Verified labels with transcription/review and count checks as needed for QA.
VideoAction RecognitionPerformed temporal action labeling on video to create accurate training signals for computer vision. • Conducted video shot correction to improve temporal consistency. • Labeled VFX and performed object picking to support multi-class visual understanding. • Applied guidelines to maintain annotation consistency across complex sequences. • Completed quality verification using count checks and rubric reviews.
AudioTranscriptionProvided audio dubbing and TTS quality evaluations by inspecting segments and aligning content for speech recognition support. • Labeled and segmented audio with accurate timestamps for downstream modeling. • Checked transcription quality and alignment to improve text-to-speech consistency. • Performed rubric-based verification to ensure dataset reliability. • Supported dubbing/TTS evaluation workflows for language and speech models.
Bachelor of Science, Physics with Electronics
Senior Secondary School Certificate, Secondary Education
Field Operations Support Engineer
Telecoms Field Support Engineer
