Freelance Data Annotation Specialist (Contract)
Demonstrated experience with Audio Transcription.
Demonstrated experience with Audio Segmentation.
Demonstrated experience with Text Labeling.
Demonstrated experience with Video Content Evaluation.
Demonstrated experience with Data Annotation.
Freelance Data Annotation Specialist (Contract) open to new opportunities
Annotate and label large volumes of text, audio, and video data for AI/ML projects, processing over 100 audio files weekly.. Maintain over 95% transcription accuracy, applying detailed project-specific guidelines to ensure consistency and precision.. Conduct quality checks and peer reviews to validate transcriptions and segmentations for natural language accuracy.. Collaborate with international teams through online platforms to meet deliverables within strict timelines.. Categorize multimedia data, ensuring clear and accurate labeling aligned with linguistic and contextual meaning.
Performed text evaluation, relevance ranking, and data annotation for AI training datasets.. Reviewed AI-generated outputs for factual accuracy and contextual relevance in Swahili and English.. Provided feedback to improve linguistic accuracy and cultural appropriateness of AI language models.. Ensured adherence to quality and ethical guidelines across multiple annotation projects.
Reviewing first-person POV videos to create accurate AI training datasets.. Segmenting videos by identifying precise action transition boundaries.. Annotating object interactions, hand movements, and manipulation activities.. Identifying start and end frames for task-specific actions.. Labeling object locations and movement sequences following detailed annotation guidelines.. Verifying annotation quality through systematic quality assurance checks.. Flagging ambiguous cases for further review while maintaining consistency.. Working with robotics and computer vision datasets involving household activities and object manipulation.. Maintaining high annotation accuracy while meeting productivity expectations.
Preparing high-quality datasets for machine learning and computer vision applications.. Performing frame-by-frame video review and temporal labeling.. Evaluating annotations for consistency and guideline compliance.. Documenting annotation decisions clearly for quality control.. Adapting quickly to evolving project instructions and feedback.