Nura M.-Image and Video Data Labelling Generalist
Check rate
Experience
Image & Video Data Contribution/Labelling Generalist
Freelance
- Participate in remote image and video annotation projects supporting AI training and computer-vision workflows
- Perform bounding box labeling for objects in images and video sequences and maintain consistent object labels across frames
- Conduct A/B video testing and video comparison tasks, evaluating visual differences, quality, and task-specific criteria
- Assess video content for clarity, relevance, and compliance with instructions; review outputs for correct formatting before submission
- Contributed diverse, real-world image and video data to improve model performance across different demographics, lighting, and environments
Audio and Video Reviewer / Transcriber
GoTranscript
- Review audio and video recordings frame by frame to ensure accurate understanding of recorded events
- Perform quality-control checks on video content and follow project-specific instructions and formatting requirements
Data Annotator
RWS Group
- Annotate and review AI training data according to detailed project-specific guidelines with focus on accuracy and completeness
- Perform image and video labeling tasks including bounding box application for objects within images and videoframers
- Use Encord video annotation workflows and web-based annotation environments to complete labeling and review tasks
- Conduct frame-by-frame video reviews to identify objects, activities, and visual events and maintain consistent labeling
- Identify and resolve annotation errors, missing labels, inaccurate boundaries, and inconsistent classifications
Data Labeller / AI Data Specialist
Uber AI
- Labelled and annotated large-scale image, video, and structured datasets to create high-quality training data for AI/ML models within web-based annotation platforms
- Performed object detection annotation including bounding box labeling, object classification, and visual content categorization per detailed project guidelines
- Conducted frame-by-frame video annotation and video object tracking, identifying activities, movements, and relevant visual events across sequential frames
- Classified and tagged visual data with accurate labels, attributes, and metadata ensuring consistency and completeness across thousands of tasks
- Applied precise label placement and corrected annotation errors including inaccurate boundaries, occlusions, duplicate labels, and missing objects
- Maintained high inter-annotator consistency and accuracy while processing high volumes of repetitive, detail-oriented visual data
- Followed and adapted to evolving annotation instructions and project requirements in fast-paced remote workflows
Industry experience
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Experienced in Information Technology and Media and Entertainment.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Quality Assurance.
Summary
Detail-oriented Image and Video Data Labelling Generalist with 7+ years of experience supporting AI training through large-scale data contribution/annotation, image labeling, video object tracking, and visual content evaluation. Proven experience at Uber AI, RWS Group, and freelance AI projects labelling diverse visual datasets in web-based platforms including Encord. Expert in bounding box labeling, frame-by-frame video review, A/B video testing, object detection, and strict adherence to annotation guidelines. Known for maintaining high accuracy and consistency across high-volume, repetitive labelling tasks.
Skills
- Image & Video Labelling: Bounding Box Labeling, Object Detection Annotation, Video Object Tracking, Frame-By-Frame Annotation, Image Classification, Video Classification, A/B Video Testing, Video Comparison & Evaluation
- Annotation Platforms: Encord Video Annotation, Web-Based Annotation Tools, Ai Data Platforms, Digital Review Workflows
- Data Labelling Expertise: Label Accuracy & Consistency, Annotation Guideline Adherence, Error Identification & Reporting, Visual Content Categorization, Data Validation
- Tools: Microsoft Office Suite, Google Workspace, Spreadsheets, Web-Based Tools
Languages
Education
Kaduna State University
B.Sc. · Biochemistry · Kaduna, Nigeria
Certifications & licenses
Bachelors Degree
Kaduna State University
Statistics
Experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Nura is based in Kano, Nigeria and prefers 100% remote projects.
Nura speaks the following languages: Hausa (Native), English (Advanced), Arabic (Intermediate).
Nura has at least 4 years of experience. During this time, Nura has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 1 year and 1 month. Note that Nura may not have shared all experience and actually has more experience.
Based on recent experience, Nura would be well-suited for roles such as: Image & Video Data Contribution/Labelling Generalist, Audio and Video Reviewer / Transcriber, Data Annotator.
Nura's most recent position is Image & Video Data Contribution/Labelling Generalist at Freelance.
In recent years, Nura has worked for Freelance, GoTranscript, and RWS Group.
Nura is most experienced in industries like Information Technology and Media and Entertainment.
Nura is most experienced in business areas like Information Technology and Quality Assurance.
Nura holds a Bachelor in Biochemistry from Kaduna State University.
Nura has 1 certificate: Bachelors Degree.
Nura is immediately available full-time for suitable projects.
Daily rate distribution
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Average rates for similar positions
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 31 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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