
Tadie Nziraindefu
@tadienziraindefu
AI Data Annotator at micro1 and e2f, evaluating LLM responses and annotating text, image, video, and sports data.
What I'm looking for
At micro1 and e2f, I contribute to remote annotation projects, working with transcription, translation, semantic analysis, and language data for LLM and NLP projects. I focus on applying quality standards and preserving meaning in annotated content.
At SportAI, I annotated racket sports data for computer vision projects and reviewed annotations to support dataset quality. I’ve also worked on AI-focused software development and annotation quality assurance at Talent Africa.
I hold a Diploma in Software Engineering and use tools including CVAT, Label Studio, Labelbox, and Python in my annotation work. I’m open to remote and freelance opportunities in data annotation, AI evaluation, and quality assurance.
Experience
Work history, roles, and key accomplishments
• Contribute to remote data annotation projects, with skills spanning transcription, translation and semantic analysis.
• Apply high quality standards and attention to meaning when working with annotated content.
• Bring video editing skills to a broader data annotation toolkit.
• Annotate and review language data for LLM and natural language processing projects.
• Apply data quality, quality assurance and fact-checking skills to support accurate, consistent annotation.
• Contribute English-language writing and content development skills to AI data workflows in a remote freelance role.
AI Content Contractor
Vasiga Ventures
Mar 2026 - Apr 2026 (1 month)
• Contributed to the development of AI content in a remote contract role at Vasiga Ventures.
• Ensured adherence to data quality and content quality standards for AI-related deliverables.
• Leveraged Claude and automation skills to enhance content development workflows.
Computer Vision Annotator
SportAI
Oct 2024 - Aug 2025 (10 months)
• Annotated racket sports data for computer vision projects in a remote contract role.
• Applied data analysis and quality control skills to review annotations and support dataset quality.
• Combined attention to visual detail with a consistent approach to data labeling.
Software Development Intern (AI Focus) | Data Annotation QA
Talent Africa
May 2023 - Jul 2024 (1 year 2 months)
• Supported AI-focused software development and data annotation quality assurance during a hybrid internship.
• Applied CVAT, labeling, tagging and image processing skills to sports annotation work.
• Reviewed data with a focus on quality, attention to detail and critical thinking; contributed data visualization skills to the workflow.
Education
Degrees, certifications, and relevant coursework
Google Cybersecurity
Mar 2025
Microsoft
Microsoft AI & ML Engineering
Aug 2025
TelOne Centre For Learning
Diploma in Software Engineering, Computer Software Engineering
2021 - 2024
Tools of the Trade: Linux and SQL
Jul 2024
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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