
Ekene Anaele
Enugu, Nigeria
Ekene Anaele
AI Training Specialist
Category : Artificial intelligence (AI)
Professional Services:
Multimodal Data Collection: Capturing high-quality egocentric (POV) video and audio datasets for robotics and computer vision training.
Data Annotation & Labeling: Expert execution of bounding boxes, polygons, semantic segmentation, and key-point mapping.
LLM Training & RLHF: Providing human feedback, ranking model responses, and conducting prompt engineering to refine Large Language Models.
Data Quality Assurance: Auditing existing datasets for accuracy, identifying edge cases, and ensuring strict privacy/PII compliance.
Task Simulation: Performing and documenting complex real-world tasks (household, technical, or administrative) for embodied AI learning.
Technical Competencies:
Hardware: 4K/60FPS recording equipment with wide-angle capabilities.
Software: Proficient in industry-standard annotation platforms and data management tools.
Quality: Focused on delivering high-integrity "ground truth" data.
Multimodal Data Collection: Capturing high-quality egocentric (POV) video and audio datasets for robotics and computer vision training.
Data Annotation & Labeling: Expert execution of bounding boxes, polygons, semantic segmentation, and key-point mapping.
LLM Training & RLHF: Providing human feedback, ranking model responses, and conducting prompt engineering to refine Large Language Models.
Data Quality Assurance: Auditing existing datasets for accuracy, identifying edge cases, and ensuring strict privacy/PII compliance.
Task Simulation: Performing and documenting complex real-world tasks (household, technical, or administrative) for embodied AI learning.
Technical Competencies:
Hardware: 4K/60FPS recording equipment with wide-angle capabilities.
Software: Proficient in industry-standard annotation platforms and data management tools.
Quality: Focused on delivering high-integrity "ground truth" data.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
- 🇬🇧 English
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