Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
AI DATA ANNOTATION AGENCY
NAIROBI, Kenya
CVAT
Labelbox
Appen
V7 Labs
Roboflow
Argilla
LabelImg
Supervisely
Image
Text
Audio
Bounding Box
Polygon
Object Detection
Evaluation/Rating
Prompt + Response Writing (SFT)About Us Sitriv AI is a specialized AI data services company dedicated to powering the next generation of artificial intelligence through high-quality, structured training data. Our mission is clear: delivering structured intelligence for the next generation of AI with unmatched accuracy, efficiency, and purpose. Our Services We provide end-to-end AI data solutions including data annotation, labeling, model evaluation, and dataset curation across text, image, and multimodal data types. Our teams are equipped to handle large-scale annotation projects with precision and domain-specific expertise, supporting AI developers and research teams in building smarter, more reliable models. Our Tools & Methods Sitriv AI leverages an industry leading annotation technology stack including V7, CVAT, Roboflow, Labelbox, LabelImg, and Infra AI, among others. This diverse toolset enables us to adapt seamlessly to varied project requirements, ensuring efficiency, scalability, and consistency across all data pipelines. Specialized Industries We bring deep domain expertise across key industries including Finance, Healthcare, Legal, Technology, and E-commerce, enabling annotations that go beyond surface-level labeling to deliver contextually accurate, professionally grounded training data. Our Workforce Sitriv AI is backed by a team of over 70 experienced annotators, domain specialists, and quality assurance professionals who bring both technical proficiency and subject matter expertise to every project. Our workforce is trained to uphold rigorous quality standards across all data types and annotation tasks. Security & Quality Assurance We are committed to data integrity, confidentiality, and compliance. Our internal quality assurance processes ensure multi-layer review of all annotated data, minimizing errors and maximizing the reliability of outputs delivered to clients. Why Choose Sitriv AI What sets us apart is the combination of a highly skilled, domain-specialized workforce, a robust and versatile annotation toolset, and an unwavering commitment to accuracy and turnaround efficiency. We don't just label data, we deliver structured intelligence that drives meaningful AI advancement.
At Sitriv AI, safeguarding client data and maintaining the highest standards of confidentiality is a foundational pillar of how we operate. We have implemented a comprehensive, multi-layered security framework designed to protect sensitive data at every stage of the annotation pipeline. Confidentiality & Legal Safeguards All Sitriv AI personnel are bound by strict Non-Disclosure Agreements (NDAs) before engaging with any client project. This ensures that proprietary datasets, project details, and client information remain fully confidential and are never shared, repurposed, or disclosed beyond the scope of the agreed engagement. Access Control & Data Restriction We operate on a role-based access control (RBAC) model, meaning team members are granted access only to the specific data and tools relevant to their assigned tasks. This compartmentalization minimizes exposure of sensitive information and ensures that client datasets are handled only by authorized personnel with a legitimate need to access them. Additionally, restricted data access protocols are enforced across all projects, preventing unauthorized viewing, downloading, or distribution of client data. Quality Assurance & Annotation Integrity To ensure the accuracy and consistency of all annotated outputs, Sitriv AI employs rigorous inter-annotator agreement (IAA) checks across projects. Multiple annotators independently label the same data samples, and agreement scores are measured and monitored to identify inconsistencies, reduce bias, and maintain high-quality, reliable training data. This process also serves as an internal audit mechanism, catching errors before they reach the client. Our Commitment Together, these measures reflect Sitriv AI's commitment to operating as a trusted, secure, and accountable AI data partner one that clients can rely on to handle their most sensitive datasets with integrity, professionalism, and care.
ImageBounding BoxProject Photonics is one of Sitriv AI's flagship ongoing annotation projects, centered on the detection and labeling of diverse real-world datasets across multiple industries and use cases. The project involves systematic identification, bounding, and classification of objects within image and video data, contributing to the development of highly accurate computer vision models.