- Company Description Veylora Data Services is an AI data services and operations partner that supports the development, training, and improvement of Artificial Intelligence and Machine Learning systems through reliable, scalable, and quality-focused data solutions. The company collaborates with AI organizations, technology firms, research teams, enterprises, and data service providers to deliver end-to-end data operations, workforce coordination, and structured quality management. Core services include data annotation across image, video, audio, text, and 3D point cloud formats, as well as AI model training data preparation, response evaluation, and data validation. Veylora emphasizes multi-level quality checks, consistent project workflows, and versatile resourcing aligned with project complexity and timelines. The company offers opportunities for skilled professionals, including quality analysts, to contribute to diverse AI and data projects in partnership with international clients.

Role Description The Quality Analyst role is a full-time remote position responsible for reviewing, validating, and improving the quality of data used in AI and Machine Learning projects. Day-to-day tasks include conducting detailed quality checks on annotated datasets, verifying adherence to project guidelines, and documenting issues, trends, and improvement areas. The Quality Analyst will collaborate closely with project managers, annotators, and team leads to clarify requirements, provide actionable feedback, and support quality-focused workflows. This role also involves creating and refining quality metrics,



participating in calibration sessions, and contributing to continuous process optimization across multiple data types such as text, image, audio, and 3D data. The Quality Analyst is expected to maintain high accuracy, meet project timelines, and uphold Veylora's standards for reliability and consistency in data operations.

Qualifications

- Candidates should possess strong Analytical Skills to review complex datasets, identify patterns, and assess data accuracy and consistency.
- Candidates should possess Quality Control skills to perform systematic checks, validate annotations, and ensure compliance with project specifications.
- Candidates should possess Quality Assurance and Quality Management skills to support process improvements, define quality criteria, and help maintain structured quality frameworks.
- Candidates should possess effective Communication skills to provide clear feedback, document findings, and collaborate with distributed teams in a remote environment.
- Relevant experience in data annotation, AI/ML projects, or data operations is beneficial, along with familiarity with tools for issue tracking and quality reporting.
- A bachelor's degree in a related field (such as Data Science, Engineering, Computer Science, Linguistics, or similar disciplines) is preferred, but equivalent practical experience may be considered.
- Strong attention to detail, ability to work independently, and comfort with using digital platforms and collaboration tools in a remote setting are important for success in this role.

📌 Quality Analyst (India)
🏢 Veylora Data Services
📍 India