Qualitest

AI-powered software testing and quality engineering

Data Collection & Annotation Engineer

Manual & Functional QAConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Familiarity with Windows operating system environments is required.
0–1 years of experience in data annotation, data collection, manual quality assurance, or a similar technical role.
Strong attention to detail and the ability to maintain accuracy during repetitive annotation tasks.
Ability to follow detailed technical guidelines and predefined procedures.
Good documentation and organizational skills.
Ability to work independently and as part of a cross-functional team.

Responsibilities

Collect images and videos for artificial intelligence model training and validation.
Execute data collection scenarios according to predefined requirements and test conditions.
Annotate and label data according to detailed annotation guidelines.
Review annotated data and ensure high levels of accuracy, consistency, and completeness.
Work with camera systems and dedicated setups to collect data under different environments, conditions, angles, distances, and scenarios.
Support improvements to data collection and annotation processes based on project needs.
Report technical issues identified during data collection activities.
Perform basic functional testing of camera systems and firmware versions as part of the data collection and verification process.

Desired Qualifications

Experience working with image and video datasets.
Experience with annotation tools such as CVAT or a similar annotation platform.

AI Data Collection & Annotation EngineerIn this role, you will support the development and improvement of AI models by collecting, annotating, reviewing, and validating high-quality image and video datasets.A significant part of the role will involve hands-on data collection and data annotation, working according to predefined scenarios, annotation guidelines, and AI model requirements.You will be responsible for ensuring that collected and annotated data is accurate, consistent, and suitable for AI model training and evaluation.The role also includes basic functional testing of camera systems and Firmware versions as part of the data collection and verification process.ResponsibilitiesPerform data collection of images and videos for AI model training and validation.Execute data collection scenarios according to predefined requirements and test conditions.Perform data annotation and labeling according to detailed annotation guidelines.Review annotated data and ensure high levels of accuracy, consistency, and completeness.Work with camera systems and dedicated setups for collecting data under different environments, conditions, angles, distances, and scenarios.Support improvements to data collection and annotation processes based on project needs.Report technical issues identified during data collection activities.RequirementsFamiliarity with Windows OS environments - MUST0–1 years of experience in Data Annotation, Data Collection, Manual QA, or a similar technical role.Strong attention to detail and ability to maintain accuracy during repetitive annotation tasks.Ability to follow detailed technical guidelines and predefined procedures.Experience working with image and video datasets - Advantage.Experience with annotation tools such as CVAT or similar annotation platform - Advantage.Good documentation and organizational skills.Ability to work independently and as part of a cross-functional team.

About the Company

Qualitest

AI-powered software testing and quality engineering

Qualitest provides software testing services powered by AI to help clients in healthcare, finance, and technology improve quality and speed up time to market. Its core product is Qualisense, an AI tool that enhances risk-based testing by prioritizing testing efforts, identifying high-risk areas, and optimizing test coverage. This allows Qualitest to automate and accelerate testing workflows, reduce costs, and improve operational efficiency for large, diverse enterprises worldwide. The company differentiates itself from competitors through its focus on AI-driven testing and risk-based strategies, enabling faster release cycles and better customer experiences. Qualitest aims to help organizations deliver reliable software quickly and at lower overall risk by combining specialized testing services with advanced AI-enabled tooling, primarily under long-term service contracts and partnerships.

Company size: 1,001-5,000
Company stage: Acquired
Total funding: $497M
Headquarters: Fairfield, CT
Founded: 1997

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