Quality Assurance

Location: Remote (India)

Work Schedule: Part-Time, Philippine Time (6:30 PM to 10:30 PM IST, Monday to Friday)

MUST HAVE PRIOR EXPERIENCE WORKING WITH U.S. CLIENTS

About CoreBridge Solutions

CoreBridge Solutions is a trusted outsourcing and digital innovation partner for U.S.-based firms, helping brands grow through data-driven strategies, smart design, and advanced technology. We specialize in creating seamless digital experiences for industries such as legal, real estate, finance, and marketing. Our team delivers solutions that engage audiences and produce measurable results.

At CoreBridge, precision and accuracy guide our work. Our analysts, developers, and data specialists use structured processes, analytics, and quality checks to ensure that every output meets the highest standards.

Position Overview

We are seeking a detail-oriented Quality Assurance (QA) Data Annotator to support our data operations and machine learning projects. In this role, you will review, label, and validate data to ensure accuracy and consistency across datasets used for training AI and automation systems.

You will work closely with data analysts, project managers, and technical teams to follow annotation guidelines, verify data quality, and identify patterns or errors. The ideal candidate is highly attentive to detail, accurate, and able to follow structured processes with consistency.

Key Responsibilities

• Review and annotate data according to defined quality standards and annotation guidelines.
• Validate labeled data to ensure accuracy, completeness, and consistency.
• Identify and flag errors, inconsistencies, or unclear data for further review.
• Collaborate with analysts and project managers to clarify guidelines and requirements.
• Maintain documentation of annotation procedures and quality checks.
• Ensure deliverables meet accuracy benchmarks and project deadlines.
• Provide feedback on annotation guidelines to improve clarity and efficiency.
• Assist with quality assurance testing for datasets used in AI training or automation systems.
• Stay updated on project changes, data rules, and annotation best practices.

Your Profile

• Bachelor's degree in Information Technology, Data Science, Computer Science, or a related field preferred.
• One to three years of experience in data annotation, quality assurance, or data review.
• Strong attention to detail with the ability to maintain accuracy over repetitive tasks.
• Familiarity with annotation tools, quality control platforms, or data labeling environments.
• Ability to understand and follow structured guidelines and rules.
• Strong analytical skills and the ability to identify patterns or inconsistencies in data.
• Good communication skills and the ability to work with cross-functional teams.
• Experience working with U.S.-based clients is highly preferred.

Why Join CoreBridge Solutions?

At CoreBridge, you will be part of a company that values innovation and efficiency while fostering a collaborative and fast-paced environment. Our team is composed of passionate professionals who aim to deliver solutions that exceed client expectations. Join us and contribute to our mission to redefine the property management and digital operations landscape, one project at a time.

Benefits

• Opportunity to work remotely from anywhere in India.
• Hands-on involvement in data quality workflows that support AI and automation projects.
• Performance-related bonuses celebrating important achievements.
• A commitment to promoting a healthy work-life balance with a 20-hour workweek.

Work Environment Notice

CoreBridge Solutions is committed to providing a productive, safe, and efficient work environment for all team members. To support this commitment, we use a live monitoring system during working hours. By applying for this position, you acknowledge and accept this monitoring process as part of your work environment. This system helps maintain a supportive and effective workplace for everyone.

How to Apply

Ready to make an impact? Please fill out the application form and upload your CV in PDF format. We look forward to learning more about you and how you can contribute to our team.

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