Data Quality Analyst | Antipolo

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech. 

The People First culture at TaskUs has enabled the company to expand its workforce to approximately 45,000 employees globally. Presently, we have a presence in twenty-three locations across twelve countries, which include the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO)! We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment’s notice, and mastering consistency in an ever-changing world.

What We Offer: At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.

What does a Data Quality Analyst do? As a Data Quality Analyst, you will be responsible for ensuring the accuracy, consistency, and overall quality of annotated datasets. Your role is critical in maintaining data integrity by conducting rigorous quality audits and leveraging statistical metrics such as F1 scores and inter-annotator agreement to assess performance. You’ll dive deep into annotation errors and project trends to conduct root cause analyses, propose data driven solutions, and support long-term process improvements. You’ll review and resolve complex edge cases, identify gaps in annotation logic, and recommend enhancements that directly impact quality outcomes.

As a tool expert, you’ll work hands-on with annotation and quality control platforms, tracking quality metrics and identifying patterns that inform your evaluations. You’ll master project-specific guidelines and contribute to their refinement, ensuring alignment with evolving data requirements. With a mindset for continuous improvement, you’ll explore opportunities to introduce automation to streamline workflows and enhance insights. You’ll also maintain comprehensive documentation on quality procedures, annotation standards, and evaluation protocols to support transparency and consistency across the team.

In collaboration with stakeholders, you’ll align quality assurance processes with project goals. You’ll assist in training new and existing annotators, providing clear guidance and timely feedback to uphold excellence. Finally, you’ll deliver detailed reports that summarize data quality trends, identify key insights, and offer actionable recommendations to improve overall performance.

Do you have what it takes to become a Data Quality Analyst?

Requirements:
 

What we're looking for:

• A Bachelor’s degree in a technical field such as Computer Science, Data Science, or a related discipline—or equivalent hands-on experience.

• At least 1 year of experience working in data analysis, data quality, or data annotation—preferably within AI/ML projects.

• A solid grasp of AI/ML pipeline fundamentals and how data quality impacts model performance.

• Sharp analytical and problem-solving skills with a laser-sharp attention to detail.

• Strong written and verbal communication skills—able to explain complex issues clearly and collaborate effectively across teams.

• Highly organized with the ability to work independently and manage multiple tasks under tight deadlines.

• A critical thinker who’s always looking to innovate, optimize, and elevate the way we work.

• Quick to learn, quick to adapt, and thrives in fast-paced environments.

• Strategic, but with a hands-on approach and a keen eye for both the big picture and the finer details.

• A team player with a positive attitude who isn’t afraid to challenge the status quo and speak up.
   

Bonus points if you have:

• Experience with data annotation platforms like Labelbox, Dataloop, or LabelStudio.

• Familiarity working with multi-modal datasets—text, image, video, or audio.

• A background in tech environments that move fast and embrace agility, especially those with AI/ML exposure.

• A working knowledge of Python or similar programming languages.

• An understanding of data quality frameworks and their influence on AI/ML outcomes.

• Experience applying quality metrics and statistical analysis to AI/ML data workflows.

• Hands-on experience with LLMs and prompt engineering in real-world tasks.

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL https://www.taskus.com/careers/.