Manager, AI Data Quality
Manager, AI Data Quality
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Job Description
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 45000 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 moments 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 employees career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First.
Responsibilities:
- Strategic Leadership
Drive the development refinement and documentation of quality assurance processes and standard operating procedures to ensure high-quality outputs.
Establish comprehensive quality metrics (e.g. F1 score inter-annotator agreement) that align with business objectives and industry standards.
Continuously review and refine annotation workflows to proactively identify risks and areas to increase efficiency and reduce errors.
Act as the subject matter expert on annotation quality providing ongoing feedback training and support to annotators and project teams to uphold the highest quality standards.
- Analysis & Reporting
Lead in-depth data analysis to diagnose quality issues assess the effectiveness of quality strategies and uncover root causes of recurring errors.
Develop and maintain dashboards that provide real-time insights into quality metrics and project performance.
Prepare and deliver strategic quality reports to senior management and clients articulating quality trends risks and improvement plans.
Partner with cross-functional teams including operational management engineering and client services to align on project goals and quality assurance initiatives.
- Operational Leadership
Lead a team of Data Quality Analysts and provide mentorship training and expertise fostering a culture of continuous improvement and accountability.
Manage the configuration and integration of annotation and quality control tools (e.g. Labelbox Dataloop LabelStudio) ensuring optimal tool performance and alignment with project requirements
Identify evaluate and implement innovative quality control tools and automation technologies to streamline quality control workflows enhance analytical capabilities and improve operational efficiency.
Required Qualifications
Bachelors degree in a technical field (e.g. Computer Science Data Science) or equivalent professional experience.
3 years of experience in data quality management data operations or related roles within AI/ML or data annotation environments.
Proven track record in designing and executing quality assurance strategies for large-scale multi-modal data annotation projects.
Proven track record in a leadership role managing and developing high-performing remote or distributed teams.
Deep understanding of data annotation processes quality assurance methodologies and statistical quality metrics (e.g. F1 score inter-annotator agreement).
Strong data-analysis skills with the ability to interrogate large datasets perform statistical analyses and translate findings into actionable recommendations.
Excellent communication skills with experience presenting complex data and quality insights to technical and non-technical stakeholders.
Proficiency with annotation and QA tools (e.g. Labelbox Dataloop LabelStudio).
High-level of proficiency in common data-analysis tools such as Excel and Google Sheets.
Familiarity with programmatic data analysis techniques (e.g. Python SQL).
Familiarity with the core concepts of AI/ML pipelines including data preparation model training and evaluation.
Preferred Qualifications
Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.
Experience in a managed services or vendor-driven environment.
Familiarity with prompt engineering and large-language-model assisted workflows to optimise annotation and validation processes.
In-depth knowledge of ethical AI practices and compliance frameworks.
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 Experience:
Manager
Employment Type
Full-Time
Key Skills
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