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TaskUsTA

AI Data Quality Lead

TaskUs is a digital services organization that combines advanced technology, exceptional teammates, and innovative thinking to accelerate business growth.

TaskUs

Employee count: 5000+

United States only

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.

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
● Bachelor’s 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.

EEO: TaskUs is proud to be an equal opportunity workplace and is an affirmative action employer. We celebrate and support diversity; we are committed to creating an inclusive environment for all employees. TaskUs people first culture thrives on it for the benefit of our employees, our clients, our services, and our community.

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

About the job

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Job type

Full Time

Experience level

Senior
Manager

Location requirements

Hiring timezones

United States +/- 0 hours

About TaskUs

Learn more about TaskUs and their company culture.

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TaskUs is a digital services organization that combines advanced technology, exceptional teammates, and innovative thinking to accelerate business growth. Renowned for its ridiculously good outsourcing services, TaskUs addresses customer experience, trust and safety, and various AI services to meet the complex needs of escalating digital demands. Established by high school friends Bryce Maddock and Jaspar Weir in 2008, TaskUs has evolved from a mere startup into the world’s fastest-growing BPO service provider. TaskUs supports some of the most innovative and disruptive brands by offering tailored solutions that enhance productivity and customer engagement.

The company’s unique culture emphasizes a people-first approach, allowing them to build a collective of exceptionally skilled professionals who prioritize the best outcomes for their clients. From content moderation to AI training and customer experience, TaskUs takes pride in being adaptable and responsive to their partners’ needs, committing themselves to long-term success through innovation. According to multiple sources, TaskUs now lists over 10,001 employees worldwide, with operations spanning across various global locations, including the United States, the Philippines, and beyond.

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TaskUs hiring AI Data Quality Lead • Remote (Work from Home) | Himalayas