AI Data Quality Specialist

TaskUs is a leading provider of outsourced digital services and next-generation customer experience to fast-growing technology companies.

The company has a global presence, with approximately 45,000 employees in twenty-three locations across twelve countries.

We are committed to providing equal access to opportunities for all applicants. If you need reasonable accommodations in any part of the hiring process, please let us know.

• Job Description:

• Data Analysis - Perform quality audits on annotated datasets to ensure that they meet established guidelines and quality benchmarks.

• Key Responsibilities:

• Statistical Reporting - Leverage statistical based quality metrics such as F1 score and inter-annotator agreement to evaluate data quality.

• Root Cause Analysis - Analyze annotation errors, trends, project processes, and project documentation to identify and understand the root cause of errors and propose remediation strategies.

• Edge-Case Management - Resolve and analyze edge-case annotations to ensure quality and identify areas for improvement.

• Tooling - Become proficient in using annotation and quality control tools to perform reviews and track quality metrics.

• Guidelines - Become an expert in the project specific guidelines and provide feedback for potential clarifications or improvements.

• Continuous Improvement:

• Automation - Identify opportunities to use automation to help enhance analytics, provide deeper insights, and improve efficiency.

• Documentation - Develop and maintain up-to-date documentation on quality standards, annotation guidelines, and quality control procedures.

• Feedback - Provide regular feedback that identifies areas for improvement across the annotation pipeline.

• Collaboration & Communication:

• Cross-Functional Teamwork - Work closely with key project stakeholders and clients to understand project requirements and improve annotation pipelines.

• Training - Assist with training annotators, providing guidance, feedback, and support to ensure data quality.

• Reporting - Provide regular updates that highlight data quality metrics, key findings, and actionable insights for continuous process improvements.

• Required Skills and Qualifications:

• 1+ years of experience as a data analyst with exposure to data quality and/or data annotation ideally within an AI/ML context.

• Familiarity with the basic concepts of AI/ML pipelines and data.

• Strong analytical and problem-solving skills with an exceptional eye for detail.

• Excellent written and verbal communication skills, with the ability to clearly articulate quality issues and collaborate with diverse teams.

• Ability to work independently and manage time effectively to meet deadlines.

• A strong problem-solver who thinks critically and drives innovation and continuous optimization.

• A quick learner with the ability to work independently in a fast-paced environment.

• A strong focus on detail, balanced against strategic priorities.

• A positive can-do attitude and the ability to easily adapt to new environments.

• Not afraid to speak up.

• Preferred Qualifications:

• Familiarity with data annotation tools e.g. Labelbox, Dataloop, LabelStudio etc.

• Experience working with multi-modal AI/ML datasets images, videos, text, audio.

• Prior experience in an agile or fast-paced tech environment with exposure to AI/ML pipelines.

• Knowledge of programming languages e.g. Python.

• Knowledge of the concepts and principles of data quality for AI/ML models and the impacts it can have on model performance.

• Working understanding of common quality metrics and statistical methods used in AI/ML data quality.

• Knowledge of AI/ML concepts and experience with data for AI/ML models.

• Experience in prompt engineering and leveraging LLMs in your day-to-day work.

• Benefits:

• Competitive industry salaries and comprehensive benefits packages.

• Inclusive environment and positive impact on the community.

• Internal mobility and professional growth at all stages of an employee's career.

• 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.

• DEI:

• In TaskUs we believe that innovation and higher performance are brought by people from all walks of life.

• Equal access to opportunities for all applicants.

• Opportunities for growth and development.