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.

Job Description: Campaign Manager, Data Labeling Operations

The Campaign Manager is a key operational role focused on the successful execution and delivery of data labeling projects. This role serves as the day-to-day liaison between our internal labeling teams and the client's technical stakeholders, ensuring that data is labeled accurately, efficiently, and on schedule to support Machine Learning (ML) development.

Key Responsibilities

1. Client Coordination and Communication

• Serve as the primary point of contact for client teams regarding daily campaign updates and operational questions.
• Assist in translating client requirements into clear instructions and Standard Operating Procedures (SOPs) for the labeling pods.
• Participate in regular performance reviews, providing updates on project status, throughput, and basic quality trends.

2. Campaign Monitoring and Quality Support

• Monitor the daily performance of assigned labeling campaigns to ensure they meet Service Level Agreements (SLAs) .
• Review basic operational metrics (e.g., accuracy scores, throughput, and rework rates) to identify potential bottlenecks or common labeling errors.
• Help gather examples of "edge cases" or ambiguous data to seek clarification from the client.
• Conduct spot checks and QA the labeling work being performed.

3. Project Implementation and Resource Support

• Assist and support the Campaign Intake Process by gathering necessary documentation and assets for new project requests.
• Assist in the creation and maintenance of SOPs and "Gold Sets" (training examples) under the guidance of senior leadership.
• Assist and coordinate with the staffing team to ensure labeling pods are appropriately supported and that new labelers are onboarded to the specific project requirements.

4. Operational Adherence

• Ensure labeling teams are following the established Standard Operating Processes (SOPs) .
• Maintain strict adherence to Data Security, Privacy, and Confidentiality protocols for all project data.
• Promote and model company CORE values within the project teams.

Required Skills and Qualifications

Education and Experience

• Bachelor's Degree in a related field.
• 1-2 years of experience in Operations, Quality, or a Project Coordination role, preferably within a BPO or tech-enabled service environment.
• Previous experience in a client-facing role, even at an assistant level, is highly valued.
• Strong written and verbal communication skills.

Professional Skills

• Project Organization: Ability to track multiple tasks and deadlines simultaneously.
• Problem-Solving: Proactive approach to identifying issues in data quality or production speed.
• Collaboration: Comfortable working between technical stakeholders and large operational teams.

Technical and Domain Knowledge

• General interest in Machine Learning (ML) and Artificial Intelligence.
• Proficiency with Google Workspace or Microsoft Office (especially Excel/Sheets for data tracking).
• Familiarity with data labeling platforms or content moderation tools is a plus, but not required.

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/ .