Data Understanding Specialist - Data Cycling Center - Spanish Market (KL)

TikTok; Kuala Lumpur; On-site; MYR 20,000 - 100,000; Full time

Job summary

A leading social media platform in Kuala Lumpur is seeking a candidate for a role that involves acting as a bridge between machine learning engineers and labelers. The successful applicant will need to be fluent in both Spanish and English, with 1-3 years of experience in operations within a tech environment. Key responsibilities include monitoring project quality against KPIs and resolving operational challenges. Strong communication skills and experience in project management are essential for success in this role.

Qualifications

• 1-3 years of experience in operation for a tech or social media company.
• Understanding of AI and Machine Learning concepts is a plus.
• Experience in training in a technical context.

Responsibilities

• Act as a bridge between machine learning engineers and labelers.
• Monitor the quality of project outputs against KPIs.
• Identify and address operational challenges or inefficiencies.

Skills

Fluency in Spanish

Fluency in English

Data interpretation and analysis

Excellent communication skills

Project management

Job description

About the Role

Your main responsibility is to act as a bridge between machine learning engineers and labelers, ensuring the accurate application of structure to unstructured data such as video, images, text, etc.

Responsibilities

Project Readiness, Delivery & Reporting:

• Cooperate with Pillar DUS on project support and requirements.
• Provide project specific insights, RCA and business metrics. (Cooperate with XFN's where required, delegated)
• Template application, selection: Work with FA's andCC on the use, application and criteria for Labeling Template use. ( TCS JIMU / LP Neeko )
• SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template. Maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
• Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues. Across TCS and LP. Liase with FA for support. RD to own complex Queue injections. DUS to support uploading and injection of pre-identified data sets.
• Creation of GDS: Help create, maintain and iterate the Golden Data Set. CS Exam creation linked to GDS.
• Train, Host or Record SOP review and application. Distribute to internal BD teams. ( LMS Absorb)
• Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
• Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.

Process Optimization and Problem Resolution:

• Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
• Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.

Qualifications

Minimum qualifications:

• Fluency in Spanish is required as the role requires communication with Spanish markets & stakeholders, as well as fluency in English as it is the working language.
• 1-3 years experience in operation for a tech or social media company data analytic experience.
• Proficiency in data interpretation and analysis; Understanding of AI and Machine Learning concepts, particularly as they relate to data labelling is a plus.
• Excellent verbal and written communication skills for clear and effective communication with both requestors and labelers.
• Strong abilities in simplifying complex instructions and requirements, along with robust experience in training in a technical context.
• Experience in project management with strong organizational skills to manage multiple tasks concurrently, preferably in a data-intensive environment.

Preferred qualifications:

• Excellent problem-solving, task prioritization, follow-up, and quick learning skills.
• Ability to maintain a high degree of confidentiality while meeting strict deadlines.