Total 5 Junior Executive data entry clerk job vacancies in ph quezon city eastwood city cyber park

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Annotation drives AI’s capabilities

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling. Annotation Experts are not just regular performers; they are meticulous specialists ensuring the highest quality of data markup. As AI continues its upward trajectory, these experts lay the groundwork, paving the way for more reliable, responsible AI models.

Responsibilities:

• Quality assurance: review and verify the work done by regular performers; suggest improvements for better annotation quality
• Instructional guidance: formulate clear, effective task instructions for Tolokers
• Training creation: develop training tasks that guide Tolokers towards excellence

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level
• Has a keen eye for detail: precision is paramount in data labeling
• Is a dedicated performer who recognizes the importance of even routine tasks

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule
• Try your hand at an AI project and enrich your portfolio with new experiences

● Gathers data from reports of Hyphen Partners and inputs them in their respective trackers
● Creates appropriate data visualizations as required by Senior Data Analysts (DA) and/or the DA Manager
● Providing expanded analytics reporting as per business requirements
● Data extraction and providing information to relevant internal and external stakeholders as required
● Manage data warehouse such as cleaning, checking for erroneous/unusual data inputs, managing duplicate entries, and reports them to Senior DA
● Implement performance monitoring tools and put in place systems to drive performance excellence, with guidance from the Senior DA·
● Works closely with the Senior DA in developing new and improved analytics systems, all the way from prototyping to production