Data Annotator - Freelance

Location

Guatemala

Toloka AI

Job Description

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.

Requirements

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.

Benefits

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.

Advice from our career coach

As an AI Tutor - Expert Annotator, you will play a crucial role in advancing AI technology by ensuring accurate data labeling. To stand out as an applicant for this position, here are some tips:

Highlight your command of English, whether it is advanced (C1), proficient (C2), or at a native level, as strong language skills are essential for precise data labeling.
Showcase your attention to detail and the ability to make justified decisions on ambiguous content to preserve data integrity.
Emphasize your dedication to consistently adhering to data labeling standards and protocols, showcasing your commitment to high-quality work even in routine tasks.
Demonstrate your collaborative skills by discussing and resolving ambiguities with team members to enhance project outcomes.
Express your interest in being part of a significant project for a leading technology company and highlight your ability to work independently in a part-time, remote role.