Data Annotator - Freelance

Location

El Salvador

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 play a crucial role in shaping the future of AI by ensuring accurate data labeling. To stand out as a successful applicant, here are some tips:

Highlight your proficiency in English, with a focus on precision and attention to detail in data labeling.
Showcase your critical thinking skills and ability to make justified decisions on ambiguous content.
Emphasize your experience in collaborating with team members to enhance project outcomes and adhere to data labeling standards.
Demonstrate your dedication to even routine tasks and how it contributes to the overall quality of data annotation.
Communicate your enthusiasm for being part of a significant project in the AI industry and the opportunity to make a substantial impact.
Explain how your flexibility for a part-time, remote role aligns with the requirements of the position and your ability to deliver results efficiently.
Show a proactive approach to learning and enriching your portfolio with new experiences in AI projects.