Data Annotation Specialist

Company Overview

Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that address mission-critical priorities for companies.

Job Summary

The Data Annotation Specialist will play a vital role in a project with foundational Large Language Model (LLM) companies. This position focuses on improving LLMs by providing high-quality proprietary data through the careful annotation of short video clips that depict robots performing various tasks. This work supports the training and evaluation of LLMs specifically for robotics and embodied AI systems.

Responsibilities

• Carefully watch short robotic task videos in full before starting the annotation process.
• Identify the main objective of the robot’s tasks, breaking down the smaller steps taken to achieve them.
• Summarize events in the video, indicating task outcomes: successful, partially successful, or failed, while highlighting any errors or inefficiencies.
• Provide detailed, timestamped annotations that describe each robot movement in the video meticulously.
• Ensure all annotations adhere strictly to structured guidelines to maintain dataset consistency.
• Review and refine annotations based on feedback to enhance accuracy and clarity.

Qualifications

• Strong attention to detail and proficiency in following structured guidelines.
• Excellent written communication skills in English.
• Comfort with repetitive and precision-focused work.
• Ability to differentiate between successful, partial, and failed task execution.
• Prior experience in data annotation, transcription, or quality assurance is a plus, but not required.

Preferred Skills

• Familiarity with robotics or LLMs is beneficial.
• Experience with annotation tools or software.

Experience

• No specific years of experience required, but familiarity with data-related work is preferred.

Environment

• The work can be performed remotely or in an office setting, though specific location details were not provided.

Salary

• Salary information is not specified.

Growth Opportunities

• Potential for career advancement within the field of AI data management and annotation.

Benefits

• Specific benefits are not listed; details may be available through company resources.