Job Description

1. Data annotation:

Classify, organize, edit, correct and annotate data such as text, image, voice, video, etc. using the platform tools provided by the company.

According to the project requirements, accurately label the data, such as text labeling, voice labeling, etc..

2. Data quality control:

Conduct self-checking and mutual checking on the completed labeled data to ensure the accuracy and consistency of the data.

Participate in data quality assessment work and cooperate with the team to develop and improve data quality standards.

3. Feedback and communication:

In the process of labeling, if you find data quality problems or unclear labeling rules, timely communicate with the relevant team for feedback.

Maintain good communication with other annotators, algorithm engineers and other team members to share annotation experience and skills.

4. Document Management:

Responsible for organizing and saving relevant documents and records in the annotation process, such as annotation rule documents, annotation data samples, etc.

Job Requirements

1. Education Requirements:

Bachelor degree or above.

Computer Science, Statistics, Mathematics and other related degrees are preferred.

Proficient in Turkish, with good listening, speaking, reading and writing skills, able to accurately understand and express language characteristics.

Able communicate in Chinese or English, those who are familiar with Chinese are preferred. Proficient in using Praat for audio analysis and annotation is preferred. Strong sense of responsibility and teamwork spirit, able to complete tasks on time.

2. Skills Required:

Proficient in the use of computer office software, such as Microsoft Office

Familiar with common data labeling tools.

3. Ability Requirements:

Good data sensitivity and ability to quickly and accurately identify and categorize various types of data.

Strong learning ability, able to quickly master new labeling rules and tools.

Work carefully and conscientiously, with strong sense of responsibility and teamwork.

4. Experience Required:

Data annotation related work experience is preferred.

NLU and ASR related annotation experience is preferred.

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