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Data Analyst Intern

Data Analyst Intern

xiaomi technology
Fresher
Early Applicant
  • Posted 14 days ago
  • Be among the first 10 applicants

Job Description

1. Annotate, classify, and organize various types of data, including text, data query requirements, and SQL-related data, based on predefined business rules and annotation guidelines.

2. Understand business requirements and data specifications, and perform data cleaning, annotation, validation, and exception handling to ensure data accuracy and consistency.

3. Assist in building and maintaining high-quality datasets for AI and large language model (LLM) applications.

4. Conduct quality checks and reviews of annotated data, identify inconsistencies or potential issues, and provide timely feedback for improvement.

5. Support AI/LLM-related projects in data preparation, model evaluation, and performance analysis.

6. Collaborate with team members to continuously improve annotation guidelines, workflows, and overall data quality.

7. Assist with other data analysis and data-related tasks as required by the project.

1. Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Information Systems, or a related field.

2. Strong logical thinking and attention to detail, with the ability to understand business requirements and apply data annotation guidelines accurately.

3. Responsible, patient, and detail-oriented, with a strong sense of data quality and consistency.

4. Strong learning and problem-solving skills, with the ability to quickly understand new business scenarios and data specifications.

5. Fluent in both Chinese and English, with strong verbal and written communication skills. German language proficiency is a plus.

6. Interest or hands-on experience in Artificial Intelligence, Large Language Models (LLMs), data analytics, or related fields is preferred.

7. Able to commit to at least 6 months of internship; candidates with longer availability are preferred.

8.Immediate availability is preferred.

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