Data Annotation Specialist, English
hace 2 semanas
Job Overview
Microsoft is seeking a highly skilled Data Annotation Specialist to support the development of Large Language and AI Models. As a key member of our team, you will be responsible for analyzing diverse media formats, including images, videos, and text content, to ensure the highest standards of fidelity and consistency.
Key Responsibilities
- Develop a deep understanding of guidelines to ensure accurate application to agreed metrics.
- Analyze content, extract information, and identify patterns in how the models are behaving.
- Collaborate with team members on day-to-day problem solving, reporting on trends/analysis findings and projects assigned by managers.
- Use in-house tools to transcribe and annotate data for various projects.
- Work with offensive and mature material to help train our AI models for the protection of Microsoft's customers.
Requirements
- Associate's degree AND 1+ year(s) experience working with stakeholders in a project or program OR Bachelor's Degree OR equivalent experience.
- Experience working with stakeholders in a project or program.
- Ability to transcribe and annotate data from sources including but not limited to transcription (text) for audio clips or annotating text or images to verify certain types of data.
- Ability to transcribe and annotate data to a high degree of accuracy in English with in-depth knowledge of pitch, tones, rhythm, intent, etc.
- Familiarity with United States culture and linguistic nuances.
- Business level fluency to read, write and speak English and Spanish.
Preferred Qualifications
- Linguistics or computational linguistic background.
- Experience in language technology including speech.
- Analytical Skills.
- Attention to Detail.
- Native Language Proficiency.
- Operational Excellence.
- Research and Data Analysis.
Benefits
- Industry leading healthcare.
- Educational resources.
- Discounts on products and services.
- Savings and investments.
- Maternity and paternity leave.
- Generous time away.
- Giving programs.
- Opportunities to network and connect.
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