Data Annotation Specialist, AI Model Trainer
hace 3 semanas
Microsoft Risk, Trust, and Safety Operations (RTS & AIO) fosters a compliant and ethical business ecosystem. We proactively identify and mitigate risks to enable compliant growth.
The Data Annotation Specialist role offers an exciting opportunity to be at the forefront of cutting-edge technology by supporting Large Language and AI Models through data annotation tasks. You'll analyze diverse media formats, including images, videos, and text content, upholding the highest standards of fidelity and consistency.
This position promises a blend of creativity, problem-solving, and impactful decision-making, making it ideal for those looking to make a difference at the forefront of technology.
We're seeking a highly skilled Data Annotation Specialist to join our team. As a key member, you'll drive continuous improvement in processes and guidelines, collaborate closely with managers to shape project strategies, and foster innovation.
Your primary responsibilities will include:
• Analyzing content, extracting information, and finding patterns in how models are behaving
• Developing, testing, and communicating recommendations based on your findings
• Collaborating with team members on day-to-day problem solving, reporting on trends/analysis findings, and projects assigned by managers
• Working with offensive and mature material to train AI models for the protection of Microsoft's customers
• Using in-house tools to transcribe and annotate data for various projects
Qualifications include:
• Bachelor's Degree in Business, Operations, Finance, or related field; OR equivalent experience
• 1+ year(s) experience working with stakeholders in a project or program
• Ability to transcribe and annotate data from sources, including transcription (text) for audio clips or annotating text or images
• Business level fluency to read, write, and speak English and Spanish
Preferred qualifications include:
Linguistics or computational linguistic background, experience in language technology, analytical skills, attention to detail, native language proficiency, operational excellence, research, and data analysis.
Salary: $80,000 - $110,000 per year, depending on location and experience.
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