Job Description

Job Responsibilities:

• Design and conduct experiments evaluating end-to-end quality.
• Develop manual and automated processes for multiple concurrent projects including ensuring high-quality label alignments, annotation fidelity, and guideline adherence.
• Create and perfect human and automated annotation solutions for text, audio, image, and video data.
• Use LLMs in ad-hoc automated reporting

Skills:

• Python, SQL, LLMs.
• Knowledge of human annotation workflows including annotation metrics and applied statistical methods.
• Academic linguistics background preferred.
• Excellent communication skills both verbal and written.
• Python, SQL, LLMs.
• Knowledge of human annotation workflows including annotation metrics and applied statistical methods.
• Excellent communication skills both verbal and written
• Data Science Background.
• Academic linguistics background preferred. Masters or PHD preferred.

Education/Experience:

• Bachelor’s degree in linguistics, language technologies, computational linguistics, speech science, statistics, computer science, or related field.

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