Data Labeler
Core
Create high-quality training datasets (text, audio, images) for AI/ML models used in enterprise information archiving and surveillance solutions.
Role type
Data Labeler / Data Annotator
Builds
Training datasets for artificial intelligence and machine learning solutions
Domain
Enterprise information archiving, surveillance, eDiscovery, and analytics
Deliverable
production ML models
Required skills
Data labeling, text annotation, audio transcription, image annotation, data classification, pattern identification, synthetic data creation, taxonomy definition, prompt authoring, quality review
Preferred skills
Experience with Label Studio or Audino, manual QA for software/games, proficiency in languages beyond English
Technologies
Label Studio, Audino, Microsoft Word, Microsoft Excel
Responsibilities
Gather representative datasets based on criteria; Label text for tone, sentiment, or business theme; Transcribe and label audio data; Add metadata and identify regions of interest in images; Categorize data into different categories; Identify patterns, trends, and outliers; Create synthetic data based on patterns; Review own and others' work for quality; Define and maintain data taxonomy; Author and maintain prompts for models; Define annotation guidelines; Test prompts to verify quality; Benchmark datasets; Research background information to enhance accuracy; Collaborate with data scientists and developers on data generation initiatives.
Seniority
Entry-level to Junior (1+ years experience)
