Data Labeling Specialist | Buenos Aires | Remote
hace 6 días
Data Labeling Specialist Position Type: Full-TimeLocation: Remote Apply here: Job Summary We are seeking a detail-oriented and reliable Data Labeling Specialist to support our machine learning and AI initiatives. In this role, you will be responsible for accurately labeling, categorizing, and annotating data to help train and improve machine learning models. The ideal candidate has strong attention to detail, can follow detailed guidelines, and is comfortable working with large volumes of data. Key Responsibilities Label and annotate data such as text, images, audio, or video according to provided guidelines Ensure high accuracy and consistency in data labeling tasks Review and validate labeled data to meet quality standards Follow project-specific instructions, taxonomies, and annotation rules Identify and flag ambiguous or low-quality data for review Meet productivity and accuracy targets within assigned deadlines Collaborate with team leads, QA teams, and AI/ML engineers when needed Maintain data confidentiality and comply with security and privacy policies Required Qualifications Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with web-based tools Ability to work independently with minimal supervision Ability to handle repetitive tasks while maintaining accuracy Preferred Qualifications Previous experience in data labeling, data annotation, or QA roles Familiarity with AI, machine learning, or NLP concepts Experience labeling text, images, audio, or video data Basic understanding of spreadsheets or annotation platforms Excellent focus and precision Time management and organizational skills Analytical thinking Adaptability to changing guidelines Team-oriented mindset Apply here: #J-18808-Ljbffr
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Remote Data Labeling Specialist
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Buenos Aires, Argentina CONEXIONHR A tiempo completoA data services company is seeking a Data Labeling Specialist to support machine learning and AI initiatives. The ideal candidate will accurately label and annotate data to train and improve models. This remote role requires strong attention to detail, the ability to follow guidelines, and proficiency in handling large data volumes. Responsibilities include...
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Sales Enablement
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