Jobs · Information Technology

Data Annotator

Quik Hire Staffing · United States · Today
RemoteRemoteInformation TechnologyContract
Role: Data AnnotatorLocation: RemoteJob Type: ContractPayout: Competitive, based on experience Role Overview:We are hiring for one of our clients, seeking a Data Labeling Specialist: Remote Contract to work on a contract basis. Responsibilities include annotating datasets to train machine learning models and ensuring high-quality labeled data for AI development projects. The role requires attention to detail and adherence to specific labeling guidelines. Work will be performed remotely with periodic on-site collaboration as needed. Key Responsibilities:• Label and annotate datasets according to provided guidelines to support AI model training.• Review and validate labeled data to ensure accuracy and consistency across large-scale datasets.• Identify and report discrepancies or inconsistencies in labeling to improve data quality.• Collaborate with project teams to clarify labeling requirements and resolve ambiguities.• Maintain documentation of labeling processes and adhere to project timelines. Required Skills & Qualifications:• Experience with data annotation, labeling, or data processing.• Proficiency in using labeling tools or platforms for AI/ML datasets.• Strong attention to detail and ability to follow structured guidelines.• Familiarity with machine learning concepts and data formats.• Ability to work independently with minimal supervision in a remote environment.• Basic understanding of text, image, audio, or video data labeling as applicable.• Excellent written and verbal communication skills for reporting issues and clarifications.• Prior experience in a quality assurance or data validation role is preferred. More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet | Data Infrastructure and Analytics | AI Services industry, contributing to the development of cutting-edge AI models. The position provides exposure to large-scale data projects with structured workflows and clear performance metrics. Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications. Apply Now!

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