Role: Human Data Specialist (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $40 - $60/hour
Role Overview:We are hiring for one of our clients, seeking a Senior Human Data Manager to work on a full-time basis. This role involves overseeing data collection, validation, and annotation processes to ensure high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives.
Key Responsibilities:• Design and implement data annotation guidelines to maintain consistency and accuracy across datasets.• Lead and mentor a team of human annotators, ensuring adherence to project timelines and quality benchmarks.• Collaborate with cross-functional teams to identify data requirements for AI model training and evaluation.• Monitor data annotation workflows for efficiency, scalability, and alignment with client-specific standards.• Contribute to the development of data quality assessment frameworks and performance metrics.
Required Skills & Qualifications:• Experience in managing large-scale data annotation projects with a focus on AI/ML training datasets.• Proficiency in data validation techniques and quality control processes for structured and unstructured data.• Strong leadership skills to guide annotator teams and optimize workflow performance.• Familiarity with annotation tools such as Label Studio, Prodigy, or similar platforms.• Ability to interpret technical requirements and translate them into clear annotation instructions.
More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI-driven solutions through high-quality human-annotated data. The position requires remote collaboration with international teams to meet diverse project demands.
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.
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