Information Manager (Remote)

Role: Information Manager (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 Human Data Manager to work on a full-time basis. This role involves overseeing data collection, validation, and management processes to ensure accuracy and usability for downstream applications. Key Responsibilities: • Maintain and update human-annotated datasets used for training and evaluating AI models. • Review and validate data labels to ensure consistency and quality across datasets. • Collaborate with cross-functional teams to identify data requirements and resolve annotation discrepancies. • Document data collection methodologies, labeling guidelines, and quality control procedures. • Monitor data pipeline performance and implement improvements to enhance efficiency. Required Skills & Qualifications: • Experience with data annotation, validation, or quality assurance processes is required. • Proficiency in tools for data labeling, such as Label Studio or Prodigy, is preferred. • Familiarity with spreadsheets, databases, or data management platforms is necessary. • Attention to detail and ability to follow structured guidelines for data processing tasks. • Strong written communication skills for documenting processes and guidelines. More About the Opportunity: This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of high-quality AI training datasets. The position supports scalable data solutions that improve model performance across multiple applications. 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!

The role involves overseeing the collection, validation, and management of human-annotated datasets for AI model training. Key duties include reviewing data labels for consistency and documenting collection methodologies and quality control procedures.

Candidates must have experience in data annotation and quality assurance, with proficiency in spreadsheets and databases. Familiarity with labeling tools like Label Studio or Prodigy is preferred.

• Assurance qualitéSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Annotation
• Data Validation
• Quality Assurance
• Label Studio
• Prodigy
• Data Management
• Spreadsheets
• Databases
• Written Communication
• Process Documentation

• Data & Analytics
• Technology
• Science & Research
• Software

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate