AI Data Specialist
Required Skills
JSON
Data Annotation
Job Description
Job Title: AI Data Specialist
Job Type: Contractual
Location: Remote
Job Summary
Join our customer's team as an AI Data Specialist, where your expertise will have a direct impact on the development of cutting-edge AI solutions. This role is ideal for a detail-oriented professional who thrives in remote environments and is passionate about high-quality data curation, annotation, and communication. Collaborate cross-functionally to ensure robust data foundations that power innovative machine learning applications.
Key Responsibilities
- Curate, annotate, and validate datasets to support AI and machine learning model development.
- Work extensively with JSON data structures to structure, clean, and transform complex datasets.
- Collaborate closely with data scientists and engineers to interpret data requirements and resolve ambiguities.
- Develop and maintain data annotation guidelines, ensuring consistency and quality across projects.
- Perform rigorous data quality checks and proactively identify errors or outliers for resolution.
- Document workflows and processes clearly for both technical and non-technical stakeholders.
- Communicate insights, challenges, and status updates effectively in both written and verbal channels.
Required Skills and Qualifications
- Proven experience in data annotation and curation within AI or machine learning environments.
- Advanced proficiency in working with JSON data formats and related tools.
- Exceptional written and verbal communication skills, with a strong attention to detail.
- Ability to work independently in a fully remote setting while collaborating within a distributed team.
- Strong analytical problem-solving skills and the ability to adapt to evolving project needs.
- Solid organizational skills and a knack for managing multiple data projects simultaneously.
- Demonstrated commitment to maintaining data integrity and consistency.
Preferred Qualifications
- Experience with annotation platforms or tools commonly used in AI projects.
- Background in computer science, data science, or a related technical field.
- Familiarity with large-scale data management and quality control processes.