In this role, you will work on categorizing and annotating data according to well-defined criteria, ensuring accuracy and consistency to enhance AI/ML models’ performance.
What We Offer
Competitive compensation is based on quality and output.
Flexible work schedules to accommodate your availability.
Access to training and resources for continuous skill improvement.
Opportunities to contribute to diverse and innovative AI projects.
Responsibilities
Classify and annotate data accurately based on project guidelines.
Ensure consistency and maintain high-quality standards across all tasks.
Collaborate with project managers to clarify guidelines or resolve ambiguities.
Meet annotation volume targets while adhering to deadlines.
Provide constructive feedback on tools and processes to optimize workflows.
Required skills
Previous experience in data annotation, especially classification tasks.
Strong attention to detail with the ability to follow guidelines precisely.
Excellent time management and communication skills.
A reliable internet connection and the ability to work independently.
Preferred skills
Familiarity with data labeling tools and platforms (preferred).
A basic understanding of AI/ML concepts is a plus.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
Hiring companyMacgence
