Job Title: Data Labelling Specialist – Remote
Location: Remote (Nigeria, Ghana, Kenya)
Job Type: Full-time
Salary: $2,000 per month
About the Company:
We are a cutting-edge artificial intelligence company seeking a highly skilled Data Labelling Specialist to join our team. As a Data Labelling Specialist, you will play a critical role in annotating and labeling datasets with precision and consistency, enabling our machine learning models to learn and improve.
Job Summary:
We are looking for a detail-oriented and meticulous individual who can follow detailed labeling guidelines to ensure consistency and accuracy. The successful candidate will review and validate labeled data to maintain quality standards, ensuring that our datasets are accurate, reliable, and effective in training our AI models.
Key Responsibilities:
– Follow detailed labeling guidelines to ensure consistency and accuracy
– Review and validate labeled data to maintain quality standards
– Annotate and label datasets with precision and consistency
– Collaborate with our data science team to ensure that datasets meet the required standards
– Identify and report any data quality issues or inconsistencies
– Continuously improve labeling guidelines and processes to ensure high-quality datasets
Requirements:
– Bachelor’s degree in Computer Science, Linguistics, or a related field
– Proven experience in data labeling, annotation, or a related field
– Excellent attention to detail and ability to follow instructions
– Strong analytical and problem-solving skills
– Ability to work independently and collaboratively as part of a team
– Familiarity with data labeling tools and platforms
– Strong communication and reporting skills
What We Offer:
– Competitive salary of $2,000 per month
– Opportunity to work with a cutting-edge AI company
– Collaborative and dynamic work environment
– Professional development and growth opportunities
– Flexible remote work arrangement
How to Apply:
Link: https://app.loubby.ai/company/loubby-ai-6395b481/jobs/67c5573f5842ef2538b6b904
