Data Annotation Specialist, Modern Standard Arabic MSA

We are seeking a Data Annotation Specialist to join our team in annotating and labeling data in Modern Standard Arabic (MSA) for our machine learning models. The ideal candidate will have a strong background in linguistics, cultural competence, and technical skills in Python, machine learning, and cloud-based platforms like AWS.

As a Data Annotation Specialist, you will be responsible for annotating and labeling data to ensure high-quality training data for our machine learning models. This will involve working closely with our data science team to understand their requirements and delivering high-quality annotations on time.

The successful candidate will have excellent communication skills, attention to detail, and the ability to work independently in a fast-paced environment. If you are passionate about language, culture, and technology, and have a strong background in linguistics or a related field, we encourage you to apply.

Key Responsibilities

• Annotate and label data in Modern Standard Arabic (MSA) to ensure high-quality training data for our machine learning models.
• Work closely with our data science team to understand their requirements and deliver high-quality annotations on time.
• Develop and maintain a deep understanding of the nuances of Modern Standard Arabic (MSA) and its cultural context.
• Collaborate with other teams to ensure seamless integration of annotated data into our machine learning pipelines.
• Identify and escalate any issues or concerns related to data quality or annotation.

Requirements

• Bachelor's degree in Linguistics, Arabic Language and Literature, or a related field.
• Strong background in Modern Standard Arabic (MSA) and cultural competence.
• Excellent communication and interpersonal skills.
• Ability to work independently in a fast-paced environment.
• Technical skills in Python, machine learning, and cloud-based platforms like AWS.