Data Annotator

As a Data Annotator at Aisera, you will play a vital role in generating accurate and consistent annotations to facilitate the training, benchmarking, and development of NLP models. You will collaborate closely with data scientists, machine learning engineers, and other cross-functional teams to contribute to the growth of innovative AI products. Your responsibilities will include creating high-quality annotations for various data types, assisting in the development of annotation guidelines, participating in annotation review meetings, and staying updated with the latest advancements in NLP and annotation methodologies.

• Create high-quality annotations for a variety of data types, including text, audio, and visual data, adhering to established guidelines and quality standards.
• Collaborate closely with data scientists and machine learning engineers to understand annotation requirements and contribute to the creation of effective training datasets.
• Assist in developing and refining annotation guidelines and processes to ensure consistency and accuracy in data labeling.
• Participate in regular annotation review meetings to ensure alignment with project goals and data quality objectives.
• Contribute to the identification and resolution of annotation challenges, providing valuable insights and suggesting improvements.
• Maintain detailed documentation of annotation processes, decisions, and challenges for future reference.
• Stay updated with the latest advancements in NLP and annotation methodologies to enhance the quality and efficiency of annotation efforts.

• Create high-quality annotations for text, audio, and visual data
• Adhere to established guidelines and quality standards for data annotation
• Collaborate with data scientists and machine learning engineers to understand annotation requirements
• Contribute to the creation of effective training datasets
• Assist in developing and refining annotation guidelines and processes
• Participate in regular annotation review meetings
• Ensure alignment with project goals and data quality objectives
• Identify and resolve annotation challenges
• Provide valuable insights and suggest improvements
• Maintain detailed documentation of annotation processes, decisions, and challenges
• Stay updated with the latest advancements in NLP and annotation methodologies

• Medical, dental, and vision benefits
• Holidays and flexible PTO
• Paid family leave
• Stock Options