About the position
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. Collaborating closely with data scientists, machine learning engineers, and other cross-functional teams, you will 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, and staying updated with the latest advancements in NLP and annotation methodologies. Join our dynamic and fast-paced team to be a part of revolutionizing the industry.
Responsibilities
- Create high-quality annotations for various data types, including text, audio, and visual data, following established guidelines and quality standards.
- Collaborate closely with data scientists and machine learning engineers to understand annotation requirements and contribute to the development of effective training datasets.
- Assist in the development and refinement of 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.
- Communicate effectively with cross-functional teams to understand project requirements and deliver high-quality annotations.
Requirements
- Create high-quality annotations for various data types (text, audio, visual) following established guidelines and quality standards
- Collaborate with data scientists and machine learning engineers to understand annotation requirements and contribute to the development of training datasets
- Assist in developing and refining annotation guidelines and processes for consistency and accuracy in data labeling
- Participate in annotation review meetings to ensure alignment with project goals and data quality objectives
- Contribute to identifying and resolving annotation challenges, providing insights and suggesting improvements
- Maintain detailed documentation of annotation processes, decisions, and challenges
- Stay updated with advancements in NLP and annotation methodologies to enhance annotation quality and efficiency
- Communicate effectively with cross-functional teams to understand project requirements
Benefits
- Competitive base pay range of $80,000 - $110,000
- Eligibility for benefits, bonuses, commissions, and/or equity
- Opportunity to work with AI Copilot solutions and innovative AI products
- Collaboration with data scientists, machine learning engineers, and cross-functional teams
- Responsibility and ownership of work
- Wide range of backgrounds and experiences among team members
- High degree of empathy for customers and colleagues
- Opportunity to contribute to the growth of the company and revolutionize the industry
- Exposure to the latest advancements in NLP and annotation methodologies
- Opportunity to enhance annotation skills and techniques
- Communication and collaboration with cross-functional teams
- Equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, or veteran status.