Member of Technical Staff - Data Annotation Lead
Are you passionate about advancing the partnership between humans and computers? Join our team as a Member of Technical Staff: Data Annotation Lead. This role is essential for creating high-quality annotated data that powers our machine learning models, contributing to groundbreaking AI solutions.
About Us
We are a dynamic and innovative company dedicated to creating exceptional end-user experiences through comprehensive innovation, from user interfaces to underlying models. Our small, focused team is motivated to solve challenging real-world AI problems. Supported by leading investors, we are well-capitalized and ready to make significant strides in AI technology.
About the Role
As a Member of Technical Staff: Data Annotation Lead, you will be at the forefront of our data annotation efforts. You will collaborate with cross-functional stakeholders to gather and curate critical annotated data, ensuring our models perform optimally. This role demands strong analytical skills, attention to detail, and the ability to work efficiently and accurately.
What We Offer You
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and innovative work environment
- Relocation assistance for new employees
Key Responsibilities
- Partner strategically with cross-functional stakeholders to understand user objectives and translate them into data annotation specifications.
- Develop and manage annotation timelines, balancing realistic goals with aspirational targets.
- Create and implement an effective annotation program, including clear instructions for annotators and quality checks to ensure data accuracy and consistency.
- Meet deadlines and productivity targets while maintaining high accuracy rates.
- Identify opportunities for process improvement and automation in data annotation workflows.
Ideal Candidate Qualifications
- Experience in data annotation or related roles, with a solid understanding of annotation techniques and best practices.
- Familiarity with annotation tools/software; experience in building or designing custom annotation tools is a plus.
- Strong analytical and problem-solving skills with an eye for detail.
- Excellent communication and collaboration skills, able to work effectively in a team environment.
- Experience with annotating text (structured and unstructured), images, audio, and/or video data.
- Knowledge of machine learning concepts and workflows is desirable but not required.
- Ability to translate high-level dataset descriptions into specific requirements, iterating on the annotator interface and interaction mechanism.
- Previous experience in building or leading a data annotation team is advantageous.
We encourage you to apply even if you do not meet all the above criteria but are eager to push the boundaries of these techniques.
Relevant Key Words: Machine Learning, Data Annotation, Applied AI, Software Engineer, LLM, Large Language Model, Python, Typescript, Deep Learning, Algorithms
