Data Entry Specialist
Gini Talent, New Bremen, OH, United States
We are looking for a
Data Entry Specialist
to support the development of machine learning models by ensuring high-quality data labeling and annotation. In this role, you will work closely with data scientists and engineers to prepare accurate and reliable datasets that will directly impact the performance of AI solutions.
If you have a strong attention to detail and experience in data annotation, we would love to hear from you.
Responsibilities
Annotate and label different types of data according to project guidelines and specifications
Review annotated data to ensure accuracy and consistency, making corrections when necessary
Collaborate with data scientists and engineers to deliver high-quality datasets for machine learning models
Maintain well-organized records of annotated data and revisions
Identify and report data quality issues in a timely manner
Apply new annotation techniques and tools to improve efficiency and accuracy
Meet project deadlines and deliver tasks within defined timelines
Requirements
Experience with data annotation tools such as Labelbox, Annotate, or similar platforms
Ability to accurately label datasets for machine learning models
Strong attention to detail and commitment to data quality
Familiarity with annotation techniques such as bounding boxes, segmentation, and keypoint labeling
Experience working with image, video, and audio datasets
Ability to work in a fast-paced environment and meet deadlines
Strong communication and teamwork skillsUnderstanding of data privacy and security principles
Ability to work with large and complex datasets
Strong problem-solving skills and ability to resolve annotation challenges
#J-18808-Ljbffr
Data Entry Specialist
to support the development of machine learning models by ensuring high-quality data labeling and annotation. In this role, you will work closely with data scientists and engineers to prepare accurate and reliable datasets that will directly impact the performance of AI solutions.
If you have a strong attention to detail and experience in data annotation, we would love to hear from you.
Responsibilities
Annotate and label different types of data according to project guidelines and specifications
Review annotated data to ensure accuracy and consistency, making corrections when necessary
Collaborate with data scientists and engineers to deliver high-quality datasets for machine learning models
Maintain well-organized records of annotated data and revisions
Identify and report data quality issues in a timely manner
Apply new annotation techniques and tools to improve efficiency and accuracy
Meet project deadlines and deliver tasks within defined timelines
Requirements
Experience with data annotation tools such as Labelbox, Annotate, or similar platforms
Ability to accurately label datasets for machine learning models
Strong attention to detail and commitment to data quality
Familiarity with annotation techniques such as bounding boxes, segmentation, and keypoint labeling
Experience working with image, video, and audio datasets
Ability to work in a fast-paced environment and meet deadlines
Strong communication and teamwork skillsUnderstanding of data privacy and security principles
Ability to work with large and complex datasets
Strong problem-solving skills and ability to resolve annotation challenges
#J-18808-Ljbffr