Data Annotator

Zizy Inc.; New York (NY); Hybrid; USD 36,000 - 48,000; Full time

Benefits offered by this job

Mental health support

Generous time off

Paid parental leave

Learning & development stipend

Job summary

Zizy Inc. is seeking a Data Annotation Associate in New York to support AI research and deployment efforts. You will annotate images by drawing bounding boxes, categorize content, and help curate data for model training.

The role requires attention to detail, strong communication, and a passion for learning in AI and machine learning. Join a team focused on scalable data quality, collaboration with researchers, and ongoing improvements to annotation tools and processes.

Qualifications

• Basic computer literacy and IT experience required.
• Ability to handle large data sets on a regular basis.
• Able to perform repetitive tasks with minimal errors.
• Excellent communication, analytical and reasoning skills.
• Motivation to learn and grow in AI/ML.
• Strong interest in Artificial Intelligence and deep learning.

Responsibilities

• Annotate images by drawing boxes to highlight areas of interest.
• Collaborate with researchers to understand input data and labeling needs.
• Report issues from data annotation to the Research team and suggest fixes.
• Provide feedback to improve data annotation tools and workflows.
• Contribute to workflow process improvements within the team.

Skills

Basic computer literacy

IT experience

Large data sets handling

Attention to detail

Strong communication

Learning mindset

Job description

The Data Annotation team is responsible for sourcing, cleaning, curating, and annotating data for the Applied AI Engineering team.

In order to excel in this role, you should:

• Collaborate with researchers to determine and understand input data and annotate by drawing boxes to highlight areas of interest of images
• Support researchers in training deep learning models through accurately categorizing content, labelling images and annotating data
• Report and document issues faced from data annotation to Research team and discuss solutions to improve data
• Provide feedback for improvement to existing tools that can improve the accuracy and quality of deep learning models
• Contribute to workflow process improvements

You will excel in this role if you have:

• Preferably with basic computer literacy and IT experience
• Comfortable to handle large data sets on a regular basis
• Ability to work on repetitive tasks efficiently and effectively with minimal errors
• Excellent communication, analytical and with good reasoning skills
• Possess high motivation with the desire to learn
• Strong interest in Artificial Intelligence and machine learning, especially in deep learning

Zizy is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

At Kya, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Benefits and Perks

• Mental health and wellness support
• Generous time off policy
• Paid parental leave and family-planning support
• Annual learning & development stipend

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. Pursuant to the NewYork Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via our careers email.