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Annotation Labelling Jobs in New York (NOW HIRING)

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr

Own data annotation projects end-to-end, translating complex AI/ML requirements into clear ... structured labeling work * Demonstrated ability to engage effectively with both technical ...

Strategic Projects Lead

New York, NY · On-site

$150K - $300K/yr (+ commission)

Own data annotation projects end-to-end, translating complex AI/ML requirements into clear ... structured labeling work * Demonstrated ability to engage effectively with both technical ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Showing results 21-40

Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in New York?

For Annotation Labelling jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Annotation Labelling jobs?

Cities in New York with the most Annotation Labelling job openings:

AI Training Specialist - Japanese Linguist

Manhattan, NY • On-site

BAM Ventures
Investment Clubs and Venture Capital Companies • 1 - 10 employees

Other

Posted 23 days ago


Job description

About Rise Data Labs

Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation.

Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data.

At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI.

Job Overview

We are seeking a detail-oriented AI Training Specialist fluent in Japanese to join our team at Rise Data Labs. In this role, you will leverage your linguistic expertise and attention to detail to train and improve AI models through data annotation and labeling. You will play a crucial role in reviewing and validating AI-generated content for accuracy, ensuring high-quality data for machine learning applications.

Key Responsibilities
  • Annotate and label data sets to train AI models effectively.
  • Review AI-generated content for accuracy and relevance.
  • Provide domain expertise to enhance AI model performance.
  • Collaborate on various AI training projects across different fields.
  • Ensure high-quality data for machine learning applications.
Required Skills and Qualifications
  • Fluency in Japanese (both written and spoken).
  • Strong attention to detail and commitment to quality assurance.
  • Experience with data annotation and AI training processes.
  • Ability to work independently and manage time effectively.
  • Basic understanding of machine learning concepts.
Preferred Qualifications
  • Experience in linguistics or language processing.
  • Familiarity with AI tools and software.
  • Previous experience in a similar role within the tech industry.
What We Offer

At Rise Data Labs, we value our employees and offer competitive compensation, flexible working hours, and opportunities for professional growth. Join us and be part of a dynamic team dedicated to advancing AI technologies!

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BAM Ventures logo

About BAM Ventures

Sourced by ZipRecruiter

Industry

Investment clubs and venture capital companies

Company size

1 - 10 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2014