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Labeling Annotations Specialist

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Datasite

Dec 17

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Research & Development
  • United States
    Remote
  • Quick Apply

AI generated summary

  • You need 2-3 years in labeling/annotation, experience with text projects in English, a relevant degree, familiarity with labeling platforms, and strong communication skills.
  • You will annotate data, create labeling instructions, manage projects, collaborate with teams, meet goals, and audit to provide feedback on labeling tasks for AI solutions.

Requirements

  • 2-3 years hands on experience as a labeling specialist/Annotator
  • 2-3 years completing various text labeling projects (doc classification, NER, NLP) in English
  • Training in Computer Science, Machine Learning, AI, Statistics, or related field.
  • Experience working in various labeling platforms (Labelbox, Appen, etc)
  • Natural inclination to seek understanding of customers and consider business context
  • Ability to work both independently and in conjunction with teams and product groups.
  • Ability to work on multiple projects simultaneously.
  • Ability to interact with internal/external clients/customers in a professional manner.
  • Ability to rapidly acquire new domain knowledge.

Responsibilities

  • Apply industry-leading standards to AI solutions tailored to our sophisticated, high-stakes customer base.
  • Collaborate closely with members of the AI/ML Team, Product Managers and Labeling team to deliver impactful customer solutions.
  • Annotate and provide analysis of data labeling projects.
  • Create meaningful labeling instructions that could be used internally or externally.
  • Receive Data Science requests and convert them into labeling projects; creating a viable timeline with milestones.
  • Meet daily, weekly and monthly labeling annotation goals.
  • Audit various projects and provide useful and meaningful feedback internal and external workforce.

FAQs

What is the primary role of a Labeling Annotation Specialist at Datasite?

The primary role is to annotate and analyze data labeling projects to support the Data Science team in creating quality training datasets for AI models.

What qualifications are required for this position?

Candidates should have 2-3 years of hands-on experience as a labeling specialist/annotator, experience with text labeling projects (such as document classification, NER, and NLP), and training in fields like Computer Science, Machine Learning, or Statistics.

What skills are important for this job?

Important skills include the ability to work independently and in teams, manage multiple projects simultaneously, interact professionally with clients, and rapidly acquire new domain knowledge.

What kind of experience is required with labeling platforms?

Candidates should have experience working with various labeling platforms, such as Labelbox and Appen.

Will I be working closely with other teams?

Yes, you will collaborate closely with members of the AI/ML team, Product Managers, and the labeling team to deliver impactful customer solutions.

Is there a preference for location when applying for this job?

Yes, while this is a remote opportunity within the US, there is a preference for candidates located in Minnesota (MN).

What are the key responsibilities of the role?

Key responsibilities include annotating data, creating labeling instructions, converting Data Science requests into labeling projects, meeting labeling goals, and auditing projects to provide feedback.

Does Datasite value diversity in its workforce?

Yes, Datasite is committed to maintaining a diverse workforce, recognizing that diverse perspectives are essential to their success as a global organization.

Is prior experience necessary for this position?

Yes, candidates should have 2-3 years of relevant experience in labeling or annotation work.

Will my work be noticeable within the company?

Yes, your work will be highly visible to the executive team and will inform the strategic direction of the company.

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Datasite

1001-5000
Employees
1968
Founded Year

Mission & Purpose

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions. Our customers include the world’s leading investment banks, private equity firms, law firms, and corporations, across more than 170 countries. As a global equal opportunity employer, our strength in diversity comes from you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.