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LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

Job Description

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. 

HALO is a team of innovative and passionate AI Linguists, Machine Learning Engineers, Front-end Engineers, System Engineers, and Program Managers who are driven by an ambitious and exciting charter. The team creates leading-edge AI resources, automated platforms and technologies needed to understand, enhance and revolutionize the Linkedin experience of 1B members.

HALO is the quality, evaluation and data annotation partner across AI at Linkedin, supporting multiple AI teams and products to make a difference and accelerate progress. HALO works directly on job recommendation quality, on launching Generative AI systems for content recommendations, on human and automated evaluation of Linkedin ventures and many more.

Role & Responsibilities

• Implement solutions to solve ambiguous and unstructured AI quality, evaluation and data annotation problems using a variety of methods, including Generative AI prompting, human, hybrid approaches.

• Design and develop comprehensive and automated evaluation methods to measure AI models and products’ performance to ensure high-quality performance for LinkedIn members

• Implement end-to-end workflows to build scalable data annotation pipelines to deliver high-quality datasets using a variety of methods, including generative AI prompting, human, hybrid approaches to enable accurate and reliable AI modeling

• Create and curate qualitative concepts that are used across various LinkedIn's solutions to describe, standardize and accurately measure and understand Linkedin content using human, automated, and hybrid methods.

• Develop human judgment pipelines to label high-quality data at scale and conduct data-driven analysis to inform next development cycles

• Participate in AI quality, evaluation and data annotation initiatives with engineering and product partner teams to design and build innovative AI solutions in alignment with LinkedIn's strategy.

• Work in close collaboration with a talented and highly collaborative team of AI engineers and AI linguists to tackle large-scale content understanding and recommendation problems.

• Create and maintain high-quality documentation to build maintainable artifacts, inform product decisions, and support partners.

• Participate in conducting comprehensive reviews of team designs and solutions, analyzing results and implementation details across multiple initiatives

• Communicate effectively with internal teams and product partners.

Basic Qualifications

• B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics, Speech Science or a related field.

• 1+ year relevant industry experience.

• Experience with any of the following in the context of consumer-facing product development:

• Experience with large-scale collection of human judgments (e.g. crowdsourcing working with vendors and managed service providers), or prompt engineering for automated evaluation / data annotation.

• Experience with developing annotated corpora to train and evaluate machine learning models.

• Experience with leading small projects

• Fluent in spoken and written English.

• Experience programming in Python or any other scripting language

Preferred Qualifications

• MS or Ph.D. in Computational Linguistics, Language Technologies, Linguistics, Speech Science or a related field.

• Experience delivering evaluation solutions for AI-driven user-facing products.

• Strong communication skills, attention to detail, and proven ability to manage priorities.

• Substantial experience in at least one programming language is a plus.

Suggested Skills:

Communication

Collaboration

Designing end to end workflows

Experience develop human labeling pipelines

Experience programming and scripting

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This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice

All Dublin jobs at LinkedIn are available under our ReturnIn Scheme, for people returning to work from family or care responsibilities. This will include extra support through interview stage, and if successful, an extended induction according to your needs. To access the scheme just let your recruiter know that you're a returner when you apply.