Sr. AI Linguist

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 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.

Job Description

Design and 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
Drive 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
Create and maintain high-quality documentation to build maintainable artifacts, inform product decisions, and support partners.
Mentor other AI Linguists and participate in conducting comprehensive reviews of team designs and solutions, analyzing results and implementation details across multiple initiatives.
Contribute to various AI Linguist org program activities, including planning, prioritization, training, documenting processes, to enable and maintain effective high-quality standards in the team.
Communicate effectively with internal teams and product partners, and ensure understanding of AI Linguist work with collaborators and partners.

Basic Qualifications
- B.S./B.A Degree in Computational Linguistics, Language Technologies, Linguistics, Speech Science or a related field.
- 2+ years relevant industry experience.
- 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 and actively participating in project working groups.
- 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.
Track record on leading small-medium, impactful, cross-functional projects and initiatives that are forward-thinking and shape the future roadmap of a business
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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