Staff 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.

Our Human Judgment, Annotation, Labeling, and Operations (HALO) team 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. Our team creates leading-edge AI resources, automated platforms and technologies needed to understand, enhance, and revolutionize the Linkedin experience of 1B members.

HALO team 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. Here is an exciting opportunity for a Staff AI Linguist to join our team within the Foundational AI Technologies (FAIT) organization at LinkedIn!

This role will be based in Sunnyvale, CA.

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.?

Responsibilities

Drive cross-functional AI quality, evaluation, and data annotation initiatives with AI and Product partners to design and build innovative AI solutions, at scale and with high quality

Develop and curate qualitative concepts that can be leveraged across LinkedIn ecosystem via human, AI, and hybrid methods

Partner with and influence cross-functional teams to enhance technical roadmaps, mitigate risks, and establish quality standards of Linkedin AI products

Lead the development of human judgment pipelines and own the quality for the enablement of AI models' goals

Provide hands-on technical leadership to all levels of AI Linguists by conducting comprehensive reviews of team designs/solutions, analyzing results, implementing details across multiple initiatives, with innovation at core

Communicate effectively across functions and elevate the understanding of AI Linguist work across the company

Qualifications

Basic Qualifications

Bachelor's degree in Computational Linguistics, Language Technologies, Linguistics or a related field

5+ years relevant industry experience

Experience with independently building and leading projects to completion

Experience with large-scale collection of human judgments (e.g. crowdsourcing) and prompt engineering for automated evaluation/data annotation

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

In-depth knowledge and understanding of the human judgment in the AI context

Background in written/spoken communication in English

Experience in programming in Python or similar scripting language

Preferred Qualifications

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

Experience delivering evaluation solutions for AI-driven products

Proven experience in driving strategy and vision for respective projects/teams as well as influencing product strategy on adjacent teams

Experience with i18n and/or multi-modal data annotation and curation is a plus

Substantial experience in at least one programming language is a plus

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $125,000 to $207,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ~~~.

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