Company Description 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 This role will be based in New York, Mountain View or San Francisco.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can.

LinkedIn is seeking a thoughtful, creative prompt engineer and AI linguist with strong editorial judgment to join our Editorial AI team. This team sits at the intersection of LinkedIn News and LinkedIn Learning, exploring how generative AI can improve editorial workflows, develop innovative member-facing products and power the future of learning on LinkedIn.

The ideal candidate will possess experience in AI data annotation design, annotator training, content strategy, or linguistics, along with a strong interest or experience working in machine learning and/or data analysis. They will be adept at working cross-functionally; experience working with product managers and engineers is a plus.

This role focuses on designing and evaluating annotations involving editorial and natural language classification tasks. It will involve validating large-scale editorial data annotations used to develop, evaluate, and vet machine-learning classifiers and generative AI systems.

This role requires creative thinking, collaborative problem solving and a keen interest in exploring how to build new tools and solve different editorial challenges using generative AI. Coding experience, particularly with Python, is a plus.

You will also be a nimble operator, able to juggle multiple projects and deadlines at once. The ideal candidate will be cool-headed under pressure and comfortable working on projects that may involve ambiguity and no single, immediate solution.

Responsibilities:

• Drafting annotation guidelines and developing robust, scalable annotation plans.
• Analyzing annotation results to assess data quality, consistency, and model readiness (including inter-annotator agreement and reliability metrics).
• Drafting and testing generative AI prompts to power editorial and learning products at LinkedIn

Qualifications Basic Qualifications:

• 3+ years experience in linguistics, data annotation work (including guideline development or quality review), journalism, content strategy, or similar role
• Experience working with generative AI tools (e.g., ChatGPT, Claude, etc.)

Preferred Qualifications:

• Proficiency in Python (especially for prompt iteration, evaluation or data analysis).
• Demonstrated interest in AI/ML and/or natural language processing.
• Understanding of key prompt engineering/LLM concepts (few-shot prompting, model fine-tuning, etc.).
• Familiarity with SQL, Jupyter and/or Git.
• Experience working cross-functionally with technical teams.

Suggested Skills: Data annotation design and guidelines development

Strong editorial judgment

Creative problem solving

Cross-functional collaboration

Prompt engineering

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $100,000 to $161,000. 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 https://careers.linkedin.com/benefits.

Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

• Documents in alternate formats or read aloud to you
• Having interviews in an accessible location
• Being accompanied by a service dog
• Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.