You will define and safeguard Grok's distinctive voice: witty, culturally fluent, effortlessly charming, and never cringeworthy.
\nResponsibilities: Review and score AI model responses based on criteria such as humor effectiveness, timing, engagement, and conversational naturalness (using provided rubrics). Write or revise sample responses to maximize user engagement and entertainment, while ensuring factual accuracy. Maintain consistency in Grok's personality traits across varied topics (e.g., casual chat, technical explanations, philosophical discussions, humor). Create and label training datasets focused on elements like humor, irony, banter, and cultural references. Work with engineering teams to develop evaluation tasks that test and strengthen Grok's defined personality traits.
\nBasic Qualifications: Advanced proficiency in English, including idioms, rhythm, tone, and nuance (native or equivalent level). Public portfolio with examples of humorous, engaging, or charismatic writing (e.g., published articles, social media threads, scripts, or viral content; provide links). Strong ability to identify tonal inconsistencies, poor pacing, or ineffective phrasing in text. Proven track record of creating writing that is consistently humorous, clever, or engaging, with evidence of broad appeal (e.g., metrics like views, shares, likes, or publications). Extensive knowledge of current internet culture (memes, trends, platforms) and historical/cultural references.
\nPreferred Skills and Experience: Professional experience in comedy writing, screenwriting, viral content, improvisation, or performance.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_ca070533-cb4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com/","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/5017511007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $70/hour","x-skills-required":["English","humor","engagement","conversational naturalness","training datasets","evaluation tasks"],"x-skills-preferred":["comedy writing","screenwriting","viral content","improvisation","performance"],"datePosted":"2026-04-18T15:44:41.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"English, humor, engagement, conversational naturalness, training datasets, evaluation tasks, comedy writing, screenwriting, viral content, improvisation, performance"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cc9d92de-913"},"title":"Research Engineer / Research Scientist, Vision","description":"We're looking for research engineers with a strong computer vision background to work on research, development, and evaluation for state-of-the-art Claude models. In this role, you'll run experiments to evaluate architectural variants, data strategies, and SL and RL techniques to improve Claude's vision. You'll also develop and test tools, skills, and agentic infrastructure that enable Claude to reason over visual inputs. Additionally, you'll create evaluations and benchmarks that measure progress on multimodal capabilities across training and deployment.
\nAs a research engineer, you'll partner with the product org to ensure that the vision improvements you deliver impact Claude's performance on real-world tasks. You'll also work with our product org to find solutions to our most vexing API customer challenges related to vision and spatial reasoning.
\nStrong candidates may also have experience with large-scale pretraining, SL, and RL on language models, deep learning research on images, video, or other modalities, developing complex agentic systems using LLMs, high-performance ML systems (GPUs, TPUs, JAX, PyTorch), and large-scale ETL and data pipeline development.
\nThe annual compensation range for this role is $350,000-$850,000 USD.
\nXML job scraping automation by YubHub
","url":"https://yubhub.co/jobs/job_cc9d92de-913","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5074217008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$350,000-$850,000 USD","x-skills-required":["computer vision","ML","software engineering","large vision language models","synthetic and real-world visual training datasets","systematic prompting, finetuning, or evaluation"],"x-skills-preferred":["large-scale pretraining","SL","RL","deep learning research","agentic systems","high-performance ML systems","ETL and data pipeline development"],"datePosted":"2026-04-18T15:42:18.530Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York City, NY; San Francisco, CA; Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"computer vision, ML, software engineering, large vision language models, synthetic and real-world visual training datasets, systematic prompting, finetuning, or evaluation, large-scale pretraining, SL, RL, deep learning research, agentic systems, high-performance ML systems, ETL and data pipeline development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":350000,"maxValue":850000,"unitText":"YEAR"}}}]}