Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: We are seeking a versatile AI Language Engineer to design, build, and enhance natural language systems that power intelligent products and experiences, spanning both text and speech domains. This role combines linguistic insight, applied NLP expertise, and AI engineering execution to advance language understanding, generation, and evaluation across real-world applications. The AI Language Engineer will collaborate with product and engineering teams to translate language challenges into scalable AI solutions. Responsibilities: AI Language Engineering & Model Work - Design, develop, and refine large language model (LLM) workflows, including context engineering, prompt design, and evaluation frameworks to steer and improve model behaviors. - Build language processing components for features such as intent detection, entity recognition, summarization, retrieval-augmented generation (RAG), and conversational response quality. - Develop speech-to-text (ASR) and text-to-speech (TTS) workflows and evaluation frameworks, bridging audio-feature/signal-level processing with LLM-driven reasoning and orchestration. - Fine-tune and evaluate models using quantitative and qualitative metrics to ensure robust performance across tasks. Applied NLP & Linguistic Analysis - Analyze model outputs and conversational data to identify patterns, gaps, and failure modes, translating findings into actionable improvements. - Define and apply linguistic evaluation criteria to ensure tone, clarity, intent understanding, and contextual accuracy. - Experiment with prompt structures, retrieval strategies, and linguistic patterns to improve accuracy and robustness. Data & Experimentation - Drive R&D-style exploration on cutting-edge speech and language systems where best practices are still emerging, rapidly prototyping novel approaches and validating them through rigorous experimentation. - Lead data preprocessing, annotation, and language dataset creation, building reliable training and evaluation corpora. - Design experiments to test model adaptations and new techniques, tracking performance and iterating based on data insights. Engineering & Product Integration - Collaborate with software developers to integrate language models into production systems and ensure scalable deployment. - Build tooling for model evaluation, monitoring, and continuous improvement pipelines. Extend evaluation and monitoring tooling to support large-scale, automated speech quality measurement for TTS and ASR in offline tests and production. - Support performance optimization, model serving architecture, and infrastructure integration. Cross-Functional Collaboration - Partner with product managers, conversation designers, UX researchers, and stakeholders to connect language capabilities with business objectives. - Serve as the NLP & language subject-matter expert within multidisciplinary teams. Documentation & Knowledge Sharing - Document methodologies, evaluation findings, best practices, and language guidelines to promote shared knowledge and reproducible workflows. - Present results and recommendations clearly to internal and external stakeholders. Qualifications We Value: - Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI, Machine Learning, Linguistics, Cognitive Science, or a related field. - Demonstrated experience applying NLP concepts and techniques (classification, entity extraction, semantic analysis, summarization, prompting, RAG). - Strong programming skills in Python with familiarity in NLP/AI frameworks (e.g., Hugging Face Transformers, TensorFlow, PyTorch). - Experience with data preprocessing, model evaluation, and language dataset design. - Excellent analytical skills and ability to diagnose and communicate model behavior, linguistic patterns, and performance trade-offs. - Strong collaboration and communication skills across technical and non-technical stakeholders. Preferred Skills: - Doctor’s degree in Computer Science, Computational Linguistics, AI, Machine Learning, Linguistics, Cognitive Science, or a related field. - Familiarity with multilingual NLP challenges and cross-locale language modeling. - Background in linguistic analysis, discourse, or semantics. - Experience with speech processing (ASR/TTS), including audio feature pipelines or research in phonetics. Experience with production deployments, ML ops, and scalable systems in cloud environments (AWS, GCP, Azure). Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. OTE Range: $90,000–$160,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai

Role Description We are sharing a specialised part-time consulting opportunity for Polish language experts with strong linguistic, cultural, and written communication skills. This role supports collaborations with leading AI research laboratories working to improve advanced AI systems through language evaluation, annotation, cultural nuance review, and quality assurance for Polish. Selected professionals will help evaluate AI-generated content, identify linguistic and contextual errors, provide structured feedback on fluency and tone, and contribute to improving the overall quality and reliability of multilingual AI systems. Key Responsibilities - Language Evaluation & Annotation - Review, evaluate, and annotate AI-generated text in Polish for fluency, accuracy, and linguistic quality. - Assess grammar, syntax, semantics, style, and tone across a variety of language tasks. - Identify subtle linguistic, contextual, and cultural issues in model outputs. - Linguistic Review & Feedback - Provide expert feedback to improve the quality and consistency of AI-generated content. - Help define language-specific edge cases, ambiguities, and usage patterns. - Support the refinement of linguistic rules and evaluation criteria. - Guideline Development & Documentation - Develop and improve guidelines to ensure consistency across language review workflows. - Contribute to structured documentation that supports scalable linguistic quality assurance. - Help standardise best practices for evaluating Polish-language AI outputs. - Collaboration with AI Research Teams - Collaborate with researchers and engineers to identify language-specific challenges. - Suggest improvements for datasets, linguistic coverage, and model behaviour. - Contribute domain expertise to help strengthen multilingual AI performance. Qualifications - Native-level proficiency in Polish and strong fluency in English. - Strong grasp of grammar, syntax, semantics, and stylistics in Polish. - Ability to identify and correct subtle linguistic, contextual, and cultural nuances. - Bachelor's degree in Linguistics, Translation, Literature, or a related field. - Strong written communication skills and attention to detail. - Ability to provide structured, analytical feedback on language quality. Preferred Qualifications - Advanced degree in Linguistics, Translation, Literature, or a related field. - Prior experience in linguistic annotation, translation, localisation, or content review. - Familiarity with AI, NLP, or language technologies. - Experience developing language guidelines, evaluation rubrics, or documentation. - Comfort working independently in remote, project-based environments. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time commitment of approximately 10 hours per week. - Compensation range of $35–$50 per hour. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or concluded early depending on project needs and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution. - Please note: We are unable to support H1-B or STEM OPT candidates at this time.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description - Create or edit linguistically rich Spanish content, including grammar guides, syntactic analyses, usage explanations, and example sentences for LLM. - Translate and localize English content into natural, contextually appropriate Japanese while maintaining accuracy and tone. - Identify and resolve issues related to ambiguity, bias, or grammaticality in Japanese language data. - Perform quality assurance (QA) on model outputs for fluency, cultural nuance, factual accuracy, and linguistic appropriateness in Spanish. - Annotate Japanese linguistic datasets with syntactic, semantic, or pragmatic labels. - Conduct linguistic research on Spanish language usage and summarize findings to support internal teams. - Apply linguistic expertise to evaluate model behavior, identify error patterns, and improve Japanese language performance across NLP systems. Qualifications - Deep understanding of Spanish linguistic theory, grammar, and language structure. - Native or near-native fluency in Japanese and strong command of English. - Experience with computational linguistics, corpus analysis, or language data annotation (especially for Japanese) is a plus. - Familiarity with LLM training and evaluation workflows preferred. - Exceptional writing, editing, and communication skills in both Spanish and English.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the Role We’re seeking an interdisciplinary expert who can bridge linguistics, data, and AI to help us build better conversational AI products. You'll analyze complex human interactions from contact centers, design data collection frameworks, and translate linguistic insights into actionable improvements for AI products. This is a hands-on role for someone who thrives in ambiguity, has a deep understanding of human communication, and enjoys applying rigorous methods to real-world AI challenges. Key Responsibilities - Analyze conversational and behavioral data to uncover patterns that inform AI product development and iterations. - Design and implement data collection methodologies and annotation frameworks. - Translate linguistic insights into practical AI improvements. - Collaborate with engineers, product managers, and non-specialists across teams to communicate your findings and frameworks. What You Bring - Advanced degree (Ph.D. preferred; Master’s with equivalent experience will be considered) in linguistics with a strong interdisciplinary focus—e.g., computational linguistics, psycholinguistics, and/or cognitive linguistics. - Specialization in discourse analysis. - Proficiency in Natural Language Processing (NLP). - Demonstrated expertise in applying linguistic theory to real-world problems. - Experience in independently owning and delivering complex projects. - Coding skills in Python for prototyping, prompt engineering and data analysis. - Communication skills, especially in conveying complex domain knowledge to cross-functional and out-of-domain audiences. - Comfortable operating in fast evolving environments. Bonus Skills - Proficiency in one or more non-English languages that are NOT Spanish, Portuguese, Mandarin, Cantonese, or Korean. - Proficiency in probability theory, data structures and algorithms, machine learning and large language models (LLMs). - Experience with linguistic fieldwork or experimental data collection involving unfamiliar languages or low-resource scenarios. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $ + Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai