This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Are you a German language expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of linguistic discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline communication for German speakers everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for German language specialists who live and breathe: - German grammar - Syntax - Morphology - Phonology - Semantics - Pragmatics You’ll challenge advanced language models on topics like: - Verb conjugation - Case system (nominative, accusative, dative, genitive) - Word order - Declensions - Gender - Stylistic variation On a typical day, you will: - Converse with the model on language scenarios - Verify factual accuracy and logical soundness - Capture reproducible error traces - Suggest improvements to our prompt engineering and evaluation metrics Qualifications - A master’s or PhD in German language, linguistics, or a closely related field - Peer‑reviewed publications - Teaching experience - Hands-on linguistic analysis projects - Clear, metacognitive communication—“showing your work” Requirements - Must have an eligible Android device in-hand and will be required to verify your device before engaging on the project Benefits - Pay range of $6 to $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location - As a contractor, you’ll supply a secure computer and high‑speed internet - Company‑sponsored benefits such as health insurance and PTO do not apply Company Description - Employment type: Freelance / Contract - Workplace type: Remote - Seniority level: Mid‑Senior Level

About Private Health Management Private Health Management (PHM) supports people with serious and complex medical conditions, helping them obtain the best possible medical care. We guide individuals and families to top specialists, advanced diagnostics, and personalized care. Trusted by healthcare providers and businesses, PHM offers independent, science-backed insights to help clients make informed decisions and access the best care. About the role For more than a decade, PHM has helped clients navigate the fragmented healthcare system to achieve the best care and outcomes when it matters most. As a Research Director, you will join a team of compassionate clinicians and research scientists dedicated solely to the best interests of the patient and establishing a new standard of excellence in precision medicine. In this role, you will lead research efforts for clients facing complex and often rare medical conditions. You will analyze detailed clinical histories, evaluate diagnostic and treatment options (including investigational and global therapies), identify relevant clinical trials, and synthesize findings into clear, patient-centered guidance. This is a high-impact role that blends scientific rigor, clinical reasoning, and client-centered communication. What You’ll Accomplish - Lead end-to-end research strategy for complex and rare disease cases, delivering clear, prioritized, evidence-based treatment pathways - Identify diagnostic gaps and recommend advanced testing strategies that refine diagnoses and inform care decisions - Evaluate standard-of-care and investigational therapies globally, including clinical trial opportunities - Translate complex medical literature into actionable, patient-friendly reports and education materials - Serve as a trusted scientific thought partner to clinicians, clients, and external experts How You’ll Spend Your Days - Clinical History Analysis: Analyze patient medical records, extract and track lab values, symptoms, medication histories, and clinical outcomes. - Medical Literature Review: Conduct deep literature searches (PubMed, Google Scholar, specialty databases), synthesize findings, compare clinical studies, and present insights in clear, accessible language. - Diagnostics Guidance: Evaluate clinical and molecular data to identify diagnostic gaps and recommend evidence-based testing strategies. - Treatment Research & Expert Engagement: Assess guidelines, emerging therapies, and investigational approaches. Identify and engage key opinion leaders and field experts to support case strategy. - Clinical Trial Identification: Search clinical trial databases, evaluate eligibility criteria, build tracking tools, and communicate with trial sites to assess opportunities. - Content Creation: Develop high-quality written reports, presentations, spreadsheets, charts, and educational materials that guide client decision-making. What you bring to the table - Education & Experience: 3+ years of professional experience in rare genetic diseases, metabolic/acidemia disorders, and/or mitochondrial dysfunction & PhD in a related field required. - Advanced Research Expertise: Deep familiarity with medical literature review best practices and research databases (e.g., PubMed, Google Scholar). - Clinical & Scientific Judgment: Ability to evaluate complex and sometimes conflicting data to generate structured, defensible recommendations. - Client Readiness: Exceptional written and verbal communication skills; able to translate highly technical content into compassionate, patient-friendly guidance. - Adaptable Doer: Resourceful, organized, and comfortable making thoughtful decisions in ambiguous or time-sensitive situations. - Collaborative Team Member: Able to work independently while partnering effectively with clinicians, researchers, and external experts. Bonus Points: - Clinical research experience in methylmalonic acidemia (MMA) and/or related metabolic disorders - Experience with adult inborn errors of metabolism (IEM) - Expertise in mitochondrial metabolism and/or mitochondrial diseases - Background in medical genetics or biochemical genetics Compensation The target base salary for this position is $130,000 – $140,000. This base salary is only a part of a total compensation package that also includes: health/dental/vision benefits, annual cash incentive program, 401k with match, flexible PTO, PHM for PHM (our services for you and your dependents), and other benefits. Individual pay may vary from the target range as a number of factors including market forces, experience, location, disparities in market data, and other relevant business considerations. Location This is a remote role requiring that you live in and physically perform all work in the United States. Next steps Private Health Management is a remote company with employees around the United States. We’re committed to providing a thoughtful, transparent interview experience and meaningful opportunities to get to know our company, mission, and teammates through fully remote interviews. If your application is selected, a member of our recruiting team will schedule next steps. Interviews typically include the hiring manager, peers, and an executive leader. PHM uses AI-enabled tools at certain points in the recruiting process to help identify and evaluate top talent; however, all hiring decisions are made by human reviewers. Have a quick question about the role? Email careers@privatehealth.com or simply apply here. Anticipated Pay Range $125,000—$140,000 USD

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Engineer, AI is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful candidate will work closely with data scientists and product leads to implement AI models, build required data and code pipelines through rigorous engineering disciplines. - Coordinate between Data Scientists and Product Analysts - Automate infrastructure used by the Data Science team - Design, develop, and deploy advanced AI models and algorithms to solve complex business problems - Test and deploy models - Develop minimum viable products based on machine learning - Automate processes by utilizing machine learning - Lead AI projects from conception to implementation, ensuring timely delivery and high-quality outcomes - Ability to create AI models utilizing deep learning, neural networks, and ML algorithms to derive business insights and fuel informed decision-making - Mentor and coach junior associates on the team - Communicate findings and recommendations to stakeholders through clear and compelling data visualizations and presentations Qualifications - 5 to 7 Years of work experience - Bachelors Degree or Equivalent Experience Requirements - 5+ years of practical experience as an engineer with focus on implementation of AI / ML machine learning solutions - Masters in Computer Science / Machine Learning / AI, or related work experience with the design, building and evaluation of Machine Learning systems - 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents - Advanced knowledge of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools - Advanced understanding of cloud platforms e.g. Azure / GCP / AWS and their AI tool set - Practical experience working with data and code pipelines - Ability to work independently with limited supervision - Ability to implement, test and deploy Machine Learning models - Advanced experience with langchain / llamaindex / haystack / Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enable tech stack is a plus - Skilled in accessing and handling databases via SQL, Azure Data Factory or similar - Familiarity with data storage/management systems or Big Data framework (like Hadoop, Spark) expected to be known or used - Advanced knowledge in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews - Excellent communication skills, both written and verbal - Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs - Professional development investment, including earning a professional certification relevant to their field and tuition reimbursement - Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Be Doing - Evaluation: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. - Annotation Labeling: Labeling elements of a piece of content rather than the content as a whole. - Classification: Assigning predefined categories or labels to items. - Content Quality: Evaluating the perceived quality and/or appropriateness of content. - Content Understanding: Generating labels to advance understanding of a concept, trend, etc. - Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data. - Grading: Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. - Identification Labeling: Labeling model outputs to identify if a piece of content is or isn't something. - Preference Ranking: Ordering or ranking items based on a set of preferences or criteria. - Prompt Generation: Creating prompts or questions that will be used to generate responses from a language model or other AI system. - Relevance Evaluation: Projects that evaluate the relevance of content based on a relevancy scale. - Response Generation: Generating responses to prompts or questions using a language model or other AI system. - Response Rewrite: Rewriting existing text while preserving the original meaning. - Response Summarization: Producing concise summaries of longer pieces of text or data. - Similarity Evaluation: Projects where content is compared in order to drive a determination. - Transcription: Converting spoken language or audio content into written text. - Translation: Converting text or spoken language from one language to another. - Data Collection: Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. Qualifications - A Bachelor’s degree or higher in a humanities specialization is required. - Advanced degrees are strongly preferred (Master’s or PhD). - Professional or Expert level proficiency (C1/C2) in English and Russian. Requirements - Applicants must be legally authorized to work in the United States at the time of hire. - Innodata is unable to provide visa sponsorship now or in the future for this position. Benefits - Salary rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.