Вакансии

Location: United Kingdom Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business.   KEY RESPONSIBILITIES: - Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. - Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. - Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and document interactions in Salesforce, ensuring a clean and actionable pipeline for the sales team. - Collaborate with marketing to refine messaging and campaigns based on prospect feedback, contributing to a 15%+ improvement in campaign response rates. - Stay updated on industry trends, competitor offerings, and Cohere’s product roadmap to position our solutions effectively and anticipate customer needs. - Run independent sales cycles on smaller opportunities with less overhead, from intro to close. QUALIFICATIONS: - 2+ years of experience in business development, sales, or a related role, with a proven track record of exceeding lead generation targets in a SaaS or tech environment. - Native or Fluent French speaker - Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and build rapport quickly over phone and email. - Familiarity with CRM tools (e.g., Salesforce, HubSpot) and sales enablement platforms, with the ability to analyse data to optimize outreach strategies. - Experience in AI, machine learning, or enterprise software sales, with a basic understanding of natural language processing (NLP) concepts. - Closing experience is seen as an advantage. - A builder mindset is necessary to succeed here, the challenges will be unique based on the team you’ll be working with, and the role will evolve over time. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations. The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions. This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases. A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance. Responsibilities: Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights. Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools. Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience. Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed. Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas. Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption. Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives. Education / Experience (Requirements): Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Strong experience with Python, SQL, data analysis, automation, and dashboard/report development. Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms. Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools. Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies. Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations. Ability to manage multiple priorities and work independently in a fast-paced environment. Preferred Qualifications: Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data. Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization. Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD. Experience with forecasting, optimization, workforce planning, or process improvement. Technical Skills Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker. #LI-TF1 Recruiting Range $90,000 — $100,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Задачи: — Разработка ИИ-решений для образовательных систем — Разработка автоматизированных пайплайнов для проверки и оценки ответов — Проведение экспериментов с большими языковыми моделями (LLM), промптами и методами дообучения — Подготовка, обработка и анализ данных Требования: — Опыт работы в Data Science, Machine Learning или NLP от 2 лет — Хорошее знание основ машинного и глубокого обучения — Уверенное владение Python — Продвинутый уровень SQL — Опыт работы с библиотеками для анализа данных и машинного обучения: NumPy, pandas, scikit-learn Условия: — Работа в офисе в Астане

Location: Dubai Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business. KEY RESPONSIBILITIES: - Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. - Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. - Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and document interactions in Salesforce, ensuring a clean and actionable pipeline for the sales team. - Collaborate with marketing to refine messaging and campaigns based on prospect feedback, contributing to a 15%+ improvement in campaign response rates. - Stay updated on industry trends, competitor offerings, and Cohere’s product roadmap to position our solutions effectively and anticipate customer needs. - Run independent sales cycles on smaller opportunities with less overhead, from intro to close. QUALIFICATIONS: - 2+ years of experience in business development, sales, or a related role, with a proven track record of exceeding lead generation targets in a SaaS or tech environment. - Native or Fluent Arabic speaker - Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and build rapport quickly over phone and email. - Familiarity with CRM tools (e.g., Salesforce, HubSpot) and sales enablement platforms, with the ability to analyse data to optimize outreach strategies. - Experience in AI, machine learning, or enterprise software sales, with a basic understanding of natural language processing (NLP) concepts. - Closing experience is seen as an advantage. - A builder mindset is necessary to succeed here, the challenges will be unique based on the team you’ll be working with, and the role will evolve over time. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Slovenia; Remote - Europe; Austria; Hungary; Berlin, Germany Workplace: remote As a trusted global transformation partner, Welo Global accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welo Global delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welo Global delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   Welo Global | Enterprise Localization, AI & Multilingual Solutions Platform   OVERVIEW   At Park IP, Welo Global’s Legal Service Line, we are currently seeking experienced patent translators to support our growing portfolio of patent translation projects.  We are looking for linguists with proven experience translating patents from English US (en-US) into Slovenian (sl-SI). The ideal candidate will have strong experience in translating and proofreading patents, specifically in the field of Biology.   Project Details   Job Title: English US into Slovene Patent Translator/LQA Reviewer Location: Remote   Content Type: Biology    Expected Weighted Volume Per Week: 2,000 to 5,000  CAT Tool: JIRA, XTM   Employment Type: Freelance Main Duties Translate patent-related content from English US (en-US) into Slovenian, with original meaning conveyed in a manner that is readable and understandable to target audience. The Style adequacy is a key aspect for our client; Follow instructions, for example Translation process, CAT tool usage, etc. Communicate effectively and response promptly in English. Requirements Minimum two years' experience translating and reviewing content in the patent field of Biology; Native fluency in target language; Degree in linguistics, translation or equivalent experience. When you join Welo Global, you have the opportunity to bring your career to the next level:   Receive steady volume of work and long-term partnership {where this applies}    Professional development: work on exciting projects that will empower you keep learning and growing   Work with a multicultural, international team with a great variety of documents and content types     24-hour 6-day a week support from our Community team.   If this opportunity sounds appealing to you, please apply below.

Задачи: - Разрабатывать сервисы под NLP и LLM - Разрабатывать AI-тренажеры, работа с RAG, интеграция с голосовым движком (ASR/TTS) - Проводить PoC по новым инициативам - Проводить code review Требования: - Уверенные знания Python - Стек: FastAPI, asyncio, PostgreSQL, Redis, Docker/Kubernetes - Опыт работы с RAG, векторными БД (Milvus, Chroma) - Умение писать тесты (pytest) и проектировать отказоустойчивые API - Опыт разработки телеграм и макс ботов (библиотеки maxapi, aiogram) - Опыт работы с ASR/TTS - Знание инфраструктуры ML (Triton Inference Server, локальные LLM) - Опыт проектирования или работы с AI платформами - Опыт работы в кросс-функциональных командах с DS и DevOps

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Задачи: - Разрабатывать бэкенд LLM-агента для автоматизации поддержки - Учиться строить LLM-продукты и участвовать в формировании платформы для их развития - Следить за надежностью и качеством решений — агент будет работать под нагрузкой и решать проблемы миллионов пользователей - Решать задачи на стыке с Data Science, собирать легкие прототипы новых фич для проверки на пользователях - Следить за надежностью и качеством решений — внутренние инструменты работают с теми же гарантиями, что и внешние: мониторинг, алертинг, SLA Требования: - Опыт разработки на Python с использованием FastAPI, Pydantic, LangChain, LangGraph, LangFuse, punq - Опыт разработки распределенных систем: Kafka, PostgreSQL, Redis, Elastic - Опыт разработки сложных распределенных систем - Способность быстро выполнять задачи без критических ошибок - Приветствуется опыт работы с ML-продуктами и интерес к ML, NLP, LLM

Location: Limassol; Nicosia; Athens Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Brazil) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Job reference: #L1-CC1 Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Требования: — Senior+ уровень: 4+ года практического опыта работы над проектами в области AI/ML или разговорного AI, предпочтительно в финтехе, телекоммуникациях или ритейле — Подтвержденный опыт в prompt engineering: написание и итерация промптов для LLM для реальных продуктовых кейсов — Опыт проектирования сквозных разговорных сценариев для чат-ботов или AI-агентов, включая распознавание намерений, диалоговые деревья, обработку fallback, копирайтинг для потребителей — Опыт тестирования промптов / QA и работы с инструментами AI Observability (например, LangSmith) — Опыт итерации промптов и проведения оценок (prompt engineering + тест-кейсы + human-in-the-loop) Желательно: — Опыт в UX-дизайне или UX-исследованиях — Опыт с AI Voice — Опыт в бизнес-анализе процессов: способность переводить сложные рабочие процессы в четкие, структурированные диалоговые сценарии Задачи: — Анализировать работу бизнес-процессов на стороне клиента: изучать внутренние инструкции для сотрудников, а также реальные записи и транскрипты разговоров — На основе анализа проектировать скрипты и промпты для AI-агентов с целью автоматизации процессов — Создавать обучающие и тестовые наборы данных — Разрабатывать и применять методологии оценки качества работы AI-агентов и использовать их для улучшения агентов Условия: — Команда создала отмеченные наградами AI-продукты для технологических корпораций: устройства, голосовые ассистенты, продукты, реально используемые в мире — Современный стек технологий: речевые технологии, NLP, генеративный AI (LLMs, диффузионные модели), голосовая агентская архитектура с приоритетом конфиденциальности и локальным развертыванием — Высокий инженерный уровень и реальная ответственность за продукт, работающий в продакшене — Быстрый карьерный рост благодаря старшей команде и большому количеству реальных задач — Стартап-ритм с корпоративной стабильностью: реальные клиенты, реальный доход, отсутствие бюрократии — Полностью удаленная работа по всей Европе — 21 день отпуска + государственные праздники + 5 больничных дней — Частные уроки английского через Preply

Задачи: — Архитектура и внедрение production-ready AI / LLM / Computer Vision систем — Декомпозиция сложных технических задач — Оптимизация стоимости и латенси production рабочих нагрузок — Сотрудничество с техническими и бизнес-командами клиентов — Разработка и обучение моделей машинного обучения — Подготовка данных и проведение аналитики — Деплой и мониторинг моделей Требования: Обязательные: — 2+ года опыта в Machine Learning / AI (Data Scientist, ML Engineer, NLP, CV, Audio Engineer) — 2+ года разработки production AI / LLM систем — Свободное владение Python, TensorFlow, PyTorch, vLLM, LangGraph, LangChain (или эквивалентные) — MLOps: оптимизация стоимости и латенси — Знакомство с agentic tooling (Claude Code, Cursor) — Опыт с LLM, NLP или Computer Vision Желательные: — Опыт с GCP (Google Cloud Platform) — Опыт в content generation — Знание оптимизации локального inference — Опыт работы с LLM и генерацией контента Приветствуется портфолио с примерами production AI систем, которые вы разрабатывали.

Location: Palo Alto; New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.   What You Will Do   • You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.  • You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.  • You’ll individually help deploy into production use cases with a considerable business impact across various industries.  • You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.  • Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback     What We're Looking For   • You are fluent in English • You hold a PhD / master in AI / data science. • You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products • You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have experience with deep learning with Pytorch • You have experience with agents framework such as Langchain, vector DBs • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have:   • Contributed to open-source projects in particular in the space of LLMs • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager     WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Задачи: — Проектирование AI- и классических решений: разработка агентов, tools, skills, subagents, SDK к OpenCode; — Применение нейросетей для оптимизации собственной работы (генерация спецификаций, промпт-инжиниринг, прототипирование диаграмм PlantUML, написание MCP, агентов, скилов); — Ведение технической документации в рамках концепции Doc-as-code; — Согласование технических решений и плотная коммуникация с командами разработки и сопровождения. Требования: — Общий опыт работы в аналитике от 3 лет; — Подтвержденный опыт работы в проектах по разработке и внедрению AI-фич и AI-агентов (включая агентов в формате .md); — Понимание принципов работы LLM и современных агентных архитектур (ReAct, LangChain, AutoGen и др.); — Понимание NLP, архитектуры RAG (retrieval-augmented generation) и уверенные навыки prompt engineering; — Практический опыт работы с harness-агентами; — Уверенное владение технологическим стеком: REST API, WebSocket, OpenAPI/AsyncAPI, брокеры сообщений (Kafka), реляционные БД (PostgreSQL); — Опыт работы с инструментами моделирования и документации; — Развитые софт-скиллы: инициативность, коммуникабельность, умение аргументированно доносить точку зрения, нетоксичность. Условия: — Работа в финтех-проекте компании Bellintegrator; — Платформа автоматизации жизненного цикла инвестиционных сделок для юридических лиц; — Удаленная работа с таймзоной Мск ±2 часа; — Полная занятость с оформлением по ТК РФ; — Вилка зарплаты 220 000 – 250 000 руб. на руки, определяется по грейду. Важное требование к резюме: — Резюме должно содержать детально подтвержденный опыт; — По каждому проекту необходимо четко описать: описание проекта, роль, конкретные задачи и зону ответственности, используемые технологии и инструменты.

Location: Remote Workplace: Remote Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle. Your Role You are an experienced analytics engineer who knows your way around clinical and electronic health record data. Your primary responsibility is to build, maintain, and optimize the transformation layer of our ELT pipeline, turning raw, messy clinical data into clean, well-modeled, analysis-ready datasets that our clients and internal teams can trust. You will own the full lifecycle of our data models: designing and implementing transformation logic, enforcing data quality and testing standards, optimizing pipeline performance, and documenting data models so they're discoverable and understandable across the organization. You will use your data expertise, programming abilities, and critical thinking skills to support our technical product team in scaling and growing our ability to provide meaningful data. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health. You will report to the Data Science Manager, under the Chief Data Officer. In this role, you will be responsible for: - Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys - Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. - Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. - Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; - Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. - Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. - Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. - Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions. You are not afraid to dig into massive, confusing, disorganized new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions and everyone pitches in across the team. Qualifications Required - Bachelor’s degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics) - 3+ years of experience in analytics or data engineering roles where you are responsible for hands-on cleaning and structuring clinical and electronic health record data - Strong dbt and SQL proficiency: writing reusable Jinja macros, implementing custom tests, and comfortable with multi-environment deployments (dev/staging/prod) - 1+ years of experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) - Comfort working in a cloud environment (ideally Snowflake and/or AWS). - Proficiency with Git and version control workflows - Is an advocate for bringing software engineering best practices (modularity, unit testing, concise and well-documented code) to a data science team. - Comfortable with ambiguity and creative problem-solving in a fast-paced, rapidly growing startup environment. - Excellent communication skills to advocate for the value of robust analytics engineering solutions and translate customer needs into data solutions. - Passion for improving healthcare and building infrastructure that makes research and clinical AI safer, faster, and more reliable. Nice to Have - Practical experience integrating LLM tools (e.g., Snowflake Cortex, Amazon Bedrock, Azure OpenAI Service) and frameworks (RAG, agent workflows) into data pipelines and product - Proficiency in Python for data cleaning and model feature engineering. - Experience working with AI/ML modeling teams and a conceptual grasp of cloud model deployments and evaluation. - Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts - Any medical ontology experience - Any experience working with DICOM or other imaging modalities - Experience with OMOP common data model - Comfortable with agile tools such as Jira, Linear. - Familiarity using dbt cloud Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits - Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum - Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details - Professional development days to build your skills - Collegial work environment - Academic bent towards inquiry and problem solving but start-up speed and flexibility - Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively - Dandelion is a mission-driven company that is focused on improving patient care

Location: Slovakia Workplace: remote As a trusted global transformation partner, Welo Global accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welo Global delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welo Global delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   Welo Global | Enterprise Localization, AI & Multilingual Solutions Platform   OVERVIEW   At Park IP, Welo Global’s Legal Service Line, we are currently seeking experienced patent translators to support our growing portfolio of patent translation projects.  We are looking for linguists with proven experience translating patents from English US (en-US) into Romanian (ro-RO):  The ideal candidate will have strong experience in translating and proofreading patents, specifically in the field of Biology.   Project Details   Job Title: English US into Romanian (ro-RO) Patent Translator  Location: Remote   Content Type: Biology    Expected Weighted Volume Per Week: 2,000 to 5,000  CAT Tool: JIRA, XTM   Employment Type: Freelance Main Duties Translate patent-related content from English US (en-US) into Slovak (sk-SK), with original meaning conveyed in a manner that is readable and understandable to target audience. The Style adequacy is a key aspect for our client; Follow instructions, for example Translation process, CAT tool usage, etc. Communicate effectively and response promptly in English. Requirements Minimum two years' experience translating and reviewing content in the patent field of Biology; Native fluency in target language; Degree in linguistics, translation or equivalent experience. When you join Welo Global, you have the opportunity to bring your career to the next level:   Receive steady volume of work and long-term partnership {where this applies}    Professional development: work on exciting projects that will empower you keep learning and growing   Work with a multicultural, international team with a great variety of documents and content types     24-hour 6-day a week support from our Community team.   If this opportunity sounds appealing to you, please apply below.

Location: Slovenia Workplace: remote As a trusted global transformation partner, Welo Global accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welo Global delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welo Global delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   Welo Global | Enterprise Localization, AI & Multilingual Solutions Platform   OVERVIEW   At Park IP, Welo Global’s Legal Service Line, we are currently seeking experienced patent translators to support our growing portfolio of patent translation projects.  We are looking for linguists with proven experience translating patents from English US (en-US) into Slovenian (sl-SI):  The ideal candidate will have strong experience in translating and proofreading patents, specifically in the field of Biology.   Project Details   Job Title: English US into Slovenian (sl-SI) Patent Translator  Location: Remote   Content Type: Biology    Expected Weighted Volume Per Week: 2,000 to 5,000  CAT Tool: JIRA, XTM   Employment Type: Freelance Main Duties Translate patent-related content from English US (en-US) into Slovenian (sl-SI) , with original meaning conveyed in a manner that is readable and understandable to target audience. The Style adequacy is a key aspect for our client; Follow instructions, for example Translation process, CAT tool usage, etc. Communicate effectively and response promptly in English. Requirements Minimum two years' experience translating and reviewing content in the patent field of Biology; Native fluency in target language; Degree in linguistics, translation or equivalent experience. When you join Welo Global, you have the opportunity to bring your career to the next level:   Receive steady volume of work and long-term partnership {where this applies}    Professional development: work on exciting projects that will empower you keep learning and growing   Work with a multicultural, international team with a great variety of documents and content types     24-hour 6-day a week support from our Community team.   If this opportunity sounds appealing to you, please apply below.

Location: Serbia Workplace: remote As a trusted global transformation partner, Welo Global accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welo Global delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welo Global delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.   Welo Global | Enterprise Localization, AI & Multilingual Solutions Platform   OVERVIEW   At Park IP, Welo Global’s Legal Service Line, we are currently seeking experienced patent translators to support our growing portfolio of patent translation projects.  We are looking for linguists with proven experience translating patents from English US (en-US) into Serbian Cyrillic (sr-Cyrl-RS). The ideal candidate will have strong experience in translating and proofreading patents, specifically in the field of Biology.   Project Details   Job Title: English US into Serbian Cyrillic (sr-Cyrl-RS) Patent Translator  Location: Remote   Content Type: Biology    Expected Weighted Volume Per Week: 2,000 to 5,000  CAT Tool: JIRA, XTM   Employment Type: Freelance Main Duties Translate patent-related content from English US (en-US) into Serbian Cyrillic (sr-Cyrl-RS) , with original meaning conveyed in a manner that is readable and understandable to target audience. The Style adequacy is a key aspect for our client; Follow instructions, for example Translation process, CAT tool usage, etc. Communicate effectively and response promptly in English. Requirements Minimum two years' experience translating and reviewing content in the patent field of Biology; Native fluency in target language; Degree in linguistics, translation or equivalent experience. When you join Welo Global, you have the opportunity to bring your career to the next level:   Receive steady volume of work and long-term partnership {where this applies}    Professional development: work on exciting projects that will empower you keep learning and growing   Work with a multicultural, international team with a great variety of documents and content types     24-hour 6-day a week support from our Community team.   If this opportunity sounds appealing to you, please apply below.