Вакансии

Задачи: — Развернуть white-label решение трекера CPV One на сервере. — Разместить и настроить лендинги. — Подключить PHP-клоакинг к системе трекинга. — Настроить необходимые интеграции и проверить корректность работы. — При необходимости взаимодействовать с техподдержкой CPV One. Требования: — Желателен опыт работы с CPV One, Keitaro, Binom или аналогичными трекерами. — Понимание PHP и серверных настроек. Условия: — Разовая проектная задача. — Удаленная работа. — Оплата по договоренности.

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: Data Labeling Analyst (Speech & Voice AI)  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) Hourly 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 Spanish (Mexico) 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 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.

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: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, 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) Hourly 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, Bellevue, Redmond, Seattle, 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 Spanish (Spain) 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 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.

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: Data Labeling Analyst (Speech & Voice AI)  Hiring in: Onsite (Bay Area, 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) Hourly 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,  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 English (UK) 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.

Кого мы ищем Ищем Business Development Manager - человека, который поможет построить продажи с нуля: определить, кому и зачем нужен наш продукт, самостоятельно находить первых клиентов, выходить на собственников и C-level, вести сложные enterprise-сделки и превращать первые продажи в системный рынок. Обязательно: - самостоятельное привлечение B2B-клиентов;

Задачи: — Разработка корпоративных цифровых платформ — Разработка IT-инфраструктуры Требования: — Backend: Node.js, NestJS, Typescript — Frontend: Next.js, React — Инфраструктура: Kubernetes, Docker — Хранение данных: PostgreSQL, Redis, MinIO — Очереди и фоновые задачи: BullMQ — Real-time коммуникация: WebSocket — Опыт в multi-tenant SaaS: изоляция данных клиентов, конфигурация под клиента, white-label — Предметная область: закупки, тендеры, ЭДО, финтех, биржевые или банковские системы — ЭЦП и криптография в контексте РК: NCALayer, сертификаты НУЦ РК — Интеграции с 1С — Опыт работы с высоконагруженными системами — Самостоятельность: умение двигаться при неполных требованиях, а не ждать полной постановки — Готовность задавать вопросы аналитику и продакту и оспаривать требование, если оно противоречит логике продукта — Ответственность за результат в проде, а не за закрытую задачу в Jira — Умение работать в условиях параллельных приоритетов Условия: — Оформление по ТК РК — График: пятидневка, 9:00–18:00, гибкое начало дня — Формат: гибрид — 2 дня в офисе — Офис расположен на территории МФЦА — Итоговая заработная плата обсуждается по результатам технического интервью

Location: Philippines; India Workplace: remote About the Role:   Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-speech AI models  Location: India/ Philippines (Remote)  Engagement Type: Freelance (Pilot)  Rate: USD 4.55/hour  Estimated Hours: 30 hours/week Key Responsibilities Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription) Verify segment boundaries align with actual speech onset and offset Review start/end timestamps when boundaries are inaccurate Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.) Maintain consistency and accuracy across a detailed, evolving style guide Requirements English fluency, including strong command of spoken/colloquial forms (contractions, filler words, informal speech) Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred Comfortable using annotation/labeling tools Ability to reference and apply a detailed style guide consistently Ability to work independently and adapt to periodic guideline updates #L1-CC1

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (ESUS/US based) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language Candidates must be native Spanish speakers who were born and raised in the U.S., or have been residing in the U.S. for at least 10 years and be able to demonstrate familiarity with the differences between the Spanish used in their country of origin and in the U.S. Location A candidate must be based in the U.S. Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

Location: Remote, Worldwide; Remote - Europe Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced Spanish (Spain) to English (GB or US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate Pharmacovigilance and/or Clinical-regulatory content from Spanish into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating medical documentation, specificially with experience and knowledge in Pharmacovigilance and/or Clinical-Regulatory content. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong Spanish proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding.   Job Reference: #LI-JC1

What you will do Build new strategic partnerships with travel companies, agency networks, airlines, OTAs, travel platforms, loyalty programs, fintech companies, travel-tech players, and other distribution channels. Build a specific partnership hypothesis for each account rather than sending a generic company presentation.

• Разрабатывать фичи в API Mini App, ботах, картах, кошельке, комиссиях и B2B API. • Подключать интеграции с внешними провайдерами (таймауты, повторы, идемпотентность платежей).

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (Mexico) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language A candidate must be native in ESMX (Mexican Spanish) Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global   We look forward to receiving your application!   Job Reference: #LI-JC1

▫️End-to-End продажи: Поиск и привлечение B2B-клиентов (iGaming, Crypto, Forex, High-Risk мерчанты). ▫️Продажа сложных продуктов: Презентация и закрытие сделок по White Label платформам и API-эквайрингу (крипта + фиат).

- выстраивать партнерские отношения и повышать лояльность; - помогать партнерам с расчетами и медиапланами;

Location: United States Kit Assembly Specialist Department: Operations / Fulfillment Reports to: Fulfillment Supervisor or Warehouse Manager Employment type: Full-time, hourly (non-exempt) About the role We're looking for a detail-oriented Kit Assembly Specialist to build product kits, bundles, and subscription boxes accurately and efficiently. You'll follow bills of materials and work instructions to pick, assemble, package, and label kits that ship directly to our customers or to retail partners. Accuracy and consistency are the heart of this job, since every kit you build is a customer's first impression of our brand. Key responsibilities Assemble kits, bundles, and gift sets according to bills of materials (BOMs), work orders, and visual standards, making sure every component is present and correctly placed. Pick components from inventory locations and verify SKUs, quantities, lot numbers, and expiration dates before assembly. Perform quality checks on finished kits, flagging damaged, missing, or incorrect items and resolving discrepancies with your supervisor. Package, seal, and label completed kits using barcode scanners, label printers, and shrink-wrap or heat-seal equipment as needed. Record completed units and component usage in the warehouse management or inventory system so stock levels stay accurate. Keep the assembly station clean, organized, and stocked, and replenish components before they run out. Meet daily production targets while maintaining accuracy standards. Help with cycle counts, receiving, and other fulfillment tasks during slower periods. Follow all safety procedures, including proper lifting technique and equipment use. Suggest improvements to kitting layouts, workflows, or instructions that could save time or reduce errors. Qualifications High school diploma or GED preferred. 1+ year of experience in kitting, assembly, warehouse, fulfillment, or manufacturing (or comparable hands-on work). Strong attention to detail and the ability to follow written and visual instructions precisely. Basic computer skills; experience with handheld scanners or a WMS is a plus. Ability to work at a steady pace on repetitive tasks while staying accurate. Good communication skills and a team-player attitude. Reliable attendance and punctuality. Physical requirements Stand or walk for extended periods (up to 8–10 hours per shift). Lift and carry up to 50 lbs regularly. Bend, reach, and perform repetitive hand movements throughout the shift. Work in a warehouse environment that may vary in temperature and noise level.

Требуется Представитель компании на Кипре. Мы ищем человека с хорошим пониманием рынка и сильным нетворком в high-risk, fintech, payments или crypto, который сможет открывать нужные контакты и помогать нам выстраивать отношения с потенциальными клиентами и партнерами.

What brands buy is simple: a number of views, at one CPM, guaranteed. You'll take the machine and find every way it can be sold.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth