Location: United States (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
ABOUT THE ROLE
We are adding an Senior FP&A Analyst to the Strategic Finance team to expand our FP&A capacity and give us deeper coverage across the business. You will be responsible for corporate FP&A functions, including 3 financial statement forecasting and consolidations, business partnering, and GTM optimizations. You will also help us stress-test the assumptions behind our plans and key metrics.
WHAT YOU WILL DO
- Corporate FP&A: Own the three-statement financial consolidation (P&L, balance sheet, cash flow), including forecasting, budgeting, and variance analysis. Sync the long-range plan with the detailed financial operating plan and monthly actuals load.
- Monthly close: Participate in and review the monthly close, working with Accounting to make sure the numbers tie out and the story behind them is clear.
- Business partnering: Serve as the finance partner to functional areas supporting budget owners with planning, headcount, spend tracking, and decision support to optimize the core metrics they influence.
- Board and investor reporting: Build and maintain board decks, investor updates, and other leadership deliverables.
- Equity plan forecasting: Forecast equity plan usage and dilution, and support related analysis.
- Corporate valuation support: Support valuation work, including model inputs and analysis.
- Team coverage: Provide backup and redundancy across the team's workstreams so that no process depends on a single person.
- Tools and process improvement: Help implement and optimize FP&A and AI tools, and look for ways to automate and improve how the team works.
- Executive partnership: Work directly with senior leadership and budget owners as a trusted, independent finance voice.
WHAT YOU WILL BRING
- 8+ years of progressive finance experience, most recently with 5+ years in FP&A and 2+ years owning P&L forecasting and executive reporting at a growth-stage SaaS start-up.
- 3-statement financial planning, including integrated P&L, balance sheet, and cash flow forecasting.
- Deep understanding of the SaaS GTM motion, including how pipeline, bookings, and IARR/ARR connect.
- Pricing and margin analysis, such as modeling how pricing and packaging changes affect bookings, gross margin, and unit economics.
- Lead-to-cash process, including how billing, collections, and revenue recognition flow into ARR, deferred revenue, and cash forecasts.
- CFA charterholder, investment banking, venture capital, private equity, or Big 4 audit experience is a plus but not required.
TECHNICAL SKILLS
- Deep working knowledge of standard SaaS metrics (CAC payback, burn multiple, magic number, Rule of 40, net and gross retention), including how to calculate them, what drives them, and how plan assumptions move them.
- Advanced financial modeling skills, ideally in Google Sheets as well as Excel. You design driver-based models from scratch, with assumptions you can trace and defend, rather than only updating existing ones.
- Hands-on experience pulling and reconciling data across systems (ERP, CRM, planning tools), and a track record of using or testing AI tools to speed up finance work.
HOW YOU WORK
- You possess a strong sense of intellectual curiosity and professional ethics.
- Demonstrated self-initiative: you spot problems and fix them without being asked.
- You operate independently, with a continuous improvement mindset.
- You communicate clearly with non-finance partners and senior leaders.
- You fit Teleport's culture and behaviors, and you do well in a fast-moving startup environment.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Задачи:
— расследование нелегальных сетей
— построение интеллектуальных конвейеров на базе искусственного интеллекта
Требования:
— опыт работы с расследованиями финансовых преступлений, отмыванием денег, нелегальными азартными играми, подпольным банкингом
— знание OSINT и методов анализа угроз
— опыт работы с блокчейн-интеллектом и крипторасследованиями
— владение английским языком
— знание китайского (мандарин) будет преимуществом
Условия:
— удалённая работа
О проекте:
Развитие сервисов банка по продаже инвестиционных и памятных монет из драгоценных металлов.
Работа с банковскими системами, микросервисной архитектурой и интеграционными решениями.
Задачи:
- Анализ бизнес-потребностей и формализация системных требований
- Проектирование логики микросервисов и интеграционных взаимодействий
- Разработка и согласование технической документации
- Декомпозиция User Story, формирование бэклога, участие в спринтах
- Описание требований и сценариев в формате Gherkin (Given/When/Then)
- Валидация тест-кейсов и участие в приемке продукта
- Использование LLM для генерации требований
Требования:
- Опыт системного анализа от 5 лет
- Опыт проектирования микросервисов и их взаимодействий
- Уверенное знание REST / SOAP / Kafka
- Работа с форматами данных JSON / XSD
- Опыт сбора, анализа и формализации бизнес- и системных требований
- Знание SQL, опыт оптимизации запросов и проектирования БД
- Понимание реляционных и нереляционных БД
- Опыт работы с Jira / Confluence / Redmine
- Знание Agile / Scrum / Kanban / Waterfall
- Опыт написания требований в формате Gherkin
- Опыт применения LLM в работе с требованиями
Условия:
- Работа над развитием банковского продукта
- Участие в проектировании сложных интеграционных решений
- Работа в команде аналитиков, разработчиков и архитекторов
УдалённоmiddleГеография найма не уточнена
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Задачи:
— Коммуникация с заказчиками, сбор и формализация бизнес-требований.
— Подготовка FSD и технических заданий.
— Моделирование процессов с использованием UML, BPMN и ER-диаграмм.
— Проектирование интеграций REST/SOAP, Kafka/RabbitMQ и работа с API.
— Участие в архитектурных обсуждениях и улучшении технических решений.
— Сопровождение нагрузочного и UAT-тестирования.
— Планирование задач и взаимодействие с командой разработки.
Требования:
— Опыт работы системным аналитиком от 4–5 лет.
— Уверенное знание SQL (PostgreSQL, Oracle или MS SQL).
— Опыт проектирования интеграций и работы с API.
— Знание Jira и Confluence.
— Высшее образование.
— Опыт в банковской сфере будет преимуществом.
Условия:
— Участие в масштабных проектах банковского и enterprise-сектора.
— Работа с высоконагруженными и масштабируемыми системами.
— Возможности профессионального роста.
— Конкурентный компенсационный пакет.
— Релокационный пакет для кандидатов из других городов и стран.
ОфисseniorТашкент; Релокационный пакет для кандидатов из других городов и стран; #SeniorSystemAnalyst #SystemAnalyst #ITJobs #Tashkent #Relocation #Hiring #Expera
Требования:
— Опыт работы Business Analyst
— Сильные знания банковской сферы
— Хороший английский для коммуникации
О компании:
Проекты в банковском домене.
Область разработки:
Международная IT компания которая занимается разработкой и поддержкой высоконагруженных проектов для крупных компаний, основная часть которых представляет собой развлекательные онлайн-сервисы.
Задачи:
— Анализ эффективности промо-кампаний, программ и иных активностей;
— Проведение анализа данных для выявления закономерностей и инсайтов в пользовательском поведении;
— Оптимизация запросов с целью повышения производительности аналитических процессов;
— Участие в разработке отчетности и дашбордов для отслеживания ключевых продуктовых метрик с использованием Superset и Tableau;
— Сбор и консолидация данных из различных источников;
— Формулирование гипотез по улучшению продуктовых показателей на основе проведенного анализа;
— Взаимодействие с внешними командами для внедрения продуктовых улучшений.
Требования:
— Опыт работы на позиции продуктового аналитика или аналитика данных от 2 лет;
— Понимание продуктовых метрик, их взаимосвязей и методов влияния на них;
— Знание основ математической статистики и теории вероятностей;
— Владение методами сбора и анализа данных;
— Уверенное знание SQL (MySQL, Clickhouse);
— Хорошее владение Python для проведения анализа данных;
— Опыт работы с инструментами визуализации данных, предпочтительно Superset.
Будет плюсом:
— Опыт работы в сфере Digital Entertainment, диджитал-маркетинга или e-commerce;
— Практический опыт построения дерева метрик с нуля для действующих продуктов;
— Опыт работы с Airflow.
Условия:
— Официальное оформление, медицинская страховка, рабочая виза, компенсация английского, и многое другое подробнее в лс.
Location: London, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About Deliveroo
At Deliveroo, our mission is to build the definitive food company. To make that possible, we’re creating an environment where everyone can belong, grow, and do their best work.
About the Role
As an
Italy Payroll Analyst
, you will be responsible for administering and overseeing the end-to-end payroll process for our Italy population. You’ll partner closely with HR, Finance, Employment Tax, Legal and our external payroll providers to ensure accurate, compliant and timely payroll delivery.
This is an individual contributor role requiring strong technical expertise in
Italian payroll legislation, statutory compliance and employee taxation
. You will act as the
Italy Payroll Subject Matter Expert (SME)
, ensuring robust payroll governance, maintaining high standards of accuracy and supporting continuous improvement across our Workday and CloudPay payroll ecosystem.
You will also play an important role in identifying opportunities to simplify, automate and improve payroll processes, while supporting wider global payroll initiatives and projects.
What You’ll Be Doing
Lead the end-to-end Italy payroll process
— from data preparation, validation and payroll inputs through to review, reconciliation and final sign-off, ensuring accurate and timely payroll delivery.
Act as the Italy Payroll SME
, providing expert guidance on Italian payroll legislation, taxation, statutory requirements and payroll best practice.
Support other payroll entities within the team where required, contributing to the successful delivery of the wider global payroll operation.
Oversee outsourced payroll processing
with our payroll provider, CloudPay, ensuring agreed SLAs, controls and quality standards are consistently met.
Partner cross-functionally
with HR, Finance, Employment Tax and Legal to resolve payroll issues, ensure accurate data flows and deliver a seamless employee payroll experience.
Maintain strong knowledge of Italian payroll legislation and statutory requirements
, ensuring payroll processes remain compliant with regulatory changes.
Ensure the accurate and timely processing of
Italian statutory payments, contributions and filings
, including social security, income tax and other applicable statutory requirements.
Review and reconcile payroll outputs
, identifying discrepancies and ensuring issues are investigated and resolved before payroll sign-off.
Prepare and reconcile payroll journals and Finance reporting
, ensuring payroll costs are accurately reflected in financial records and supporting audit requirements.
Manage payroll controls and governance
, ensuring appropriate checks are completed throughout each payroll cycle and maintaining a strong audit trail.
Drive continuous improvement and automation
, identifying opportunities to reduce manual processes, improve controls and increase payroll efficiency.
Act as SME for CloudPay and Workday payroll processes in Italy
, supporting system enhancements, integrations, testing and payroll-related projects.
Support
Workday and payroll implementation/migration projects
, including requirements gathering, testing, parallel runs and go-live activities.
Build strong relationships with internal and external stakeholders
, proactively identifying risks and resolving payroll issues.
Share knowledge and best practice with colleagues across the wider Payroll team, supporting a culture of continuous learning and operational excellence.
Support regional and global payroll initiatives
, ensuring Italy remains aligned with Deliveroo’s wider payroll strategy and operating model.
Requirements
3+ years of progressive payroll experience
, including significant experience managing
Italian payroll
and statutory compliance.
Strong technical knowledge of
Italian payroll legislation, employment taxation, social security and statutory requirements
.
Experience managing or overseeing
outsourced payroll providers
, ideally within a multinational or international organisation.
Experience with
Workday and/or CloudPay
is preferred but not essential.
Proven ability to manage the
full payroll lifecycle
, including payroll inputs, validation, reconciliation, sign-off and statutory reporting.
Strong understanding of payroll controls, governance, audit requirements and data integrity.
Excellent analytical and problem-solving skills, with a high level of attention to detail.
Strong communication and stakeholder management skills, with the ability to work effectively across HR, Finance, Tax, Legal and external vendors.
Demonstrated ability to identify and deliver
process improvements, automation and operational efficiencies
.
Experience supporting payroll system implementations, integrations, testing or transformation projects is desirable.
Advanced Excel skills, with the ability to perform detailed payroll reconciliations, analyse large datasets and identify discrepancies.
Ability to work independently, take ownership of deliverables and confidently challenge processes or data where required.
Fluent Italian and strong English communication skills
are highly desirable.
Why Deliveroo?
We’re a technology-driven company transforming how the world eats — making food more accessible, faster and better. At Deliveroo, you’ll join a collaborative and dynamic environment where innovation, ownership and agility are valued.
We also believe that great workplaces celebrate diversity and inclusivity. We welcome every background, perspective and passion — especially if you share our love for food and excellence.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Мы ищем младшего аналитика в команду Казначейства и управления структурной ликвидностью — позиция для тех, кто хочет развиваться в области ALM-рисков и казначейских операций.
Задачи:
- Разработка и интеграция современной платежной платформы, поддерживающей безопасную и надежную обработку платежей и взаимодействие с внешними системами.
- Работа с масштабируемыми микросервисами, асинхронной обработкой транзакций, обработкой статусов платежей и ошибок с акцентом на устойчивость, безопасность и высокую доступность.
Требования:
- Опыт работы системным аналитиком не менее 3 лет.
- Практический опыт с платежными системами и глубокое понимание жизненного цикла платежных транзакций, включая ключевые этапы обработки, статусы и переходы состояний.
- Опыт документирования бизнес- и системных требований.
- Опыт подготовки интеграционных спецификаций.
- Практический опыт работы с REST API.
- Хорошее понимание JSON.
- Практический опыт работы с SQL.
- Знание UML и BPMN.
- Понимание принципов идемпотентности.
- Понимание синхронных и асинхронных сценариев интеграции.
- Опыт взаимодействия с разработчиками, QA-инженерами и архитекторами.
- Опыт декомпозиции требований до уровня, достаточного для разработки и тестирования.
- Прямой практический опыт работы с Compass Payment.
- Уровень английского языка от Intermediate и выше.
Условия:
- Работа в гибридном формате в городе Алматы.
- Зарплата от 1 000 000 до 1 700 000 KZT брутто в месяц.
- Возможность профессионального, финансового и карьерного роста.
- Система наставничества и адаптации для новых сотрудников.
- Возможность дополнительного заработка до 1 000 EUR в месяц в виде годового бонуса.
- Доступ к корпоративному порталу обучения с постоянно обновляемой базой знаний.
- Корпоративная жизнь: мероприятия, игры, питание.
- Компенсация сертификаций (AWS, PMP и др.).
- Реферальная программа.
- Частная медицинская страховка и компенсация спортивных расходов в зависимости от типа занятости.
Проект:
- Клиент — крупная международная технологическая компания в области цифровой инфраструктуры.
- Разработка и поддержка высоконагруженных платформ с распределёнными системами, облачными средами, интеграциями и продвинутыми практиками безопасности.
- Фокус на надёжность, масштабируемость и непрерывное развитие платформы.
Технологический стек проекта:
Compass Payment, Go, Microservices, REST, gRPC, Protobuf, Kafka, PostgreSQL, Docker, Kubernetes, Event-Driven Architecture, CQRS, Saga, Transactional Outbox, OAuth, TLS, API & Integration Testing, Monitoring & Distributed Tracing.
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.
Baymard Institute is hiring a full-time remote Market Research Data Analyst. The company conducts large-scale UX research studies shared via a B2B SaaS platform serving over 2,000 retailers, brands, and agencies worldwide.
Задачи:
— Ведение количественных опросных исследований от начального этапа проектирования до анализа и публикации.
— Проведение исследований и проектирование опросов: изучение отрасли, формулировка исследовательских вопросов, разработка анкет, определение аудитории и квот, анализ пилотных данных, учет источников ошибок и качества данных.
— Выполнение и контроль полевых работ: программирование и тестирование опросов (используется Alchemer), координация с поставщиками выборки (PureSpectrum), мониторинг и оценка качества данных, самостоятельное решение проблем.
— Анализ и синтез данных: очистка и структурирование данных, описательный и сравнительный анализ, выявление значимых результатов, создание графиков и написание аналитических выводов, перевод количественных данных в понятные инсайты для специалистов по UX электронной коммерции.
— Возможное расширение роли на более сложные исследования, управление программами или стратегические инициативы.
Требования:
— 2–3+ года опыта в количественных исследованиях, маркетинговых исследованиях, опросах или смежных областях.
— Практический опыт проектирования анкет и проведения онлайн-опросов.
— Опыт анализа опросных данных и синтеза количественных результатов.
— Знание основ проектирования опросов, включая формулировку вопросов, шкалы ответов, структуру анкеты, скрининг и источники ошибок.
— Опыт работы с платформами опросов, такими как Alchemer, Qualtrics, SurveyMonkey или аналогичными.
— Навыки работы с Excel, Google Sheets, статистическим ПО или другими аналитическими инструментами.
— Умение интерпретировать проценты, распределения, кросс-табуляции и различия между группами респондентов.
— Способность ясно излагать результаты в письменной форме для аудитории без исследовательского опыта.
— Сильные коммуникативные навыки и внимательность к деталям.
Условия:
— Удалённая работа, полный рабочий день.
— Локация: Великобритания, Ирландия или ЕС.
— Зарплата зависит от квалификации и средней по стране.
— Минимальные командировки: 1-2 недели в год, обычно для общекомандных встреч.
— Требуется свободное владение письменным английским языком.
— Начало работы: как можно скорее.
Контакт для отклика: quant2026@baymard.com
Откликаться нужно по ссылке: https://weworkremotely.com/remote-jobs/baymard-institute-market-research-data-analyst
УдалённоIs limited; expect only 1-2 weeks of travel each year (often only in connection with the company-wide meetup)
Location: Worldwide
Workplace: remote
We are looking for a Data Analyst to join our team.Requirements:Solution-oriented mindset;Understanding specifics of iGaming / Fintech;Knowledge of mathematical statistics and hypothesis testing;SQL (complex queries + optimization);Python (general principles + libraries for data analysis);Experience with Airflow, DBT, ClickHouse (DAGs + MVs);Experience with building reports in BI systems.Responsibilities:Solving business problems using data;Collecting and processing data from various sources (ClickHouse, PostgreSQL);Building batch data pipelines using Airflow and DBT;Building core dashboards and models for self service analytics in BI systems (Metabase);Formulating hypotheses and conducting A/B tests with subsequent evaluation of results;Identifying insights and making recommendations for product improvements.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.
Требования:
— Опыт бизнес-аналитиком, методологом или техническим писателем 1,5–3 года.
— Знание Jira, Confluence, BPMN 2.0, UML и инструментов моделирования (draw .io, Miro, Bizagi, Camunda, StormBPMN, Business Studio).
— Понимание принципов моделирования бизнес-процессов, BPM CBOK и BPMN Method and Style.
— Аналитическое и системное мышление, умение работать с неполной информацией и несколькими проектами одновременно.
— Навыки адаптации подходов к контексту задачи, коммуникации со стейкхолдерами и управления ожиданиями.
— Преимущество: опыт в консалтинге, IT или финтехе.
Условия:
— Локация: удалённо 2 месяца, затем релокация в Лимасол с работой в офисе.
London, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Budapest
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; 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