Вакансии

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

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Analytics Engineering, you'll lead a team of 8 and report to the VP of Data & Insights. You set direction across the data organization, stay close enough to the work to guide technical decisions credibly, and partner with Data Engineering, Data Science, IT, and business leaders. You will have three mandates: Build trusted, AI-ready self-service. Deliver a semantic model that answers business questions correctly, with the telemetry, evals, and model flexibility to prove it and keep costs in check. Set the strategy for how GitLab accesses data. Own the data models, BI tools, and AI access patterns (Claude, MCP servers, Slack agents) that put trusted data in everyone's hands. Build data applications the whole company relies on. Ship production-grade apps that combine trusted data, APIs, and AI to answer questions dashboards can't. What you'll do Build and own a trusted semantic model, with governed metrics and business definitions, that answers business questions consistently across every tool Build evals and ground-truth datasets that measure answer quality, and use them to drive improvements and catch regressions Instrument telemetry to see who uses the semantic model and AI tools, what they ask, and where they get stuck Build a model-selection harness so GitLab can route work across LLMs and stay flexible on cost and quality Own data modeling and curated datasets for self-service, with the ownership, data contracts, testing, and documentation that make them AI-ready Define the AI data access strategy: when to use BI, Claude, MCP servers, or Slack agents, with the governance and security to keep access trusted and reliable Own the enterprise BI and self-service tools strategy (e.g., Tableau, Omni), including evaluation, adoption, and cost Build self-service capabilities, such as Claude skills, documentation, and guided workflows, that help people find and use data on their own Build and own company-wide data applications, from Claude-built single-page apps to apps inside BI tools, that combine Snowflake data, API calls, AI-powered deep dives, and write-back to Postgres or Snowflake Set engineering standards for data apps (security, authentication, testing, deployment, and monitoring) so they're reliable at company scale Set a long-range roadmap tied to company strategy, and a lightweight operating model that balances urgent stakeholder needs with investment in reusable data products and tech-debt reduction Hire, coach, and retain a high-performing team of 8: build career paths, develop leaders, distribute ownership, and recognize great work Act as customer zero for GitLab and GitLab Duo in data workflows, sharing feedback with Product and Engineering What you'll bring 12+ years in analytics engineering, data engineering, or BI, including 5+ years leading teams and 2+ years managing managers or senior leads Deep expertise in data modeling and semantic layers (e.g., dbt Semantic Layer, Snowflake semantic views, LookML, Cube), and expert dbt, including testing and CI/CD across a multi-team project Hands-on experience building LLM-powered data access (text-to-SQL, agents, MCP servers), including evals and telemetry for answer quality, and advanced use of AI coding agents such as Claude Code Expert SQL and strong Snowflake experience; working knowledge of Python Strong data governance experience: data quality, lineage, certified datasets, and access controls (RBAC, row access and masking policies) Track record of leading cross-functional data initiatives from strategy through adoption and measurable business impact, including enterprise BI and self-service at scale Systems thinker who sees how models, pipelines, and architecture decisions connect, and designs for second-order effects Exceptional communicator who writes clear technical specs, sets a clear vision, makes trade-offs visible, and influences executives and peers across the company Pragmatic in ambiguity: makes sound decisions on emerging technology and ships the right next version rather than waiting for the ideal end state Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with LLM routing or gateway tools and managing model costs Experience with Tableau, Omni, or a BI platform migration Experience with web app development (e.g., React, TypeScript) and Postgres Experience owning finance or revenue-critical data (e.g., ARR, consumption) where accuracy and auditability are non-negotiable About the Team Analytics Engineering makes GitLab's data trusted, easy to find, and ready for anyone to use, whether they ask a dashboard, Claude, or a Slack agent. We own the curated data models, the semantic layer, the self-service tools, and the data applications that let teams answer their own questions. AI is changing how people get to data. Questions that once went through an analyst now go straight to AI tools, so the answers are only as good as the data models and business definitions behind them. Our job is to make those answers correct, consistent, and measurable. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

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 .

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : We are seeking a diligent and driven security operations specialist with strong hands-on technical skills, proven problem solving ability and excellent communication skills. As an security operations specialist at WorldQuant you will work closely with our technologists, researchers and portfolio managers to ensure systems are following best practices, perform incident response, provide patch and vulnerability remediation guidance, and support the identity and authorization infrastructure of the firm. Responsibilities (including but limited to): Research CVEs and other threat intelligence to formulate and deploy a response Operate and manage WorldQuant’s secrets and authentication management tool instances Develop tooling for continuous audit, code analysis and other security analysis activities Monitor and operate detection tools and respond to identified security issues in the environment Provide operational support for Authentication, Identity and other security infrastructure. Operate and improve the firms security monitoring and detection and infrastructure Provide customers support for foundational components such as Kerberos, SSH, SSL and more. Requirements : Degree in a technical or quantitative discipline from a top tier University Solid understanding of UNIX security. Knowledge of industry standard tools beneficial - (eg gitlab, nix, redhat linux, claude, jira, etc) Scripting experience, preferably in python. Experience operating security infrastructure, developing integrations of security products. Ability to communicate and design solutions related to security from first principles. Experience with Linux, Kerberos, SSL, SSH and  Active Directory Experience with agentic development Strong verbal and written communication skills in English What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams Employee resources groups with strong diversity and inclusion culture #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

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.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Do you have a passion for large-scale cloud systems, graph technology, and robust system design? Are you eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. As a Developer on our team, you will sit at the intersection of our entire platform ecosystem. You will gain hands-on experience bridging cloud infrastructure, robust backend services, and user-facing client code. In this role, you will actively contribute to: Telemetry & User Observability: Building tools and metrics that give users clear insights into platform health and job execution. Data Transfer & Performance: Optimizing pipelines for seamless data ingestion and streaming between client environments and our cloud backend. Developer UX Improvements: Refining client interfaces and integration points to ensure our platform is intuitive, fast, and easy to adopt. This is an opportunity to directly impact the tools our global customer base relies on every day, working alongside a supportive team that will help you sharpen your skills across the full technology stack. What You'll do: Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura Write new features that bridge the gap between on-premise and cloud solutions Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability Work on and improve the observability of our cloud systems Work in a highly collaborative and friendly team of skilled and motivated engineers Identify and integrate new areas of research that can solve our customers’ most difficult problems Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database What You'll Bring: Interest in JVM languages or system programming languages, such as C, C++, Rust and willingness to learn Java, Go, Python Interest or Experience in Kubernetes and cloud computing Familiarity with graph theory Creativity and motivation to drive your own ideas Willingness to work in a distributed and remote-first team Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Do you have a passion for large-scale cloud systems, graph technology, and robust system design? Are you eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. As a Developer on our team, you will sit at the intersection of our entire platform ecosystem. You will gain hands-on experience bridging cloud infrastructure, robust backend services, and user-facing client code. In this role, you will actively contribute to: Telemetry & User Observability: Building tools and metrics that give users clear insights into platform health and job execution. Data Transfer & Performance: Optimizing pipelines for seamless data ingestion and streaming between client environments and our cloud backend. Developer UX Improvements: Refining client interfaces and integration points to ensure our platform is intuitive, fast, and easy to adopt. This is an opportunity to directly impact the tools our global customer base relies on every day, working alongside a supportive team that will help you sharpen your skills across the full technology stack. What You'll do: Improve Neo4j’s Graph Data Science platform, focusing on its integrations in Neo4j Aura Write new features that bridge the gap between on-premise and cloud solutions Write Java, Go and Python code with a strong focus on usability, efficiency, and scalability Work on and improve the observability of our cloud systems Work in a highly collaborative and friendly team of skilled and motivated engineers Identify and integrate new areas of research that can solve our customers’ most difficult problems Partner with software engineers from other teams in Neo4j to ensure interoperability with the core database What You'll Bring: Interest in JVM languages or system programming languages, such as C, C++, Rust and willingness to learn Java, Go, Python Interest or Experience in Kubernetes and cloud computing Familiarity with graph theory Creativity and motivation to drive your own ideas Willingness to work in a distributed and remote-first team Master's degree in Computer Science or another related field or 3+ years of professional experience as a software engineer #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Symbotic Inc. ищет опытного Senior Benefits Analyst для работы в гибридном формате в Уилмингтоне, штат Массачусетс. В обязанности входит управление и оптимизация программ льгот для сотрудников, а также обеспечение их соответствия нормативным требованиям. Кандидат должен обладать знаниями в области ACA, COBRA, ERISA, HIPAA и FMLA, уметь работать с HRIS, проводить анализ и составлять отчеты, а также уверенно владеть Excel. Зарплата варьируется от 101 000 до 138 600 долларов.

Требования: — 5+ лет опыта в маркетинговой аналитике — 3+ года управления командой — Уверенность в методологии, коде и бизнес-дискуссии О компании: Магнит OMNI — бизнес-группа «Магнита», создающая единый омниканальный опыт для клиентов путем объединения онлайн и офлайн. Это делает покупки удобнее и доступнее для миллионов людей.

Требования: — Опыт в финтехе, банке или платёжном сервисе — Умеет и в данные, и в живые интервью — Английский рабочий, немецкий будет большим плюсом — Хочет строить с нуля, а не поддерживать готовое О компании: Финтех-проект в Швейцарии: продукт для людей, которые живут и зарабатывают между странами. Проект на стадии исследования, решения о продукте принимаются прямо сейчас. Старт в Швейцарии

Задачи: — продвижение компании и развитие маркетинговых каналов: сайт, контекстная реклама, профильные площадки, Telegram/MAX — аналитика эффективности — контроль бюджета — работа с подрядчиками — подготовка регулярной отчётности Требования: — рассматриваются кандидаты с небольшим опытом

Требования к квалификации: — Образование: степень бакалавра в области информационных технологий, бизнеса или смежной сфере. — Опыт работы: более 5 лет бизнес-аналитиком, в том числе не менее 3 лет в среде Agile; более 2 лет скрам-мастером в проектах по разработке программного обеспечения. — Сертификация (желательно): сертификат Certified Scrum Master (CSM) или аналогичный сертификат в области Agile; профессиональный сертификат в области бизнес-анализа (например, CBAP, PMI-PBA). — Навыки: глубокое понимание жизненного цикла разработки программного обеспечения (SDLC) и методологий Agile; опыт моделирования бизнес-процессов, управления требованиями и анализа данных; уверенное владение инструментами Agile (например, Jira, Confluence или аналогичными платформами); развитые навыки межличностного общения, коммуникации и фасилитации; владение английским языком на уровне Intermediate или выше; умение одновременно вести несколько задач и проектов в условиях высокой интенсивности работы; аналитический склад ума, внимательность к деталям и умение решать возникающие проблемы. — Ключевые компетенции: отличные навыки взаимодействия с заинтересованными сторонами и коммуникации; лидерские качества для руководства кросс-функциональными командами; развитые навыки критического мышления, ведения переговоров и разрешения конфликтов; способность работать самостоятельно при минимальном контроле; умение адаптироваться к меняющимся приоритетам и условиям работы. Задачи: — Сбор требований: выявление, документирование и согласование бизнес-требований, а также функциональных и нефункциональных требований посредством интервью с заинтересованными сторонами, проведения рабочих встреч (воркшопов) и анализа существующих систем. — Анализ процессов: анализ и описание текущих и целевых бизнес-процессов, выявление областей для оптимизации и разработка решений по повышению эффективности. — Взаимодействие с заинтересованными сторонами: обеспечение коммуникации между заинтересованными сторонами и командой разработки для гарантии соответствия продукта потребностям бизнеса. — Документирование: подготовка подробной документации, включая пользовательские истории (user stories), сценарии использования (use cases), карты процессов, диаграммы потоков данных, прототипы интерфейсов (wireframes) и модели бизнес-процессов. — Проектирование решений: совместная работа с технической командой над проектированием и проверкой предлагаемых решений. — Тестирование и проверка: взаимодействие с командой тестирования (QA) для подтверждения соответствия продукта установленным требованиям, а также участие в приемочном тестировании пользователями (UAT). — Практики Agile: руководство командой и ее обучение практикам Agile, поощрение самоорганизации и сотрудничества. — Планирование и фасилитация спринтов: организация и проведение всех мероприятий Scrum, включая планирование спринта, ежедневные летучки (stand-ups), ретроспективы и обзоры (reviews). — Управление бэклогом: взаимодействие с владельцем продукта (Product Owner) для обеспечения проработки, ясности и готовности бэклога к работе команды. — Устранение препятствий: выявление и устранение любых помех, способных замедлить работу команды. — Метрики и отчетность: отслеживание ключевых показателей (скорость работы команды, ход выполнения спринта, сроки проекта) и информирование о них заинтересованных сторон. — Непрерывное совершенствование: инициирование и поддержка процессов постоянного улучшения работы команды, внедрение изменений для повышения продуктивности и качества. — Командное взаимодействие: создание атмосферы сотрудничества, формирование высокоэффективной команды, а также укрепление принципов прозрачности и доверия. Условия: — Работа только в офисе, гибридный и/или удаленный формат не рассматривается по данной позиции. — График работы: полный день. — Тип занятости: полная занятость. — Возможности для профессионального и личностного роста. — Бесплатные кофе, чай и другие угощения.

Задачи: — Проведение оценки компаний и финансовых инструментов; — Участие в проектах по финансовому и коммерческому due diligence; — Подготовка финансовых моделей, аналитических материалов и презентаций; — Анализ финансовой отчетности, рынков и отраслей; — Участие в проектах по привлечению финансирования и корпоративным сделкам. Требования: — Опыт работы 2 - 3 года в valuation и/или due diligence; — Уверенные навыки финансового моделирования и анализа отчетности; — Хорошее знание Excel и PowerPoint; — Опыт работы в Big Four будет преимуществом; — Продвижение в получении международной профессиональной сертификации будет преимуществом; — Внимательность, аналитическое мышление и умение работать в команде.

Компания Aventus IT ищет специалиста на позицию Business Analyst / Product Owner для удалённой работы из любой точки мира. Кандидат должен иметь опыт в сферах финтеха, кредитования или микрофинансирования, а также обладать развитым продуктовыми мышлением, проявлять инициативу и уметь работать самостоятельно. Важным требованием является уверенное владение английским языком для эффективного взаимодействия в международной команде.

Вакансия продуктового аналитика / продакт-менеджера в финтех-проекте, который ориентирован на людей, живущих и зарабатывающих между странами: работают в одной стране, платят налоги в другой и держат счета в третьей. Требования к языкам: английский на рабочем уровне, знание немецкого будет большим плюсом. Формат работы: удалённый.

Вакансия продуктового аналитика / продакт-менеджера в финтех-проекте, который ориентирован на людей, живущих и зарабатывающих между странами: работают в одной стране, платят налоги в другой, держат счета в третьей. Требования: — рабочий английский язык — знание немецкого языка будет большим плюсом Условия: — удалённая работа