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Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution. What you'll actually do - Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior. - Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services. - Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions. - Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed. - Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture. - Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer problems where requirements stay stable after launch. - You prefer work centered on training models or producing analysis rather than building and operating backend services. Nice to have - Fraud prevention, payments risk, or platform abuse experience. - Integrating risk-scoring services or building rules engines and rate limiters. - Case management, appeals, and risk operations tooling. - Familiarity with Stripe. - Experience building real-time scoring, graph-based account linkage systems. - Python/Go experience. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.

• Сильные аналитические навыки и структурное мышление. • Уверенная работа со стейкхолдерами.

Разрабатывать и поддерживать ML-модели полного цикла — онбординговые и транзакционные — на кредитных продуктах Ozon Банка; Анализировать большие объёмы данных для обнаружения аномалий и паттернов мошенничества;

Location: Kazakhstan; Armenia; Georgia Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own fraud and abuse detection across our cashback, credit, promo, and referral mechanics — building the monitoring that keeps these programs profitable and safe. What you'll do: - You'll be the dedicated fraud and abuse analytics owner for loyalty, cashback, credit, and referral programs across Salmon Bank. - You'll work directly with Risk, Product, and business teams — moving from a suspicious pattern to a tested hypothesis, an investigation, and a permanent monitoring rule. - The schemes you catch and the controls you build directly shape how much abuse costs the business, and how fast we close each gap. What you'll own: - Monitor transactions and customer behavior across cashback, promo, referral, and credit products to catch abuse patterns as they emerge. - Build and maintain SQL/Python-based reports and monitoring across large transactional datasets. - Form and test hypotheses on potential abuse schemes, then investigate flagged cases and assess their financial impact. - Calculate the economics behind each case — potential and actual losses, revenue impact, cost of abuse — to prioritize what gets fixed first. - Work with business and product teams to close the gaps: propose changes to product terms, promo rules, or cashback mechanics. - Turn every closed case into a permanent alert or trigger, and revisit past cases on a regular basis to check whether the pattern has returned. What makes you a strong fit: - Experience investigating and preventing abuse in banking or financial programs — cashback, credit cards/credit lines, promotions, referral programs, loyalty programs, or quasi-cash/transaction abuse. - You don't need to have covered every category above — what matters is hands-on experience building continuous monitoring, not one-off analysis. - Strong SQL and Python (or equivalent scripting), comfortable working directly with large transactional databases. - A track record of turning a hypothesis into a working monitoring system, not just a one-time report. What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia

Responsibilities Own the product strategy and roadmap for Cryptopay’s B2B crypto-processing product. Translate business goals, market insights and customer needs into clear product priorities and executable initiatives.

- Опыт в роли Billing / Payment Analyst, Payment Manager или Anti-Fraud от 1.5 лет.

Location: California Workplace: onsite Role Overview   We are looking for a Hardware Lab Technician to own the physical side of a large-scale robot data collection operation. You’ll keep the fleet running, build what’s next, and be the person the lab calls when something stops working. This is a hands-on role across research and low-volume production where embodiments, grippers, and camera rigs change fast—and the hardware has to keep up. Day-to-day teleoperation is handled by a dedicated operator team you support; you maintain what they run on and help ensure data quality through reliable, well-calibrated hardware.   Project Details Location: 100% Onsite (Santa Clara, CA, US) Employment: Full-time W-2 Shifts: Monday–Friday, 7AM - 3:30PM or 9AM - 5:30PM  Start Date: ASAP Contract Duration: 12-month contract with possibility of extension Rate: $40 per /hour What You’ll Do Build, wire, and bring up data collection stations — robot arms, multi-camera rigs, workstations, teleoperation hardware, and cable management that survives daily operator use. Keep the fleet running: daily checks, preventive maintenance, calibration routines, and diagnosing faults on arms, hands, and sensors. Swap and integrate end-effectors and grippers, dexterous hands, force/torque and tactile sensors, and RGB-D cameras. Run calibration and firmware procedures across the fleet, and catch drift before it reaches the data. Assemble and iterate prototype hardware coming out of our mechanical and electrical engineers — printed parts, off-the-shelf components, vendor-fabricated parts, and custom harnesses. Soldering, crimping, connectorization, harness building, and PCB rework support at the bench. Own the lab's physical state: spares and consumables inventory, parts kitting, bench and tool organization, and shipping, returns, and RMAs with vendors. Support teleoperators on hardware issues during live collection — triage fast, fix or escalate, and get the station back up. Document what you do. Build sheets, maintenance logs, calibration records, and hardware SOPs the next technician can follow. Help bring up new embodiments and new stations alongside engineers and researchers. What we need to see 3+ years hands-on technician experience in a lab, prototyping, or low-volume build environment — robotics, medical devices, aerospace, semiconductor equipment, or similar. AS in a technical field, a relevant trade or technical certificate, or equivalent hands-on experience. Mechanical assembly fundamentals: fasteners and torque, bearings, belts, linkages, and the ability to read CAD and mechanical drawings (Onshape, SolidWorks, or similar). Electrical hands: soldering including basic SMD rework, crimping and connectorization, harness building, and confident use of a multimeter and oscilloscope. Comfortable in Linux at the command line — SSH into a workstation, run a calibration script, read a log, and tell us what it said. Experience with motors, encoders, and sensor integration, and an understanding of what a bad ground or a marginal cable does to a data stream. Methodical and self-documenting. An undocumented fix is a future outage. Comfortable with ambiguity and frequent change, and able to prioritize when more than one lab needs you at the same time. Able to work on-site in Santa Clara, with flexibility on shift coverage as the labs run extended hours. Ways to stand out from the crowd Humanoid or bimanual platforms (Unitree, Fourier, ALOHA/ARX-class rigs) and dexterous hands. Maintenance and calibration on collaborative or industrial arms — UR, Franka, xArm, ARX, or equivalent. Multi-camera rig build and calibration; RealSense, ZED, or Orbbec-class depth cameras. Running and maintaining FDM or SLA printers, and designing your own simple fixtures and adapters. Light scripting in Python or bash to automate a repetitive bench or calibration task. Experience in a high-throughput lab or production line where uptime or yield was a number someone tracked. Vendor-facing experience: RMAs, lead times, and spares planning. 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.

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: Taguig, National Capital Region Workplace: Hybrid We are looking for a detail-oriented Investigation Specialist to support anti-fraud operations and case handling. In this role, you will manage incoming cases, perform client callouts, validate data, and conduct initial investigations to ensure accuracy and proper case routing. You will also collaborate with investigation and forensic teams to support evidence collection and analysis, playing a key role in maintaining the integrity of our fraud detection and prevention processes. KEY RESPONSIBILITIES: - Manages cases received thru Shared Mailbox and Hotline. - Perform callouts according to the antifraud workflow. - Review client information before and during calls using the Bank’s system and other resources provided by the department. - Conduct Initial Investigation of Cases Triggered or received from other departments. - Communicate with clients or related parties with the main goal to proof correctness of data. - Check correctness of triggers and filter it to which department it should be sent to procced - Ensure that all data were gathered for the following End to End investigation. - Provides direct technical support to investigation, litigation, and forensic analyst to collect, preserves, process, analyze and interpret digital evidence from broad range of data available on open sources (social media, etc). REQUIREMENTS AND EXPECTATIONS - Bachelor’s Degree in Criminology or any related four year courses - Law enforcement/Military background preferred - At least 1-year experience in Investigation preferably in Financing, Banking and Security Industry prefered. - Proficient in Microsoft Applications (Excel, Word, Powerpoint) - Excellent written and verbal communications

• Анализировать платежный трафик, выявлять fraud-паттерны, аномалии и подозрительные сценарии. • Разрабатывать и совершенствовать антифрод-правила и risk logic с учетом особенностей разных стран и рынков.

- Задачи: разработка платёжных микросервисов (ledger, KYC, anti-fraud, лимиты), проектирование схем данных и асинхронного обмена, API-контракты, unit/integration/e2e-тесты, релиз и разбор инцидентов. - Требования: глубокое понимание event loop, конкурентности, производительности;

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 sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. 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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

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 sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/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, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required 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.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. 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 is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Role Overview: As a Senior Product Manager, you will drive the execution of new consumer trading products at Trust Wallet and help shape their strategy and vision. You will work closely with engineering, design, marketing, business development, and security teams to ship fast, iterate with data, and deliver a seamless and secure user experience in the fast-evolving Web3 space. Key Responsibilities: - Own end-to-end delivery and iteration of new trading products — from requirements and specs to launch, post-launch analysis, and continuous optimization. - Build community and creator driven experiences that help users discover opportunities and make better trading decisions. - Design and scale user growth programs — referral, invite, rewards, and partner incentives, including attribution, reward logic, settlement, and abuse prevention. - Explore and build new products around tokenized real-world assets (RWA), bringing new asset classes to on-chain trading while handling their unique requirements. - Apply a deep understanding of Web3 fundamentals, DEX mechanics, and market data to product decisions, ensuring new products are built on a solid trading foundation. - Define success metrics, set up tracking, and run experiments to improve activation, retention, and trading volume. - Track on-chain trends and the fast-moving consumer crypto landscape, and turn insights into product iterations and new product opportunities beyond the current roadmap. Experience: - 3+ years of experience on consumer crypto trading products (wallet, DEX/aggregator, or trading apps); 5+ years as a product manager. - Preferred: hands-on experience building referral, affiliate, or rebate programs — reward mechanics, attribution method, commission settlement, and anti-fraud. - Deep, first-hand familiarity with the latest wave of social and copy-trading apps and on-chain discovery tools — you use them yourself and have your own perspective on them. - Solid understanding of on-chain trading: DEX and aggregator routing, slippage, gas, MEV, token market data (price, liquidity, holders), and memecoin/launchpad dynamics. - Proven execution and strong communication — shipping fast, running multiple workstreams in parallel, writing clear PRDs, and staying resilient in a fast-moving, high-stakes environment. - Strong growth and data sense — metrics, funnels, cohorts, viral coefficient, LTV/CAC, and experiment design, to understand users and improve the product. - Nice to have: experience with creator/KOL ecosystems or community operations. ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Бэкенд на Go — микросервисы, аутентификация, API-ключи, сборщики данных — и исследования: почему резолвер ответил так, где протекает прокси, что видно по DNS-запросам. Про многое из этого в интернете не написано — придётся ставить стенд и смотреть.

Задачи: — Владение функционалом от бизнес-анализа до технической реализации — Проектирование сквозных пользовательских сценариев и технических решений — Подготовка OpenAPI/Swagger, JSON Schema и UML диаграмм — Проектирование REST API, потоков Kafka и схем PostgreSQL — Взаимодействие с командой Data Engineering по ClickHouse и требованиям к данным — Представление решений старшим заинтересованным лицам Требования: — Опыт работы не менее 5 лет в роли технического бизнес-аналитика в FinTech, торговле или масштабной электронной коммерции — Сильные навыки системного проектирования, SQL и PostgreSQL — Опыт работы с REST, Kafka, OpenAPI и микросервисами — Понимание OLTP/OLAP и ClickHouse — Владение английским языком на уровне C1 — Сильные аналитические и коммуникативные навыки Плюсы: — Опыт в Anti-Fraud / Risk Management — Опыт в CFD/Forex или криптовалютах — Опыт работы с Power BI Условия: — Поддержка релокации — Частное медицинское страхование — Корпоративное питание — Премиальные спортивные абонементы — Годовой бонус до 30% — Возможности профессионального роста