Задачи:
— Изучение текущих агентов, их ролей и реальных сценариев работы
— Анализ существующих промптов, логики и слабых мест
— Выявление дублирования, хаоса, нестабильности и неочевидных зависимостей
— Устранение серых зон и непредсказуемого поведения
— Упорядочивание версий промптов, сценариев и изменений
— Структурирование архитектуры AI‑логики
— Сбор базовых тест‑кейсов для ключевых сценариев
— Доработка агентов под новые бизнес‑задачи
— Повышение точности, стабильности и предсказуемости ответов
— Поддержка JSON‑логики и передачи данных в CRM
— Анализ реальных ошибок и нестандартных кейсов из работы команды
— Снижение галлюцинаций, излишней самодеятельности и сбоев на стыках процессов
— Сбор обратной связи от пользователей и её трансформация в системные улучшения
— Участие в развитии новых AI‑направлений, включая OpenClaw
— Постепенное превращение AI‑контура из набора решений в понятную и поддерживаемую систему
Требования:
— Работа с системными промптами в бизнес‑задачах
— Знание особенностей поведения LLM: ограничения, галлюцинации, follow instructions, контекст, few‑shot
— Навыки настройки структурированных выходов (JSON) и сценариев интеграции ответов в системы
— Способность диагностировать источник проблемы (промпт, данные, процесс, архитектура)
— Развитое системное мышление, самостоятельность
— Владение базовым Python
— Понимание принципов работы API и интеграционной логики
— Опыт работы с API LLM (Claude, OpenAI и аналоги)
— Опыт работы с knowledge base и RAG‑подходами
— Опыт проведения evals, AI‑testing и regression checks
— Участие в проектировании AI‑архитектуры, автоматизации или CRM‑процессов
— Создание тестовых сред, симуляторов диалогов и agent playground
— Работа с большими наборами диалогов, behavioral analysis и HITL‑подходами
— Интерес к OpenClaw или опыт работы с аналогичными подходами к управлению AI‑контекстом и памятью
Условия:
— Оформление по ИП
— Дружелюбная атмосфера внутри компании
— Развитие через реальные задачи, а не формальные курсы
— Возможность предлагать идеи и видеть, как они внедряются
— Гибкий график работы и возможность удаленной работы
— Оплата за фактически отработанное время
— Участие в интересных проектах без лишнего микроменеджмента
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are seeking a VP of AI Strategy & Transformation — a hands-on technical leader who combines deep AI expertise with the strategic vision and executive influence to drive AI adoption across every business unit. This is not a research role or a traditional engineering management position. We need someone who has personally built and shipped production AI systems, understands the frontier of foundation models and agentic AI, and can translate that expertise into company-wide transformation.
The ideal candidate is, first and foremost, a deeply technical AI practitioner — someone who has architected and deployed AI systems at scale, and who can channel that credibility into driving AI adoption across every function of the organization. Not a theorist, not a people-manager-only — a builder-leader who ships and who makes others ship.
What You’ll Be Doing
1. Company AI Strategy & Transformation
Own the company’s AI roadmap end-to-end — from foundation model selection to business-unit-specific deployment plans:
Define and continuously refine the enterprise AI strategy, aligning it to revenue goals, product differentiation, and operational efficiency targets.
Conduct rigorous build-vs-buy-vs-partner analysis for foundation models, AI tooling, inference infrastructure, and data platforms.
Establish an AI governance framework covering model risk, data privacy, bias mitigation, and regulatory compliance across jurisdictions.
Serve as the primary AI advisor to the CEO and executive leadership team; translate frontier AI developments into actionable business implications.
Build and maintain a rolling 6/12/24-month AI transformation roadmap with clear milestones, investment thresholds, and go/no-go decision points.
Identify and evaluate strategic AI acquisition, investment, and partnership opportunities.
2. System Building & Technical Execution
Architect and deliver production-grade AI systems that create measurable business impact — not just prototypes:
Lead the architecture of LLM-powered applications including RAG systems, agentic workflows, fine-tuning pipelines, and prompt engineering frameworks at enterprise scale.
Design and implement AI-native infrastructure: model serving, automated evaluation, A/B testing frameworks, version control for prompts and models, and continuous monitoring for quality and drift.
Build and optimize AI agent systems, multi-model orchestration, tool-use chains, and autonomous workflow engines that solve real business problems end-to-end.
Build robust evaluation and benchmarking systems for AI outputs — measuring hallucination rates, task completion accuracy, latency, safety, and end-user satisfaction.
Personally prototype and review critical AI system designs; maintain hands-on technical credibility with the engineering team.
3. Organizational AI Enablement & Adoption
Drive AI adoption across every business unit — making AI a core competency for the entire organization, not just the engineering team:
Design and execute a company-wide AI literacy program segmented by role: executive leadership, product managers, engineers, operations, customer-facing teams, and support functions.
Create internal AI tooling, templates, and playbooks that make it radically easy for every business unit to leverage AI capabilities (prompt libraries, no-code/low-code AI interfaces, internal copilots, AI-assisted workflows).
Establish an AI Center of Excellence that serves as the hub for best practices, reusable components, and cross-functional AI project incubation.
Implement a structured AI use-case intake and prioritization process: partner with each business unit to identify high-ROI AI opportunities, scope them properly, and execute with embedded AI support.
Build an AI talent strategy: define hiring profiles for AI engineers and applied AI roles, design technical interview processes, and develop retention programs for top AI talent.
Foster a culture of responsible AI experimentation: psychological safety to try and fail fast, coupled with rigorous post-mortems and knowledge sharing across BUs.
What We Look For In You
10+ years in AI / deep learning, with at least 5 years in a senior leadership role (Director+ or equivalent at a top-tier tech company, high-growth startup, or leading AI lab).
Demonstrated track record of shipping production AI systems that directly impacted business outcomes at scale (revenue, engagement, efficiency).
Deep expertise across the modern AI stack: large language models, transformer architectures, RAG, fine-tuning, RLHF/DPO, prompt engineering, and agentic AI frameworks.
Strong publication record, open-source contributions, or recognized thought leadership in the AI community (conference talks, technical blog posts, courses, or widely-adopted tools).
Exceptional communication skills: ability to present complex technical concepts to board-level audiences and translate business needs into technical specifications.
Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Nice to Haves
Experience in fintech, crypto/blockchain, or regulated industries with complex compliance requirements.
Hands-on experience building AI-native products in consumer-facing, high-throughput environments (millions of daily active users).
Track record of driving company-wide AI adoption initiatives — not just team-level, but organization-wide cultural and process transformation.
Experience building or contributing to open-source AI tools, frameworks, or educational content adopted by the broader community.
Familiarity with AI regulatory landscapes across multiple jurisdictions (US, EU AI Act, APAC frameworks).
Published author or recognized educator in AI (books, widely-read technical blogs, MOOCs, or workshops).
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status.
#LI-VW1 #ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: United States
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: United States
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: Canada
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: Canada
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: India
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: India
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: New Zealand
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: New Zealand
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: Australia
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: Australia
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: Philippines
Workplace: remote
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Are you detail-oriented and curious about tech?
Welo Data is building a global network of linguists, language enthusiasts, and culturally aware contributors to shape safer, smarter AI.
By joining our talent community, you'll be first in line for flexible, remote projects in annotation, evaluation, and prompt creation—always on your terms.
Note: This is not an active job opening. By applying, you'll join our global contributor network. When a project aligns with your skills and availability, we'll reach out with all the details, including scope, timeline, and compensation.
What You'll Need
- Native or near-native fluency in English
- Based in: Philippines
- Comfortable with digital tools
- Detail-oriented and curious
Why Join Us?
🚀 Limitless You – Work when and where you want, with room to grow
🤖 Limitless AI – Contribute to smarter, more inclusive AI
🌎 Be Part of Us – Join a global, supportive community
About our projects:
Welo Data projects vary by scope and complexity, but all play a role in building more accurate, inclusive, and human-centered AI.
Depending on your skills, you might:
📝 Annotate or label text, images, or audio to train AI systems
🔍 Evaluate search results, ads, or chatbot responses for quality and relevance
💬 Create and test prompts to improve large language models (LLMs)
🌍 Ensure content reflects cultural, linguistic, or industry-specific accuracy
Some projects last a few days; others may extend over several weeks. Before each one, you'll receive clear details on tasks, timelines, and compensation, so you can decide what works best for you.
How to Apply?
Click the “Apply” button on our website to fill out a short form and join our talent database. It only takes a few minutes to get started and become part of our growing community.
📬 Questions?
If you have any questions about the process, feel free to contact us at TalentRequests@welocalize.com .
Location: Hong Kong, Hong Kong SAR
Who we are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
The AI Engineering team is responsible for integrating different AI models with different business lines. You'll need to understand how these models function in diverse domains and develop efficient integration solutions. This team is building the company's crawler platform, supporting multiple areas such as Compliance, Trading, Financial Products, and Business Intelligence.
What You’ll Be Doing
Understand different AI models’ feature
Understand different business domains’ feature
Provide integration solutions for AI models into the business domain
Maintain systems’ high availability and high throughput
Improve technology best practices and code reviews for peers
Build and maintain various AI infrastructure / platform
What We Look For In You
Bachelors in Science / Technology / Engineering / Mathematics
Experience in AI Agent / RAG engineering solutions
Experience in Microservices / API development with Java/SpringBoot/SpringCloud/Python/Langchain
Knowledgeable in multi-threading and distributed architecture. Understanding of mainstream messaging frameworks including Kafka etc. Knowledge of different databases including vector DB
Nice To Have
Experience with AI models
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
The Chinese Growth Center drives growth across Chinese-speaking markets. This role sits close to the center of decision-making, supporting the Head of CGC directly on high-priority cross-functional initiatives.
The immediate focus is the practical application of AI in business operations — identifying where AI can drive real productivity gains, and making it actually happen. Beyond the AI workstream, this role will evolve to cover other strategic initiatives over time.
This is a role for someone who takes ownership end-to-end. You will be expected to get your hands dirty, move fast, and deliver — not just coordinate.
What You’ll Be Doing
Drive the full lifecycle of AI initiatives hands-on — from scoping and tool research to solution design, testing, and rollout
Work across teams to embed AI tools into real business workflows and track measurable outcomes
Identify blockers early and solve them proactively, without waiting to be directed
Stay current on emerging AI tools and synthesize findings into repeatable best practices for the team
Own progress tracking and delivery management for key initiatives, keeping milestones on track and quality high
Build lightweight dashboards and reporting to keep the Head of CGC informed and decisions moving
Pick up new initiatives quickly, build context fast, and deliver in ambiguous or fast-changing situations
Surface collaboration friction across teams and drive alignment where needed
What We Look For In You
Bachelor's degree or above
Deep AI User, with practical experience using AI tools (e.g. ChatGPT, Claude, Cursor, Midjourney) — able to speak to specific use cases and outcomes
Strong ownership and hands-on ability to work steadily under pressure, managing multiple workstreams in parallel and still deliver quality
Clear communicator who is able to collaborate and convey work process well to various stakeholders
Proficiency in English as a working language, and fluent in Mandarin in order to service Mandarin-speaking clients (as required in the role)
Nice to Haves
Experience in internet, content, e-commerce, or growth-related roles
Background in cross-functional project management or initiative delivery
Hands-on with Prompt Engineering or workflow automation tools (Make, Zapier, n8n)
Familiarity with Chinese-speaking market dynamics and user behavior
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: APAC
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are seeking an
AI Infrastructure Engineer
to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable
long-term memory
,
knowledge graph infrastructure
, and robust
context management systems
.
You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems.
What You’ll Be Doing
Architect and implement long-term memory infrastructure for AI agents
, including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning.
Design and own end-to-end GraphRAG and knowledge graph pipelines
, from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems.
Build scalable context management infrastructure
, elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning.
Translate advanced agent research into production-grade systems
, prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability.
Ensure reliability, observability, and governance of agent infrastructure
, including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least
10 years of industry experience
.
Possess a deep expertise in at least one of the following areas:
long-term memory
,
knowledge graphs
, or
context management
.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Philippines
Workplace: remote
Contract Type: Freelance
Language: English (Philippines)
About the Role
We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.
What You Will Do:
- Review and label content for sentiment, factual accuracy, and reasoning issues.
- Evaluate model outputs across quality dimensions using scoring frameworks.
- Validate automated assessments and identify discrepancies or errors.
Requirements:
Advanced English proficiency (reading and writing) with professional-level fluency.
Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications.
Previous experience in data annotation, AI training, or related projects.
Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains.
Exceptional attention to detail and accuracy.
Proven analytical reasoning and critical thinking abilities.
Consistency in decision-making across high volumes of tasks.
Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).
Задачи:
— Разработка и поддержка кода с использованием AI-агентов (Claude Code, Cursor, OpenAI Codex и др.).
— Рефакторинг AI/ML и CV-компонентов в условиях гетерогенной среды (Go / C++ / Python).
— Быстрое прототипирование гипотез и внедрение новых алгоритмов.
— Интеграция ML-моделей в микросервисную архитектуру (gRPC / Kafka).
— Оптимизация инференса и работа с high-load системами.
Требования:
— Уверенный уровень Python, опыт разработки AI/Computer Vision решений.
— Знание алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting), опыт работы с PyTorch, OpenCV.
— Практический опыт работы с AI Tools: Claude Code, Cursor, Antigravity или аналогами, понимание workflow VibeCoding.
— Опыт production-развёртывания ML-сервисов (FastAPI, Docker, gRPC), понимание микросервисной архитектуры (Kafka).
— Готовность работать в окружении с Go и C++ (чтение, интеграция, базовое понимание).
— Понимание и применение SDD (Specification-Driven) и TDD подходов.
— Умение быстро прототипировать и проверять гипотезы.
— Опыт работы с технической документацией и умение создавать её.
Преимущества:
— Опыт оптимизации inference для мобильных и серверных сред.
— Опыт работы с облачной инфраструктурой GCP.
— Понимание специфики AR/VR разработки.
Условия:
— Режим оформления: ТК/ИП
— Удаленная работа
— Гражданство РФ
Location: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.
We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.
Note: between 20 - 40% travel anticipated
In this role, you will:
- Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies
- Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance
- Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production
- Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution
- Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams
- Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization
- Travel up to 20–40% to work on-site with customers and partners
You may be a good fit if:
- You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code
- You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute
- You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks
- You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency
- You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs
- You have experience owning the full scope of a use case end-to-end
- You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting
It's a bonus if you have:
- Experience setting architectural standards for AI and agentic systems across distributed teams
- Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it
- Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)
- Experience with enterprise security, compliance, or auditability requirements for AI systems
We are open to candidates currently based in the Middle East or who are open to travelling or relocating.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
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Скрытые компании и отметки о просмотре ещё не подключены.
О ПРОЕКТЕ
Мы строим передовую аналитическую платформу на базе AI для экосистемы Solana. Наша система обрабатывает миллионы транзакций в реальном времени, предоставляя трейдерам и институционалам глубокую аналитику: Wallet Intelligence (скоринг поведения), Token Health (ликвидность, манипуляции), детектирование аномалий (фрод, rug pull) и предиктивные прогнозы на базе ML.
О ПОЗИЦИИ (ABOUT THE ROLE)
Вам предстоит проектировать и внедрять интерфейсы для систем с низкой задержкой (low-latency). Основной фокус — визуализация сложных потоков данных, создание умных алертов и аналитических дашбордов, которые работают непрерывно в распределенной среде.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Разработка: Создание масштабируемых веб-приложений на React/Next.js и TypeScript.
— Real-time системы: Реализация UI-паттернов для живых данных (WebSockets, SSE, оптимизированный поллинг).
— Визуализация: Разработка переиспользуемых компонентов для графиков, таблиц, фильтров и таймлайнов.
— Оптимизация: Работа с производительностью для часто обновляемых тяжелых датасетов (виртуализация, мемоизация).
— Инфраструктура: Участие в развитии дизайн-системы и тесное взаимодействие с бэкенд-командой по части API-контрактов.
— Качество: Проработка состояний кэширования, обработки ошибок и обеспечение кроссбраузерности.
ТРЕБОВАНИЯ К КАНДИДАТУ
— Стек: Уверенное владение JavaScript/TypeScript, React и современным Frontend-инструментарием.
— Опыт: Подтвержденный бэкграунд в создании Dashboard-систем или приложений с высокой плотностью данных.
— Технологии: Опыт интеграции REST API и эффективного управления состоянием на стороне клиента.
— Performance: Глубокое понимание оптимизации (lazy loading, memoization) и работы с Tailwind / CSS Modules.
— Soft Skills: Способность работать автономно и полностью «владеть» фичами от идеи до продакшена.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are looking for a
Principal AI Engineer
to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases.
This is a hands-on technical role focused on building
intelligent, autonomous chatbot systems
operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms.
What You’ll Be Doing
Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases.
Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization.
Design multi-level intent routing, classifier training, and fallback strategies.
Building dialogue quality evaluation systems.
Drive automated bad-case discovery, A/B testing, and continuous iteration loops.
Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain.
What We Look For In You
PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least
10 years of industry experience
.
Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies.
Proven experience deploying
large-scale conversational products
(To Business or To Consumer) in production environments.
Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation.
Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.).
Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks.
Nice to Haves
Experience in top-tier AI labs or Tech industry leaders
Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage
Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed
OKX Statement
The salary range for this position is
$250,444.00 to $375,666.00.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
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OKX
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Singapore, Singapore
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.