Location: Barcelona, Spain
Appodeal
is a dynamic US-based product company with a truly global presence.
We have offices in
Warsaw, Barcelona and Parkland (FL),
along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
Why Appodeal?
At Appodeal, we’re more than just a company—we’re a team united by a common mission:
Help people discover and grow their talents through products that enable successful mobile app businesses!
We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.
Here’s what we value, and what we hope you do too:
Seek the Truth and Say It with Care:
We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t.
Leverage Data to Build Product:
Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them.
We Work Together to Serve Others:
No closed doors between teams. We share what we learn and win as one company first.
Insist on Higher Standards:
We don’t settle for “good enough”. We question it and push for better.
Passionate Curiosity Fuels Perseverance:
We ask “why”, take on ambiguous problems and keep going when they get hard.
Lean Startup Mentality: Start Small, Iterate Quickly:
Think big, ship an MVP first and learn fast. No big-bang releases.
Ownership and Accountability:
We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn.
About the role
Our gaming business builds and scales a portfolio of casual, ad-monetized evergreen games (cards, words, puzzles, board games) from Barcelona. We’re rebuilding it as an
AI-native team
: instead of departments and management layers, we work in small squads, and each squad runs like a small studio that owns 1–3 games end to end: product, UA and monetization together. The reporting, coordination and analysis that used to need middle managers are handled by shared data and LTV models, AI agents and automation.
The model follows
"From Hierarchy to Intelligence"
by Jack Dorsey (Block) and Roelof Botha (Sequoia Capital), and uses a few simple roles:
Builder (IC):
everyone builds.
DRI (Directly Responsible Individual):
owns one result end to end, has real authority over the squad’s effort and picks the team. It’s a role, not a rank.
Player-coach:
sets the standard of a discipline for all squads and makes their expertise easy to reach. A coach is accountable for the standard and for being available, not for other people’s numbers or growth.
Advisor:
brings outside expertise without owning a result.
This seat is the player-coach for ad monetization, filled as an advisor.
It’s an advisory engagement, not employment: part-time, fully remote, with scope and hours agreed together. You won’t own a squad, a team or a revenue number. The squad DRIs own their results, and you raise the monetization craft they work with.
Why this seat exists:
Monetization is set up game by game, by people with very different backgrounds, and on the same users our titles still earn less than the best competitor in each genre. We want senior, market-calibrated monetization standards and a person every squad can consult and learn from.
Responsibilities:
Set and keep the ad monetization standards every squad works to.
Review and challenge the squads’ roadmaps from a monetization angle against the best casual evergreen titles, and bring in mechanics we haven’t tested.
Make expertise easy to reach: regular office hours with squad DRIs and builders, config and experiment reviews, and written playbooks with real examples.
Where it helps, open doors to ad networks, DSPs and exchanges relevant to casual gaming.
Speak up when a standard isn’t followed.
What this role is not:
Not a head of a monetization department and not a manager: no direct reports and no team to build.
Not accountable for squad or portfolio profit, and not asked to commit to it: each squad’s DRI owns their result. You’re accountable for the standards and for being available in the agreed hours.
Requirements:
Proven, hands-on experience leading monetization for casual, ad-monetized mobile games (cards, words, board, puzzle or similar evergreen genres). General ad-tech, mediation sales or IAP/midcore monetization backgrounds on their own aren’t enough.
A track record of building a fast, rigorous experimentation culture (A/B tests, waterfall optimization, segment-level configs) with measurable business impact.
Deep ad-tech knowledge: mediation (MAX, AdMob, in-house), bidding, waterfalls, floors and ad quality.
Strong existing relationships with ad networks, DSPs and exchanges in casual gaming.
Comfortable working from shared data and LTV models, with AI agents and automation, rather than through an analytics team.
You can explain standards so that DRIs and builders from other disciplines can apply them.
Format:
Advisory, part-time, fully remote, with no office visits.
Scope, hours and terms agreed together.
A good fit if you’re not looking for a full-time move but want to share what you know.
Why Join Us?
You’ll shape how a whole portfolio of games makes money, without a full-time commitment.
Your advice goes straight into live games, and you’ll see the results.
You’ll work with squads that want to learn and move fast.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us
and help shape the future of mobile app success!
Location: Los Angeles, USA
At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches.
As a
Staff Machine Learning Engineer
in League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking.
You will report to the Data Engineering Director in League of Legends and operate as a deeply embedded technical partner to the game team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline.
Responsibilities:
Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration.
Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team.
Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context.
Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints.
Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features.
Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks.
Design and run experiments to evaluate model quality, player impact, and system tradeoffs.
Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed.
Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight.
Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings.
Help establish robust monitoring, observability, and support practices for live ML systems as they scale.
Required Qualifications:
Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles.
Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems.
History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply.
Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction.
Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
Excellent written and verbal communication.
Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus.
Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus.
Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus.
Passion for player experience, games, or creative technology.
Desired Qualifications:
Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products.
Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals.
Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences.
Experience integrating models into latency-sensitive or high-reliability production environments.
Experience defining telemetry or instrumentation needs in close partnership with software engineers.
Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness.
Comfort collaborating across a central craft organization and an embedded product team model.
For this role, you’ll find success through:
Strong applied ML craft
Independent execution in ambiguous spaces
Thoughtful collaboration with product, design, engineering, and Insights partners
Decision-making that prioritizes player value and long-term system health
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Department overview:
At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The
CLV team
focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value.
As a
Data Scientist
, you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value.
This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making.
What you’ll be doing:
Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value.
Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact.
Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement.
Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs.
Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights.
Clearly communicate findings and recommendations to both technical and non-technical audiences.
Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems.
What we are looking for:
You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems.
Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
Experience working with large datasets to generate actionable insights.
A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).
Nice to Have:
Familiarity with production environments, MLOps, or data pipelines.
Experience working with large-scale data using PySpark or equivalent distributed data processing tools.
Experience in gaming, e-commerce, or subscription-based products.
Benefits:
Discretionary bonus opportunity
Private Medical Insurance
Dental Scheme
25 days holiday per year
On Site Gym
Subsidised Café
Free soft drinks
On site bar
Access to cycle garage and showers
Please refer to our
Candidate Privacy Notice
for more information about how we process your personal information, and your data protection rights.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Shanghai
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Senior Backend Engineer who is systems-minded, detail-oriented, and passionate about building scalable infrastructure to join our Platform Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and own the server-side architecture of a white-label game distribution platform, tackling challenges in multi-tenancy, large-file delivery, and high-concurrency systems.
Strong command of GoLang and solid experience in microservices and distributed systems are essential, along with experience in building backend services for content distribution, app stores, or gaming platforms. The ability to collaborate with cross-functional teams and drive technical decisions on performance, security, and observability will be key to your success in this role.
If you’re passionate about building robust, high-performance backend systems that power game distribution at scale and love solving complex infrastructure problems in the gaming ecosystem, we would love to hear from you!
Responsibilities
Design, build, and maintain the backend services for the game distribution platform, with a highly available and scalable server-side architecture
Design and implement a multi-tenant architecture supporting data isolation
Design and implement the storage and delivery solution for large game files (object storage / CDN, signed download URLs, resumable downloads, version management)
Build backend APIs and permission systems for the operations admin panel and publisher portal
Design and deliver the search solution (e.g., Elasticsearch) to power full-text search and filtering of games
Ensure system performance, concurrency, security, and observability (monitoring, logging, alerting)
Game industry experience required
On-site position only (remote work not available)
Requirements
Degree in Computer Science or a related field, with 5+ years of backend development experience
Strong command of GoLang
Proficiency with AI coding tools (Claude Code, Gemini, etc.)
Solid RESTful API design skills; familiar with microservice architecture
Familiar with relational database (MySQL/PostgreSQL) design and optimization; knowledge of NoSQL (Redis, etc.)
Familiar with message queues (Kafka/RabbitMQ), caching, and other middleware
Solid engineering fundamentals: coding standards, unit testing, Git, CI/CD
Nice to have
Understanding of the Chinese gaming industry and experience in Chinese game building, publishing, or operation on major Chinese gaming platforms
Experience in backend development for games or game platforms
Familiarity with server-side integration of game SDKs (accounts, in-app purchases, real-name verification)
Familiarity with in-app purchase (IAP), virtual goods, and order management
Experience with multi-tenant SaaS / white-label platform architecture
Familiarity with Elasticsearch
Experience designing and optimizing high-concurrency, high-traffic systems
Experience with app stores or content/game distribution platforms
Knowledge of object storage and CDN, with experience in or awareness of large-file / high-concurrency delivery
Note: Less experienced candidate could be considered as middle-level developer.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Shanghai
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators.
Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.
Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role.
If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you!
Responsibilities
Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI.
Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews.
Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management).
Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding.
Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage.
Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews.
Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews.
Game industry experience required
On-site position only (remote work not available)
Qualifications and Skills
Degree in Computer Science or a related field, with 5+ years of native Android development experience.
Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents).
Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus).
Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture.
Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage.
Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management.
Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions.
Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub).
Proficiency with AI coding tools to boost development productivity.
Nice to have
Understanding of the Chinese gaming industry, game app characteristics, and player needs.
Experience in game development, publishing, or operations on major Chinese gaming platforms.
Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles).
Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification).
Note: Less experienced candidates could be considered as middle-level developers.
Job Description
This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required.
Privacy Notice & Data Processing Consent
By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping.
In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL):
Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla.
Sensitivity: We will handle your personal information with a high duty of care.
Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us.
If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data.
Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Ho Chi Minh City, Vietnam
Workplace: remote
ABOUT YOU
We are looking for a Country Manager – Vietnam (HCMC-based) who is entrepreneurial, relationship-driven, and deeply embedded in Vietnam’s gaming and digital entertainment ecosystem to join our global leadership team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build and own Xsolla’s market presence in Vietnam from the ground up.
Strong business development, stakeholder management, and operational skills are essential, along with experience in gaming, digital payments, or fintech in Vietnam or Southeast Asia. The ability to navigate local regulatory environments, grow a partner network, and translate global product strategy into regional success will be key to your success in this role.
If you’re passionate about shaping the future of how games are published and monetized in Vietnam and love being at the intersection of gaming, payments, and platform infrastructure, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Own and drive Xsolla’s commercial performance in Vietnam, including revenue growth, partner acquisition, and market share targets
Build and expand relationships with game publishers, developers, and platform operators across Vietnam
Lead local go-to-market strategy for Xsolla’s full product suite — including Webshops, the Merchant of Record service, and X.LA country pages
Represent Xsolla externally at industry events, in partner meetings, and with local regulatory and government stakeholders
Ensure all business activities comply with Vietnamese laws, including gaming regulations, taxation, data privacy, and payment licensing requirements
Identify and close new business opportunities with game studios, publishers, and digital entertainment companies
Collaborate with global product, engineering, and marketing teams to adapt Xsolla solutions to Vietnamese market needs and preferences
Build and mentor a local team as the Vietnam operation scales
Provide structured reporting on country performance, including partner growth, monetization metrics, and strategic insights
Serve as the primary point of contact for Xsolla headquarters on all matters related to the Vietnamese market
Qualifications & Skills
Required:
10+ years of professional experience in gaming, digital payments, fintech, or digital entertainment in Vietnam or Southeast Asia
Deep knowledge of Vietnam’s gaming market — publishers, regulatory landscape, payment infrastructure, and major platform operators
Proven track record of business development and commercial success in a senior individual contributor or leadership role
Strong network within Vietnam’s gaming and tech ecosystem
Excellent verbal and written communication skills in Vietnamese and English
Strong negotiation, analytical, and problem-solving skills
Comfort operating with autonomy in an entrepreneurial, high-growth environment
Preferred:
Experience building and leading a country or regional team
Prior experience with merchant of record, payment platforms, or game commerce
Background at a publisher, platform operator, or digital entertainment company
Understanding of mobile gaming business models and monetization strategies
Experience navigating government relations and regulatory compliance in Vietnam
Established relationships with Vietnamese game developers and publishers
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: United Arab Emirates; Cyprus; Portugal; Spain; United States; Serbia
Лицензированная платформа для off-ramp криптопроцессинга, работающая на рынке с 2011 года. Компания предоставляет B2B-услуги по переводу цифровых активов в фиат для глобальных мерчантов. Основной фокус — high-risk вертикали (SSP/adtech, gaming, adult), при этом портфель активно расширяется в сегменты gambling, люкс-брендов и IT-сервисов. В штате — 15 профессионалов, головной офис находится в Санкт-Петербурге, также есть представительство на Кипре (Лимассол). Компания предлагает прозрачные и надежные решения для бизнеса, работающего с международными переводами.
Задачи
Активный поиск и привлечение новых B2B-клиентов (мерчантов) в сегментах high-risk (adtech, gaming, adult, gambling, люкс, IT-сервисы).
Проведение полноценных переговоров с C-level и финансовыми директорами потенциальных партнеров.
Презентация решения по off-ramp криптопроцессингу, аргументация выгод сотрудничества.
Заключение контрактов и передача подписанных клиентов в аккаунтинг-отдел для дальнейшего сопровождения (модель «охотника»).
Выход на международные рынки с фокусом на крупные хабы (Кипр, Дубай, Лиссабон, Барселона, США).
Requirements
Опыт работы:
Успешные B2B-продажи от 3-х лет в сфере крипто-процессинга, платежных систем или финтеха.
Навыки переговоров:
Свободное владение английским языком на уровне
C1 (обязательно)
для ведения переговоров с иностранными стейкхолдерами.
Знание рынка:
Глубокое понимание специфики high-risk вертикалей (adtech, gaming, adult, gambling).
Самостоятельность:
Готовность работать полностью автономно, без длительного онбординга и плотного контроля.
Личные качества:
Агрессивный «охотник», ориентированный исключительно на холодные продажи и привлечение новой клиентской базы.
Языки:
Русский — C1/Родной (обязательно), Английский — C1 (обязательно).
Бонусом:
Наличие действующей клиентской базы среди потенциальных мерчантов.
Benefits
График и локация:
Полностью удаленная работа. Приоритетные локации для кандидатов — Кипр, Дубай, Лиссабон, Барселона, США.
Заработная плата:
Фиксированная часть: ~$2 000+/мес (уровень варьируется в зависимости от локации кандидата).
Бонусная часть
от маржи
приведенных клиентов в первый год сотрудничества.
Вознаграждение: Символический процент от дохода клиента пожизненно после первого года работы.
Карьерная траектория:
Возможность масштабировать свое влияние на новые вертикали и географии в растущем бизнесе.
Процесс отбора
Ознакомительное интервью.
Техническое интервью.
Финальное интервью (или сразу оффер).
Язык интервью:
Русский (с обязательной проверкой уровня английского C1).
УдалённоUnited Arab Emirates; Cyprus; Portugal; Spain; United States; Serbia; В штате — 15 профессионалов, головной офис находится в Санкт-Петербурге, также есть представительство на Кипре (Лимассол)
Location: Georgia
Workplace: Hybrid
Our Professional Services team is expanding!
We are looking to hire a Senior Solutions Consultant in Georgia. This role offers a unique opportunity to combine technical aptitude, business skills, supply chain knowledge, and face-to-face client interaction in an exciting software consulting career. The position allows you to partner directly with industry-leading customers to help them achieve supply chain and business success.
Our Senior Solutions Consultants have the opportunity to work in a variety of industries, including consumer goods, food & beverage, third-party logistics, transportation and shipping, and more!
Solutions Consultants are the customer’s primary point of contact through the implementation of Bright Suite of solutions:
Bright Warehouse: Warehouse and Distribution Management
Bright Order: Distributed Order Management
Bright Source: Sourcing and Procurement
Bright Store: Inventory Management and Point of Purchase
Bright Socket: Software Integrations
Bright Performance: Business Reports and Dashboards
Bright Forecast: Demand Planning and Forecasting
Bright Inventory: Inventory Planning
What You'll Do
- Primary activities will include: Configuration, testing, issue resolution, and implementation support.
- Collaborate with clients to solve challenging business requirements
- Analyze and resolve issues that arise throughout the implementation. Works with analysts to resolve technical issues.
- Performs testing of client-specific enhancements promptly.
- 25-50% travel required. A portion of your time will be spent on-site working directly with the customer’s project team.
What You'll Need
- Bachelor of Science degree in Engineering, Computer Science, Supply Chain Management, Management Information Systems, or related technical degree, with a minimum overall grade point average (GPA) of 3.03
- 3 years of experience developing, supporting, or implementing application software
- Must possess an understanding of supply-chain management
- Experience in troubleshooting and developing SQL queries using relational databases.
- Experience in XML and JSON file formats.
- Excellent communications and task management skills.
- Enthusiastic and positive attitude
- Ability to work and collaborate with team members both technically and functionally in nature.
- Self-motivated and hungry to learn
- Ability to handle multiple projects and tasks simultaneously
- Must be able to travel approximately 20%.
- Position located in Alpharetta, GA
Perks
- Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry
- Coffee bar with cold brew on tap and a full time barista
- Standing desk (if you’re into that sort of thing)
- Corporate events, including food trucks, Top Golf, and other shenanigans
- Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner
- Benefits package including health care, paid time off, life insurance, 401 (k) plan (with match), and gym reimbursement
- Be part of a team recognized 5 years running as an AJC Top Workplace!
Location: Remote
Workplace: remote
Location: Based in Norway/Europe | Hours: Approx. 15-30 hours/month | Language Focus: Norwegian (Norway)
About Fanatee
Fanatee is one of the world's leading mobile gaming companies, reaching millions of players through fun, engaging word and puzzle experiences. Our portfolio includes popular titles such as CodyCross, a globally successful crossword game available in multiple languages and enjoyed by players around the world.
At Fanatee, we combine creativity, language, and technology to create games that entertain, challenge, and inspire. We work with a diverse international team and value cultural authenticity, linguistic quality, and player-focused content.
About The Role
Fanatee is seeking a detail-oriented and culturally fluent Editor to refine and validate content for the Norwegian-speaking market. This is a remote, part-time freelance role. We are specifically looking for candidates based in Norway or Europe, with a strong understanding of local language usage, cultural references, and regional nuances as used by Norwegian-speaking players.
Responsibilities
Review and validate in-game content, ensuring it reflects Norwegian local cultural nuances
Curate culturally relevant references, sayings, and themes for localized features
Provide feedback and editorial insights to improve the player experience
Collaborate with the content team to define and maintain editorial standards for Norwegian
Requirements
We prefer to hire someone who currently lives in Norway (or elsewhere in Europe) and is fully immersed in local Norwegian culture, trends, and idioms
Fluency in Norwegian and conversational English proficiency are required
Strong command of Norwegian grammar, spelling, and usage
Deep familiarity with Norwegian expressions, slang, media, and pop culture
Degree in Communications, Linguistics, Norwegian Language, Writing, or a related field is preferred
Prior experience in content editing, localization, or game content is a plus
Passion for word games, language, and cultural storytelling
Excellent attention to detail and communication skills
Why Join Us?
At Fanatee, we love what we do — building games that connect and entertain millions. We work with talented, passionate people and offer an opportunity to contribute creatively while learning and growing in a supportive, fun environment.
Ready to join us? Apply now and help shape a game experience that truly speaks to players.
Final hourly fee will be based on level of experience.
УдалённоНорвегия; We are specifically looking for candidates based in Norway or Europe, with a strong understanding of local language usage, cultural references, and regional nuances as used by Norwegian-speaking players
Location: Paris
Workplace: Remote
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Voodoo’s Growth team is responsible for turning our games into successful products, combining user acquisition, creative, monetization, and data.
Within Growth, the Playable Ads team turns our games into short, interactive experiences designed to make players stop, play, and want more. Working closely with playable developers and creative teams, we design, produce, test, and iterate on playable ads across our 20+ game portfolio.
ROLE
Your goal will be to make someone stop-scrolling, understand a game, enjoy playing it, and want to discover more: all within a few seconds. You’ll coordinate creative production with internal and external teams, improve performance, and drive innovation.
Managing your own portfolio of games, you will:
- Deconstruct games into their most engaging moments: understand core loops, player motivations, difficulty curves and “aha” moments, then identify what can be turned into a compelling playable ad.
- Design playable concepts from scratch: come up with interactive experiences that capture the essence of a game in seconds, balancing gameplay depth, accessibility, pacing and curiosity.
- Think like both a game designer and a growth strategist: make creative decisions with a clear hypothesis around player behavior, then use performance data to understand what actually drives engagement.
- Write sharp gameplay briefs: translate ideas into clear mechanics, flows, difficulty progressions and player journeys that developers and production partners can execute.
- Work closely with developers and creative teams: guide production from the first concept to the final playable, making sure the gameplay feels intuitive, satisfying and true to the original game.
- Iterate relentlessly: analyze performance, identify where players drop off or engage, and turn those learnings into the next, better version.
PROFILE
We’re open to different backgrounds. What matters most is your ability to understand what makes a game engaging, turn insights into strong creative concepts, and drive them through production.
- You have a strong understanding of gameplay, player behavior, creative strategy, or growth, and know how to turn insights into actionable ideas.
- You have strong analytical and problem-solving skills, with the ability to benchmark markets, identify trends, formulate hypotheses, and turn them into creative strategies.
- You have excellent project management skills and can turn ideas into clear briefs, align internal and external stakeholders, and drive projects from concept to execution.
- You have a sharp creative eye and can articulate why a concept, mechanic, or design choice works (or doesn’t).
- You have a strong interest in mobile games and apps, and enjoy understanding what makes players engage within seconds.
- You’re entrepreneurial, autonomous, and comfortable in a fast-paced environment, with a strong bias towards testing, learning, and iterating.
- Hands-on experience with AI creative tools (Scenario, Seedance, Kling, Veo, Runway, etc.) is a plus.
- Experience with playable ads, game production, or third-party creative partners is a plus.
- You are fluent in English.
BENEFITS
- Competitive salary and other benefits according to the country you reside in.
Full remote for candidates based abroad, with relocation to Paris subject to discussion. Hybrid for candidates based in France.
Location: Bulgaria; Romania; Malta Office; Gibraltar Office; Georgia; Isle of Man
Workplace: Remote
We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it.
THE ROLE
We run the creative function for retention at a multi-brand iGaming company. That means high-volume, high-frequency output — emails, push notifications, in-app messages, onsite banners — produced for segmented player audiences across multiple brands, all at the same time. This is a marketing creative leadership role, not a product or UX design role. You will lead a team of Digital Designers producing retention marketing assets across four brands and multiple CRM channels — not app or product interfaces.
The Design Team Lead owns the quality and consistency of that output. Not by reviewing everything personally, but by building the systems, standards, and team capability that make good work the default. This is as much an ops-and-systems role as it is a creative leadership role. If you're energized by turning "we eyeball it every time" into "we have a standard for that," this is the job.
WHAT YOU WILL OWN
Brand systems that actually get used
Our brands are fragmented today. You'll build the documented visual systems — templates, component libraries, per-brand rules, practical "do this, not that" guidance — that designers reach for rather than work around. When the system is good, consistency stops being something we police and becomes the default.
Repeatable production at scale
Multiple designers producing work across four brands and CRM channels need modular templates, clear briefing standards, and clean versioning. You'll build and maintain those foundations. Just as importantly, you'll convert the feedback you keep repeating into checklists and onboarding material — so nobody gives the same note twice.
AI that produces on-brand results, not surprises
We already use AI heavily; the results aren't predictable enough. You'll put structure around it: per-brand prompt libraries, locked reference styles, clear review checkpoints, and training on how to take a raw AI output and finish it to a genuinely on-brand standard.
Quality that can be measured
You'll define what "on-brand and high quality" means for each brand, track simple signals like first-pass approval rate and rework volume, and catch delivery or quality risks before they hit send dates. You'll also keep improving how the team works — processes, tools, handovers — without waiting to be asked.
A team that feels clear and supported
Regular 1:1s, honest consistent feedback, and being the person designers come to when they're stuck. You'll monitor workload alongside the Traffic Manager, contribute to hiring, and make sure new designers land well and ramp fast.
WHAT SUCCESS LOOKS LIKE
- Our brands feel like systems, and the work looks consistent wherever it shows up.
- Designers work to shared standards, so the same feedback isn't going round in circles.
- Work ships with reliable quality and far less rework.
- AI is a dependable part of how we create, not a gamble.
- The team feels supported, knows what good looks like, and trusts their own judgement.
WHAT WE’RE LOOKING FOR
- A direct, easy communicator who does well in a fast-moving, remote team.
- 5+ years of professional digital design experience, with a strong portfolio of digital work.
- A track record of building systems, such as templates, brand guidelines, component libraries, or repeatable processes, not just strong one-off work.
- Experience mentoring or supporting other designers; leadership is a big plus, not a must.
- A sharp eye for detail and the ability to give feedback that is clear, kind, and useful.
- Hands-on experience taming AI creative tools, or a strong point of view on how you would.
WHY YOU WILL LOVE IT
You'll thrive in our high-pace, high-growth environment where your curiosity directly shapes million-dollar decisions. Every insight you uncover translates into real business impact, while you build and lead a team that thinks strategically about the brands they own. You'll have the freedom to innovate your approach to analysis while working at the cutting edge of gaming analytics and machine learning.
Equal Opportunities Statement
We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking.
Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Michigan
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Massachusetts
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Rhode Island
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Nevada
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Minnesota
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - Wisconsin
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Los Angeles, USA
United Kingdom, London
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.
УдалённоFull remote for candidates based abroad, with relocation to Paris subject to discussion; Hybrid for candidates based in France
УдалённоleadBulgaria; Romania; Malta Office; Gibraltar Office; Georgia; Isle of Man; We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking
Автоотклики