Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.
This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
KEY RESPONSIBILITIES
- Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.
- Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.
- Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.
- Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.
- Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.
- Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.
QUALIFICATIONS
- Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
- Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.
- Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
- Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
- Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.
- Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
KEY RESPONSIBILITIES
- Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
- Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
- Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
- Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
- Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
- Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
- Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
QUALIFICATIONS
- 5+ years (Senior) or 8+ years (Staff) of software engineering experience.
- Strong experience building production data infrastructure systems.
- Hands-on experience with batch and/or streaming data processing at scale.
- Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
- Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
- Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
- Familiarity with data quality, lineage, observability, and governance tooling.
- Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
KEY RESPONSIBILITIES
- Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
- Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
- Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
- Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
- Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
- Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
- Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
QUALIFICATIONS
- 5+ years (Senior) or 8+ years (Staff) of software engineering experience.
- Strong experience building production data infrastructure systems.
- Hands-on experience with batch and/or streaming data processing at scale.
- Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
- Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
- Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
- Familiarity with data quality, lineage, observability, and governance tooling.
- Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: Warsaw
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We're Looking For:Product Owner to join our Marketing Team.As a Product Owner, you will drive the development of AI-powered marketing automation capabilities, including no-code and AI-driven marketing execution experiences. You will work on products that enable users to create, customize, and analyze marketing workflows using AI agents, automation engines, and modern MarTech integrations, helping shape the future of an AI-native marketing platform.Responsibilities:Collect and elaborate business requirements from customers, partners, the external community, and internal users.Organize and prioritize requirements within the company's information resources.Define and defend product concepts, including: grouping and detailing business requirements; developing go-to-market strategies; creating mockups using AI tools; collaborating on UX and UI design in conjunction with UI designers; producing presentation materials; drafting user stories; assigning tasks to technical writers to elaborate functionality within internal and public-facing company resources.Conduct market research focused on the MarTech landscape, including competitor analysis and evaluation of potential integration solutions, with the goal of continuously evolving the product into a best-in-class AI-native marketing platform.Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.Provide consultations to internal employees, customers, and partners on customizing the system to address business needs.Organize and conduct training sessions for company employees and clients on new release features.Requirements:3+ years of experience as a Product Manager or Product Owner, with proven end-to-end product development experience and strong expertise in the product discovery stage.Proficiency in collaborating and integrating with technology partners to deliver joint products.Experience collaborating with engineering teams on application architecture and contributing to informed architectural decisions.Profound understanding of the software development lifecycle.Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.Strong background in B2B product development, preferably within SaaS or platform-based solutions, with the ability to operate effectively at both strategic and detailed requirements levels.Deep expertise in the MarTech domain and marketing automation platforms, including: social media advertising platforms (Google, Meta, LinkedIn Ads); omnichannel marketing solutions (WhatsApp, SMS, etc.); APIs; third-party integrations; webhook-based event-driven architectures.Demonstrated experience identifying opportunities and shaping AI-driven product features, including AI-powered personalization, predictive analytics, and intelligent automation.Proven ability to independently deliver product prototypes, internal tools, or automation flows using AI-assisted development, going beyond concept creation.Preferred Qualifications:Proven track record of independently delivering AI-powered features from concept to production, not limited to ideation.Deep practical knowledge of the MarTech ecosystem, including hands-on experience building, configuring, or launching marketing automation solutions.Hands-on experience using AI coding and no-code tools to build prototypes and automate workflows independently.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Who We're Looking For
Product Owner
to join our Marketing Team.
As a Product Owner, you will drive the development of AI-powered marketing automation capabilities, including no-code and AI-driven marketing execution experiences. You will work on products that enable users to create, customize, and analyze marketing workflows using AI agents, automation engines, and modern MarTech integrations, helping shape the future of an AI-native marketing platform.
Key Responsibilities
Collect and elaborate business requirements from customers, partners, the external community, and internal users.
Organize and prioritize requirements within the company's information resources.
Define and defend product concepts, including: grouping and detailing business requirements; developing go-to-market strategies; creating mockups using AI tools; collaborating on UX and UI design in conjunction with UI designers; producing presentation materials; drafting user stories; assigning tasks to technical writers to elaborate functionality within internal and public-facing company resources.
Conduct market research focused on the MarTech landscape, including competitor analysis and evaluation of potential integration solutions, with the goal of continuously evolving the product into a best-in-class AI-native marketing platform.
Lead SCRUM activities with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions.
Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.
Provide consultations to internal employees, customers, and partners on customizing the system to address business needs.
Organize and conduct training sessions for company employees and clients on new release features.
Required Skills & Competencies
3+ years of experience as a Product Manager or Product Owner, with proven end-to-end product development experience and strong expertise in the product discovery stage.
Proficiency in collaborating and integrating with technology partners to deliver joint products.
Experience collaborating with engineering teams on application architecture and contributing to informed architectural decisions.
Profound understanding of the software development lifecycle.
Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.
Strong background in B2B product development, preferably within SaaS or platform-based solutions, with the ability to operate effectively at both strategic and detailed requirements levels.
Deep expertise in the MarTech domain and marketing automation platforms, including: social media advertising platforms (Google, Meta, LinkedIn Ads); omnichannel marketing solutions (WhatsApp, SMS, etc.); APIs; third-party integrations; webhook-based event-driven architectures.
Demonstrated experience identifying opportunities and shaping AI-driven product features, including AI-powered personalization, predictive analytics, and intelligent automation.
Proven ability to independently deliver product prototypes, internal tools, or automation flows using AI-assisted development, going beyond concept creation.
Preferred Qualifications
Proven track record of independently delivering AI-powered features from concept to production, not limited to ideation.
Deep practical knowledge of the MarTech ecosystem, including hands-on experience building, configuring, or launching marketing automation solutions.
Hands-on experience using AI coding and no-code tools to build prototypes and automate workflows independently.
What to expect from us
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Kyiv
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We're Looking For:Product Owner to join our Marketing Team.As a Product Owner, you will drive the development of AI-powered marketing automation capabilities, including no-code and AI-driven marketing execution experiences. You will work on products that enable users to create, customize, and analyze marketing workflows using AI agents, automation engines, and modern MarTech integrations, helping shape the future of an AI-native marketing platform.Responsibilities:Collect and elaborate business requirements from customers, partners, the external community, and internal users.Organize and prioritize requirements within the company's information resources.Define and defend product concepts, including: grouping and detailing business requirements; developing go-to-market strategies; creating mockups using AI tools; collaborating on UX and UI design in conjunction with UI designers; producing presentation materials; drafting user stories; assigning tasks to technical writers to elaborate functionality within internal and public-facing company resources.Conduct market research focused on the MarTech landscape, including competitor analysis and evaluation of potential integration solutions, with the goal of continuously evolving the product into a best-in-class AI-native marketing platform.Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.Provide consultations to internal employees, customers, and partners on customizing the system to address business needs.Organize and conduct training sessions for company employees and clients on new release features.Requirements:3+ years of experience as a Product Manager or Product Owner, with proven end-to-end product development experience and strong expertise in the product discovery stage.Proficiency in collaborating and integrating with technology partners to deliver joint products.Experience collaborating with engineering teams on application architecture and contributing to informed architectural decisions.Profound understanding of the software development lifecycle.Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.Strong background in B2B product development, preferably within SaaS or platform-based solutions, with the ability to operate effectively at both strategic and detailed requirements levels.Deep expertise in the MarTech domain and marketing automation platforms, including: social media advertising platforms (Google, Meta, LinkedIn Ads); omnichannel marketing solutions (WhatsApp, SMS, etc.); APIs; third-party integrations; webhook-based event-driven architectures.Demonstrated experience identifying opportunities and shaping AI-driven product features, including AI-powered personalization, predictive analytics, and intelligent automation.Proven ability to independently deliver product prototypes, internal tools, or automation flows using AI-assisted development, going beyond concept creation.Preferred Qualifications:Proven track record of independently delivering AI-powered features from concept to production, not limited to ideation.Deep practical knowledge of the MarTech ecosystem, including hands-on experience building, configuring, or launching marketing automation solutions.Hands-on experience using AI coding and no-code tools to build prototypes and automate workflows independently.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Who We're Looking For
Product Owner
to join our Marketing Team.
As a Product Owner, you will drive the development of AI-powered marketing automation capabilities, including no-code and AI-driven marketing execution experiences. You will work on products that enable users to create, customize, and analyze marketing workflows using AI agents, automation engines, and modern MarTech integrations, helping shape the future of an AI-native marketing platform.
Key Responsibilities
Collect and elaborate business requirements from customers, partners, the external community, and internal users.
Organize and prioritize requirements within the company's information resources.
Define and defend product concepts, including: grouping and detailing business requirements; developing go-to-market strategies; creating mockups using AI tools; collaborating on UX and UI design in conjunction with UI designers; producing presentation materials; drafting user stories; assigning tasks to technical writers to elaborate functionality within internal and public-facing company resources.
Conduct market research focused on the MarTech landscape, including competitor analysis and evaluation of potential integration solutions, with the goal of continuously evolving the product into a best-in-class AI-native marketing platform.
Lead SCRUM activities with development teams, including Kick-off presentations, Refinement, Planning, Review, and Retrospective sessions.
Collaborate closely with the Scrum Master and Development Team to achieve product goals and meet customer expectations.
Provide consultations to internal employees, customers, and partners on customizing the system to address business needs.
Organize and conduct training sessions for company employees and clients on new release features.
Required Skills & Competencies
3+ years of experience as a Product Manager or Product Owner, with proven end-to-end product development experience and strong expertise in the product discovery stage.
Proficiency in collaborating and integrating with technology partners to deliver joint products.
Experience collaborating with engineering teams on application architecture and contributing to informed architectural decisions.
Profound understanding of the software development lifecycle.
Advanced communication skills in English (B2+ or higher), both verbal and written, with experience working in an international business environment.
Strong background in B2B product development, preferably within SaaS or platform-based solutions, with the ability to operate effectively at both strategic and detailed requirements levels.
Deep expertise in the MarTech domain and marketing automation platforms, including: social media advertising platforms (Google, Meta, LinkedIn Ads); omnichannel marketing solutions (WhatsApp, SMS, etc.); APIs; third-party integrations; webhook-based event-driven architectures.
Demonstrated experience identifying opportunities and shaping AI-driven product features, including AI-powered personalization, predictive analytics, and intelligent automation.
Proven ability to independently deliver product prototypes, internal tools, or automation flows using AI-assisted development, going beyond concept creation.
Preferred Qualifications
Proven track record of independently delivering AI-powered features from concept to production, not limited to ideation.
Deep practical knowledge of the MarTech ecosystem, including hands-on experience building, configuring, or launching marketing automation solutions.
Hands-on experience using AI coding and no-code tools to build prototypes and automate workflows independently.
What to expect from us
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: İstanbul, Türkiye
Workplace: fully
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
Our mission is to drive the growth and adoption of our B2B products across high-growth global markets. We don’t just manage accounts; we build strategic alliances with financial institutions, master the full sales lifecycle, and foster our clients' long-term success.
To fuel our next phase of expansion, we are looking for a dynamic, results-driven
Growth Manager
proficiency in English and Turkish.
As a Growth Manager, you will serve as a
trusted partner
to our institutional clients within your target region. You will be responsible for driving product adoption, managing complex B2B sales lifecycles, fostering deep market relationships, and unlocking new revenue streams to scale our impact in these strategic areas.
Responsibilities
As a Growth Manager and key member of our
Partnerships team
, you will serve as a trusted partner to our clients within your target region. You will develop strategic alliances, drive our business goals, and collaborate closely with TradingView customers—leading them through technical onboarding and fostering strong, long-lasting relationships.
Proactively develop outbound client pipelines while efficiently managing inbound client partnership requests.
Approach partnerships with a consultative mindset, crafting tailored proposals and high-impact pitches for financial institutions.
Lead clients through technical onboarding and review/proofread technical team responses to ensure seamless, client-friendly communication.
Actively collect customer insights and share key findings with internal teams to drive product optimization.
Own a rigorous ‘test and learn’ methodology to constantly optimize acquisition and engagement strategies.
Continuously build overall brand recognition and trust with customers and partners across your designated region.
What makes you the perfect fit
Native or professional fluency in
Turkish
is required, alongside excellent professional English.
Industry Experience:
Proven track record in B2B sales, account management, or business development, specifically dealing with
financial institutions, fintech, or SaaS
.
A self-starter with a partnership-first mindset and a relentless "can-do" attitude. You have a natural ability to identify business opportunities, articulate value propositions, and navigate negotiations to convert leads into long-term strategic partners.
Highly organized and detail-oriented, with excellent time management skills. You take ownership of your responsibilities and consistently meet deadlines.
Proficiency with customer relationship management (CRM) tools
Competent in Microsoft Office, Slack, and various collaboration tools.
You thrive in a flexible, fast-paced working schedule
Will be a plus
Experience in finance or trading domain
What we offer
Location:
Fully Remote (Must be based within the
Turkey (
Türkiye
)
Employment Type:
B2B Contract
Flexible working hours - Start your day when it suits you best within our wide range of entry hours
Collaborate with experienced professionals and mentors, with ongoing training and growth opportunities.
Enjoy a premium TradingView subscription as part of your benefits.
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Shanghai, China
Riot Games was founded in 2006 by gamers who believe that putting players first can create truly great games. Since launching
League of Legends
in 2009, we’ve grown into a global leader in games, serving millions of players every day. Players are at the heart of everything we do, and we continuously evolve our experiences to better serve them.
We’re looking for humble, driven professionals who take play seriously and bring a strong sense of ownership to their craft. You’re curious, collaborative, and not afraid to challenge conventions in pursuit of better player experiences.
That's where you come in.
As a
Game Producer, Events
on the
Wild Rift
team, you will play a key role in delivering engaging, high-quality in-game events that resonate with players. You’ll partner closely with cross-functional teams—including design, art, engineering, product, and QA—to bring event experiences from concept to launch. You’ll also act as a bridge between player sentiment and development, ensuring that what we ship reflects real player needs and continuously improves over time.
What You’ll Do:
Design and deliver diverse in-game events aligned with patch themes, product goals, and player motivations.
Drive end-to-end execution of event features, from concept and documentation to implementation and launch.
Partner with QA and development teams to proactively identify issues and ensure a high-quality player experience.
Analyze event performance and player behavior, generating insights and actionable recommendations for future improvements.
Monitor player feedback across channels, synthesize key learnings, and collaborate with stakeholders to address pain points.
Continuously raise the bar on event quality, player engagement, and operational excellence.
Required Qualifications:
2+ years of experience in game design, game production, or product management.
Strong familiarity with competitive multiplayer games, especially mobile MOBAs (e.g., League of Legends: Wild Rift, Honor of Kings, or similar PvP titles).
Solid understanding of player motivations and live game event design.
Fluent in Mandarin.
Desired Qualifications:
Experience owning features or systems through a full development lifecycle (concept → launch → iteration).
Proven ability to collaborate across multiple disciplines and stakeholders.
Fluency in English.
Please include both your resume and a cover letter. We read every application carefully—show us your passion for games and how you think about creating meaningful player experiences.
Employment Type: employment contract with FESCO Adecco, a professional personnel company in China
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development.
As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks.
This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you.
Key Responsibilities
Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review
Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis
Work closely with product and design teams to scope, prototype, and ship features for life sciences users
Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements
Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses
Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement
Minimum Qualifications
Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down
Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end
Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)
A track record of shipping computational tools or pipelines that biologists actually use
Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
Able to work independently while collaborating tightly with research, product, and domain-expert teams
Results-oriented with a bias toward rapid iteration and measurable impact
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Preferred Qualifications
5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience
Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis
Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)
Experience building agentic systems or tool-use environments
Published research in ML for biology, or open-source contributions to computational biology tools
Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada
Workplace: remote
ABOUT YOU
Xsolla is looking for a Senior Frontend Software Developer to join a team responsible for building the platform powering all user-facing experiences. This role offers a unique opportunity to collaborate with both local and international teams, focusing on user-centric software that elevates the digital experience for Xsolla’s global audience. In this role you will have the opportunity to contribute in building high-performance frontend solutions used by game developers worldwide. This position requires strong frontend and e-commerce experience, the ability to work on complex technical initiatives, and the capability to support predictable, reliable delivery.
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:
Collaborate with product managers, designers, and backend engineers to translate complex requirements into intuitive user experiences.
Design, build and evolve scalable, high-performance frontend web applications
Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team.
Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools.
Own features end-to-end such as requirement refinement, implementation, testing, and delivery. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency.
Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards.
Contribute to the modernization, refactoring, and continuous performance improvements to keep the platform scalable, maintainable, and aligned with product goals.
Contribute and enforce engineering best practices across coding, documentation, testing, and review processes.
Ensure strong automated test coverage and reliable CI/CD workflows that reduce manual effort and improve delivery predictability.
Own operational excellence, including incident response, root-cause analysis, and long-term reliability improvements.
Advocate for scalability, performance, security, and observability across the platform’s architecture and tooling.
Identify technical risks, estimate complexity, and communicate trade-offs to leadership and stakeholders.
Qualifications & Skills:
At least 2+ years of experience holding a senior frontend development title.
7+ years of frontend software development experience with strong expertise in modern frontend frameworks at scale.
Experience building or leading frontend development for e-commerce, gaming, or monetization platforms
Extensive experience with Typescript, React, Redux or modern state management libraries.
Experience with module federation, component architecture, performance optimizations, accessibility, RSC, and SSR patterns.
Strong expertise in modern CSS frameworks and UX/UI design systems and principles.
Solid understanding of microservices architecture and RESTful or RPC-style APIs integration and patterns.
Proficiency with Node.js and MongoDB for server-side functionality.
Experience with automated testing frameworks (Vitest/Jest) and end-to-end testing (Playwright/Cypress).
Good understanding of bundling and compilation (e.g., webpack, rollup, vite, esbuild)
Experience with CI/CD workflows (GitLab CI or similar), private registries, and secure artifact handling.
Proven ability to influence technical decisions and drive change. Experience in a leadership role is a plus.
Excellent interpersonal and communication skills facilitating effective collaboration with a cross functional team.
Committed to writing high-quality code and continuously improving projects.
Strong understanding of development best practices, including design patterns, testing methodologies, and an agile development process.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Strong English communication skills, both written and verbal
Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration:
For the Frontend Software Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: New York or Remote (US)
Workplace: Remote
ABOUT INJECTIVE LABS
Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry.
Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book.
Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban.
ABOUT THE ROLE
Full-time Position – Hybrid or Remote – Ideally NY.
We’re looking for a Senior Technical Product Manager to help shape and scale products across the Injective ecosystem. You will work closely with engineering, design, and leadership teams across multiple initiatives, helping drive product direction, prioritization, and execution from ideation through launch and iteration.
We’re open to different backgrounds for this role. You may come from a strong crypto-native background with deep understanding of exchanges, DeFi, or financial systems, or from a leading technology company with experience building and scaling high-quality technical products. What matters most is strong product thinking, execution, communication, and genuine curiosity about the future of crypto and finance.
WHO IS THIS ROLE FOR?
This role is for someone who thrives in fast-paced environments, has strong product fundamentals, likes working with high ownership, and can operate effectively in highly technical environments. Most importantly, this role is for someone genuinely passionate about DeFi. Someone who can quickly understand context, challenge the status quo, and constantly push the bar to deliver better products and user experiences.
If you consider yourself someone who knows how to take ownership, lead initiatives end-to-end, and at the same time roll up your sleeves and operate as an IC, this role is for you.
If you’re looking for highly structured processes, clearly defined playbooks, or a comfort-zone environment, this role is probably not for you. We move fast, priorities evolve quickly, and we value people who are proactive, adaptable, and drive solutions forward.
RESPONSIBILITIES:
- Drive product development across multiple initiatives, from new products and feature ideation through launch, iteration, growth, and continuous improvement
- Contribute to product strategy and roadmap planning aligned with company objectives
- Partner closely with engineering, design, and leadership teams to define product direction and priorities
- Own prioritization decisions using user feedback, product intuition, data, and business context
- Translate complex technical concepts and user needs into clear product requirements and execution plans
- Maintain a strong product quality bar across user experience, functionality, and execution
- Define and monitor key product metrics and use insights to improve decision-making
- Work cross-functionally with teams across engineering, growth, BD, operations, and support
- Operate effectively in a fast-paced environment with evolving priorities and high ownership expectations
WHO YOU ARE:
- 7+ years of experience in Product Management, preferably working on technical or infrastructure-heavy products
- Strong product fundamentals and proven product judgment
- Strong technical understanding and experience working closely with highly technical teams, with a solid understanding of finance
- High ownership mentality with the ability to independently drive initiatives forward
- Comfortable operating in ambiguity and fast-moving startup environments
- Strong communication and cross-functional collaboration skills
- User-focused with strong attention to product quality and execution standards
- Technical background, engineering experience, or a technical degree is a strong plus
- Genuine interest in crypto, financial infrastructure, and emerging technologies
- Experience in crypto, exchanges, DeFi, fintech, trading systems, or financial products is a strong plus
- Experience at high-performing technology companies is also highly valued
- Fluent in English
- Ideally based in New York or open to relocating
WHY WORK WITH US?
- Competitive salary and INJ token award
- Unlimited PTO
- Equipment
- Home Office Stipend
- Opportunity to work on cutting-edge blockchain technology in the finance industry.
- Collaborative team culture with opportunities for professional growth and development.
- Global team meet ups.
As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.
We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.
Location: Remote - Nebraska
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 - Mississippi
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 - Idaho
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 - West Virginia
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 - Maryland
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 - Alaska
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 - Virginia
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
.
San Francisco; Palo Alto; New York City
San Francisco; Palo Alto; New York City
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.
Автоотклики