The role involves accurately transcribing, segmenting, and reviewing audio and text data to support AI model development. You will perform quality assurance checks to ensure all outputs meet project guidelines and accuracy standards.
You will own the end-to-end development cycle for a modern, AI-integrated application hosted on Google Cloud Platform. This includes building responsive interfaces, architecting scalable backend services, and integrating Google's Vertex AI for intelligent data processing.
Produce accurate transcriptions of spoken Korean audio and clean existing transcripts for AI training purposes. Handle complex audio elements such as crosstalk, background noise, and multiple speakers while adhering to strict formatting guidelines.
Design and maintain Salesforce CI/CD pipelines, manage deployments across development, QA, UAT, and production environments, and coordinate release orchestration, version control, backups, and rollbacks. Troubleshoot deployment and environment issues, improve release governance and automation, and document deployment procedures in collaboration with technical and business stakeholders.
Design, implement, and optimize Salesforce Data Cloud solutions, including data ingestion, identity resolution, unified profiles, segmentation, calculated insights, and activation. Build enterprise integrations, support data quality and governance, troubleshoot platform issues, and document technical designs and operational processes.
The developer will configure and manage Salesforce Data Cloud and Marketing Cloud capabilities to support customer engagement and lifecycle marketing. They will also collaborate with cross-functional teams to design data models, build automation workflows, and ensure platform performance and security.
You will own the end-to-end development cycle for an AI-integrated application, bridging a React/TypeScript frontend with a Python/FastAPI backend. Responsibilities include deploying services on Google Cloud Platform, managing data pipelines, and integrating Vertex AI for intelligent risk assessment.
Design, develop, and maintain scalable payment-domain services, including technical specifications and architectural designs, while supporting high transaction volumes. Coach the team on engineering best practices, collaborate on planning and code reviews, resolve technical issues, and maintain software quality through CI/CD, documentation, and technology evaluations.
You will record short video and audio clips to help AI understand human tone, intent, and emotion. Additionally, you will listen to and transcribe various audio and video content.
Develop and maintain features for iOS and Android applications using AI-assisted development tools. Collaborate with designers and backend engineers to improve app architecture and integrate new product experiences.
The engineer will migrate existing automation identities to GitLab native service accounts while ensuring CI/CD workflow continuity. They are responsible for rotating credentials, updating permissions, and resolving automation failures during the migration process.
The Technical Lead will diagnose and resolve urgent production issues across interconnected backend, frontend, and data systems. They will also coordinate engineering efforts, manage project priorities, and ensure reliable delivery while maintaining hands-on involvement in code development.
Participate in real-time conversational scenarios with AI systems and evaluate responses based on technical accuracy and language quality. Label transcripts and provide written justifications for AI performance using structured rubrics.
Provide professional customer support in Japanese and English across multiple channels while adhering to SOPs. Accurately document all customer interactions and collaborate with internal teams to ensure a seamless experience.
Develop and maintain production-grade Java and Spring Boot microservices to ensure accurate and reliable financial billing data. Design and implement event-driven workflows, database migrations, and observability improvements within a distributed systems environment.
Build, maintain, and improve backend Java services and integration-layer middleware to support business-critical workflows. Diagnose and resolve API and integration failures while participating in production support rotations and monitoring platform health.
The engineer will build and maintain backend Java services, platform components, and integration layers to support business-critical workflows. They will also participate in production support rotations, triage alerts, and resolve integration failures.
The engineer will build and maintain backend Java services while managing data processing and integration-layer middleware. They are also responsible for production troubleshooting, monitoring system health, and resolving API failures within business-critical workflows.
The engineer will design, build, and maintain scalable cloud-native backend systems while managing platform maintenance and operational tooling. They will collaborate with cross-functional teams to deliver high-performance solutions and ensure system reliability.
The Senior Software Engineer will develop and integrate AI-powered capabilities into a recruiting platform while managing cross-system solutions from design to delivery. They will also engage with stakeholders to shape product decisions and maintain reliable, scalable integrations.
The role involves owning end-to-end product design for authentication and account-management initiatives, from problem framing to engineering-ready specifications. You will audit existing flows, design complex multi-path experiences, and provide design quality assurance through implementation and launch.
Architect and build full-stack applications for data-driven operational workflows and system integrations. Lead code reviews, establish engineering standards, and ensure the reliability and performance of production services.
The Data Engineer will develop and maintain secure, scalable data pipelines and warehouse models to support people insights and AI-ready datasets. They will also design semantic layers and integrate governed data sources with AI-enabled interfaces.
The Product Designer will own end-to-end design for authentication and account-management initiatives, from problem framing to engineering-ready specifications. They will audit existing identity flows, design complex multi-path experiences, and provide quality assurance through launch.
Serve as the primary Tier 3 technical subject-matter expert for Cisco collaboration and voice infrastructure, including CUCM, CUBE, and SIP environments. Lead major-incident response, disaster-recovery scenarios, and technical delivery for public-sector utility voice services.
Serve as the primary Tier 3 technical subject-matter expert for Cisco collaboration and voice infrastructure, including CUCM, CUBE, and SIP. Lead major-incident response, disaster-recovery scenarios, and ongoing managed services for public-sector utility clients.
The engineer will build and maintain backend services, API integrations, and dynamic web experiences using Node.js and React. They will also implement content models in a headless CMS and ensure platform performance through automated testing and CI/CD workflows.
Provide professional customer support in Russian, Ukrainian, and English to resolve inquiries accurately and timely. Maintain high standards of service quality, productivity, and data security while adhering to company policies.
Provide professional customer support to an international base in both Chinese and English while adhering to company policies and SOPs. Maintain high performance standards regarding customer satisfaction, quality, and productivity while working assigned shifts.
The role involves designing and training autonomous AI agents by providing expert human feedback. Experts will apply their professional knowledge to help improve AI models in the personal finance domain.
The role involves creating, annotating, and evaluating biology-domain content for an AI data project. Experts will apply their domain knowledge to ensure the quality, accuracy, and relevance of the biological data.
The developer will configure and manage Salesforce Data Cloud and Marketing Cloud capabilities to support customer engagement and lifecycle marketing. They will also collaborate on data models, integration services, and omnichannel campaign execution while ensuring platform performance and security.
The developer will configure and manage Salesforce Data Cloud capabilities, including data ingestion, profile unification, and audience segmentation. They will also build and optimize Marketing Cloud journeys, automations, and omnichannel communication workflows to support customer engagement.
The developer will configure and manage Salesforce Data Cloud and Marketing Cloud capabilities to support customer engagement and lifecycle marketing. They will also collaborate with cross-functional teams to design data models, build automation workflows, and ensure platform performance and security.
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing Cloud to support customer journeys and data activation. Collaborate with cross-functional teams to translate campaign requirements into scalable technical solutions while ensuring data quality and platform performance.
The Data Analyst will analyze data using SQL to identify business trends and maintain stakeholder-facing dashboards and reports. They are also responsible for documenting requirements in JIRA and creating semantic definitions to improve data understanding across teams.
The developer will design, implement, and maintain Salesforce CI/CD pipelines using Copado to ensure reliable and efficient deployment processes. They will also coordinate release orchestration and collaborate with cross-functional teams to improve deployment predictability and quality.
Design and implement scalable Salesforce Data Cloud solutions including data ingestion, identity resolution, and unified customer profiles. Develop and maintain integrations between Data Cloud and external systems while optimizing activation workflows for customer engagement.
Design, develop, and deploy custom Salesforce CRM solutions including integrations and AI-enabled workflows. Collaborate with stakeholders to define technical requirements and maintain high code quality through testing and documentation.
Experts will participate in real-time conversational scenarios with AI systems and evaluate the quality, accuracy, and technical structure of the responses. They are responsible for labeling transcripts, providing written justifications, and capturing session artifacts like console logs.
Experts will evaluate and improve AI-generated audio responses by reviewing transcripts and assessing technical accuracy, formatting, and JSON structure. They are responsible for participating in real-time conversational scenarios and providing written justifications for their evaluations.
Provide individualized assistance to participants in virtual HR workshops by diagnosing and troubleshooting generative AI prompt and output issues. Facilitate learning by guiding participants through iterations without completing the work for them.
The Product Manager will own initiatives across financial systems, order-to-cash, and revenue operations while partnering with cross-functional teams to map processes and identify gaps. They are responsible for defining functional requirements and ensuring business needs are accurately translated into technical solutions for engineering and data teams.
Build, maintain, and improve automated test frameworks using TypeScript and Playwright while developing functional, integration, and API tests. Independently contribute to production backend code using Java or Kotlin to improve product quality and reliability.
The developer will maintain and enhance Salesforce Service Cloud solutions, including automation, integrations, and omnichannel support. They are also responsible for monitoring production health, triaging incidents, and ensuring the stability of operational workflows.
Build, maintain, and improve automated test frameworks using TypeScript and Playwright while developing functional, integration, and API tests. Contribute independently to production backend code using Java or Kotlin and support automated test execution through CI/CD pipelines.
The developer will build, maintain, and enhance Salesforce solutions including Service Cloud applications and complex workflow automations. They are also responsible for monitoring production platform health, managing operational incidents, and developing integrations with external data platforms like Snowflake.
You will build and maintain data pipelines while developing dashboards and actionable insights from web and campaign data. The role involves collaborating with stakeholders to translate business needs into effective data solutions.
The AI Platform Technical Lead will design, build, and maintain production-quality AI agents, workflows, and enterprise integrations. They will serve as a senior technical escalation point, establishing standards and mentoring other engineers to ensure AI systems are secure and performant.
Lead complex cross-functional programs supporting application security and engineering operations. Facilitate program governance, track progress, and communicate status to leadership and stakeholders.
The role involves writing, rating, and translating content to train AI systems, including prompt engineering and data labeling. You will also assess the quality of AI-generated responses and provide detailed feedback to ensure accuracy.
The Data Engineer will design, build, and maintain scalable ELT/ETL pipelines and datasets to support cloud cost visibility and performance insights. They will also develop automation tools and collaborate with Engineering and Finance teams to ensure cost-aware decision-making.
Experts will participate in real-time conversational scenarios with AI systems and evaluate responses based on technical accuracy, JSON structure, and language quality. They are responsible for labeling transcripts, providing written justifications for evaluations, and maintaining high-quality audio standards.
Experts will participate in real-time conversational scenarios with AI systems and evaluate responses based on technical accuracy, language quality, and JSON structure. They are responsible for labeling transcripts, providing written justifications for evaluations, and maintaining high-quality audio standards.
Evaluate and improve AI-generated audio responses by reviewing transcripts and assessing technical accuracy. Perform real-time conversational scenarios while ensuring JSON structure and formatting meet project guidelines.
Experts will participate in real-time conversational scenarios with AI systems and evaluate responses based on language quality, technical accuracy, and JSON structure. They are responsible for labeling transcripts, providing written justifications for evaluations, and maintaining high-quality audio sessions.
Experts will participate in real-time conversational scenarios with AI systems and evaluate responses based on technical accuracy, JSON structure, and language quality. They are responsible for labeling transcripts and providing written justifications for their assessments.
Design, build, and maintain scalable ELT/ETL pipelines and datasets to support cloud cost visibility and performance insights. Collaborate with Engineering and Finance stakeholders to implement automation and cost-aware decision-making tools.
You will participate in live voice conversations with AI systems in Greek and annotate conversation transcripts for quality and accuracy. Additionally, you will evaluate AI responses based on technical correctness, JSON structure, and customer experience guidelines.
Evaluate model-generated content across various modalities including text, images, and audio against specific quality rubrics. Conduct independent research on unfamiliar topics using trusted sources to ensure accurate evaluation decisions.
Evaluate model-generated content across various modalities including text, images, and audio against specific quality rubrics. Conduct independent research on unfamiliar topics using trusted sources to ensure accurate evaluation decisions.
Build and maintain backend services, microservices, and automation workflows to support CRM and lead-routing systems. Develop and integrate REST APIs and Salesforce platform solutions while contributing to an enterprise go-to-market data platform.
Evaluate model-generated content across various modalities including text, images, and audio against specific quality rubrics. Conduct independent research on unfamiliar topics using trusted sources to ensure accurate evaluation decisions.
Design and evaluate complex CFD and aerodynamics tasks to train AI models in engineering reasoning. Develop deterministic scoring checkers and verified reference solutions to ensure technical accuracy of AI-generated responses.
Design and develop CFD and aerodynamics tasks to evaluate the engineering reasoning capabilities of AI models. Create deterministic scoring checkers and verified reference solutions to ensure technical accuracy and objective evaluation of AI responses.
The developer will review, analyze, and evaluate Lua code for quality and performance while contributing to AI model training. They will also perform scripting tasks and provide technical feedback within the Roblox development environment.
Review, analyze, and evaluate Lua code for accuracy, quality, and best practices to support AI model training. Identify bugs, performance issues, and contribute to the development of high-quality training data.
Design realistic AI training tasks and reference solutions based on complex structural engineering challenges. Review AI-generated engineering solutions for technical accuracy and compliance with design codes.
Design realistic AI training tasks and reference solutions based on complex structural engineering concepts. Review AI-generated engineering solutions for technical accuracy and compliance with design codes.
Record short video and audio clips using various tones and emotional styles to help AI understand human intent. Additionally, transcribe audio and video clips into text.
Coordinate strategic programs to improve engineering operations and application security processes. Lead cross-functional collaboration, track program milestones, and communicate status and risks to leadership.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Record short video and audio clips using various tones and emotional styles to help AI understand human intent. Listen to and transcribe audio and video clips into text.
Record short video and audio clips acting out scripts with various tones and emotions. Listen to and transcribe audio and video clips to help AI understand human intent.
Record short video and audio clips acting out scripts with various tones and emotions. Listen to and transcribe audio and video content to help AI understand human intent.
Record short video and audio clips acting out scripts with various tones and emotions to train AI. Additionally, transcribe audio and video clips into text.
Produce precise, verbatim Pashto transcriptions from single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Record short video and audio clips acting out scripts with various emotional tones to help AI understand human intent. Additionally, capture text from various audio and video clips.
Produce precise, verbatim Kazakh transcriptions from single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Produce precise, verbatim transcriptions of Irish audio recordings, including filler words and speaker labels. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Produce precise, verbatim Icelandic transcriptions of single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to support AI speech recognition model training.
Produce precise, verbatim Nepali transcriptions from single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
The role involves improving advanced AI systems by evaluating outputs, refining logic, and developing verifiable performance rubrics. You will also refactor code, optimize system behavior, and test for vulnerabilities to enhance AI-generated code quality.
Develop evaluation criteria and review system logs to improve the reliability and quality of AI-generated code. Refactor code and test systems for vulnerabilities to enhance how AI models optimize software performance.
Develop evaluation criteria and review system logs to improve the reliability and quality of AI-generated code. Refactor code, optimize system behavior, and test for vulnerabilities to enhance large language model performance.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
Develop evaluation criteria and review system logs to improve the reliability and code quality of advanced AI systems. Refactor code and test for vulnerabilities to ensure AI models generate reliable and secure outputs.
Produce precise, verbatim Malay transcriptions from single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Lead and optimize the end-to-end contract lifecycle and Quote-to-Cash processes, focusing on quoting, pricing, and deal governance. Collaborate cross-functionally to ensure contract terms translate accurately into billing and revenue systems.
Produce precise, verbatim Dutch transcriptions and review audio recordings for AI training. Responsibilities include adding speaker labels, inserting timestamps, and annotating non-speech events.
Produce precise, verbatim Hebrew transcriptions of single and multi-speaker audio recordings. Annotate non-speech events and insert precise timestamps to help train AI speech recognition models.
Conduct natural conversations with two AI models based on provided scenarios. Compare and rank the model performances and provide evaluations based on specific criteria.
Record approximately one hour of prompted speech using a virtual recording platform. Ensure audio is captured in a quiet environment and submitted for research and development purposes.
Provide professional customer support by responding to inquiries in both Korean and English. Maintain high reliability and punctuality while meeting response time targets.
Provide professional customer support by responding promptly to inquiries in both Korean and English. Maintain high reliability and punctuality while meeting response time targets.
