Personal Finance Experts for AI Training
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 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.
Build and operate MCP-based services to enhance AI agent context access across enterprise systems. Manage the full lifecycle of these services from development through production deployment.
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 engineer will support a large-scale modernization initiative by migrating over 4,000 applications to current Java, Spring Boot, and Gradle versions. They will also collaborate with engineering teams to troubleshoot and resolve complex migration issues.
The engineer will support a large-scale enterprise application modernization initiative by migrating over 2,000 applications to newer JavaScript versions. They will also facilitate the transition from npm to pnpm and collaborate with teams to ensure migration consistency and reliability.
The specialist will be responsible for adding, editing, and merging data within a large international database while performing quality assurance on Hebrew-English translations. They must complete tasks accurately using client-provided tools and adhere to productivity metrics and service level agreements.
The CIS Marketing Specialist will develop and execute market strategies for Russian-speaking regions by analyzing consumer behavior and digital trends. They will collaborate with cross-functional teams to manage paid media, creative campaigns, and affiliate programs to drive growth and brand awareness.
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 engineer will maintain and modernize internal business applications by developing back-end services in Python/Django and Java/Spring Boot. They will also integrate these applications with AI-enabled experiences and enterprise platforms while ensuring secure authentication and data management.
Develop and maintain Java-based backend services and data processing components to support scalable enterprise applications. Collaborate with cross-functional teams to design, implement, and troubleshoot data-driven solutions and system integrations.
Design and develop scalable data processing solutions using Spark and cloud-based platforms like Amazon EMR. Collaborate with cross-functional teams to build data pipelines and integrate AI or machine learning workflows into production environments.
Design and build AI-powered applications and agentic workflows that integrate with external tools and business systems. Collaborate with cross-functional teams to optimize AI performance, reliability, and scalability in production environments.
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, build, and scale intelligent applications, backend services, and agentic workflows that integrate with external tools. Collaborate with cross-functional teams to optimize AI performance, reliability, and safety in production environments.
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.
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 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.
The Technical Lead will oversee end-to-end delivery of projects involving Salesforce, AI agents, and enterprise integrations. They will partner with stakeholders to design scalable solutions while mentoring engineering teams on best practices.
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.
Develop and maintain Java-based backend services and data processing components while building scalable solutions for data ingestion and system integration. Collaborate with cross-functional teams to design, test, and support production operations for data-driven services.
The engineer will design and develop scalable data processing solutions using Spark and Amazon EMR while building and maintaining distributed data pipelines. They will also collaborate with AI and product teams to integrate machine learning workflows and optimize system performance and reliability.
The role involves evaluating and improving AI-generated audio responses by reviewing transcripts and assessing technical accuracy. Operators will perform real-time conversational scenarios and validate JSON structures against project guidelines.
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.
Create domain-specific prompts and high-quality responses to evaluate AI models for accuracy, reasoning, and relevance. Review content for clarity and completeness while applying subject-matter expertise in cytogenetics.
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.
Create domain-specific prompts and high-quality responses to evaluate AI models for accuracy and reasoning. Review content for clarity and completeness while ensuring adherence to project guidelines and quality standards.
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 Business Analyst will bridge the gap between business stakeholders and technical teams by eliciting, documenting, and managing requirements throughout the project lifecycle. They will also facilitate user acceptance testing, map business processes, and ensure effective communication across cross-functional teams.
Lead the creative development of branded retail pop-up environments from initial concept through to detailed design and execution. Collaborate closely with clients and project managers to present design concepts, incorporate feedback, and ensure practical build-outs.
Participants will use their Google Pixel device as their primary phone to interact with various apps and generate notifications. They are required to complete daily notification sorting workflows and submit short feedback forms.
Participants will use a Google Pixel device as their primary phone to interact with various apps and generate notifications. They are required to complete daily notification sorting workflows and submit feedback forms.
Participants will use their Google Pixel device as their primary phone to interact with apps and generate notifications. They are responsible for completing daily notification sorting workflows and submitting feedback forms.
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.
Lead UX/UI efforts for large-scale rebranding and redesign initiatives while collaborating with cross-functional teams to implement scalable product solutions. Manage content management system integrations and support data-driven experimentation through A/B testing and user research.
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 role involves conducting market research, lead prospecting, and managing Salesforce data to support the Digital Marketing and Communications team. You will also be responsible for analyzing campaign performance and preparing follow-up reports to optimize sales and marketing pipelines.
The researcher will independently plan and execute mixed-method research to support enterprise employee-experience and internal-tooling initiatives. They will translate complex business questions into actionable insights and partner with cross-functional teams to improve product and operational workflows.
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 consultant will provide hands-on configuration and functional support across Workday Financials domains, with a focus on Financial Accounting. They will independently manage complex configurations from design through deployment while resolving production issues and partnering with business stakeholders.
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, and capturing session artifacts like logs and recordings.
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.
The designer will execute UX/UI work across a career-site product backlog, focusing on chatbot functionality and reusable components for a modular design system. They will collaborate with cross-functional stakeholders to ensure designs are feasible, accessible, and consistent across various client brands.
The role involves designing, building, and maintaining software, APIs, and automation to support platform reliability and observability. You will also be responsible for monitoring containerized environments and driving proactive maintenance and performance improvements.
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.
Participants will use a Google Pixel device to interact with mobile applications and sort notifications daily. They are also required to submit short daily feedback forms throughout the project duration.
Participants will use a Google Pixel device as their primary phone to interact with apps and generate notifications. They are responsible for completing daily notification sorting workflows and submitting feedback forms.
Participants will use a Google Pixel device as their primary phone to interact with various apps and generate notifications. They are required to complete daily notification sorting workflows and submit short feedback forms.
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.
Develop, deploy, and maintain scalable machine learning models and data pipelines in a production cloud environment. Collaborate with engineering and business stakeholders to translate needs into data-driven solutions and monitor model performance.
Provide hands-on configuration and functional support across multiple Workday Financials domains to support production operations and strategic initiatives. Partner with Finance and Accounting stakeholders to translate business requirements into scalable platform solutions.
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.
Provide professional customer support in Japanese and English across multiple communication channels. Resolve inquiries efficiently while adhering to SOPs and maintaining strict data confidentiality.
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.
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 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 Nepali 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 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.
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.
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.
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 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.
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.
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.