Role Description We are seeking participants for a conversational audio recording project involving natural customer support-style conversations using provided prompts and instructions. Selected participants may complete recordings individually or with a partner depending on the assignment type and language requirements. Please note: submitting interest through Workable and/or the referral form does not guarantee participation or selection for the project. Due to project volume, language requirements, and limited assignment availability, participant selection and scheduling will be based on operational needs, language alignment, quality review, and a first come, first served model. Qualifications - Strong communication skills in required language(s) - Ability to follow instructions and meet deadlines - Attention to detail - Ability to participate in conversational recordings - Availability aligned with project timelines and assignment needs Requirements - Approximately 1 hour of recording per assignment - Speak naturally (not robotic or scripted sounding) - Follow instructions carefully - Maintain clear audio quality with minimal background noise - Be available for potential re-record requests if needed Participant Responsibilities - Record conversations following provided instructions and prompts - Speak naturally and clearly during recordings - Participate in assigned role-based scenarios - Ensure recordings are completed in a quiet environment - Upload files correctly following project instructions - Re-record assignments if quality requirements are not met - Complete assignments within project deadlines Payment Information - Participants will be paid per approved assignment. - Assignments involve approximately 1 hour of recording time. - Pay Rate for 1 Hour of Recording: $20.00 USD. - Payment is based on approved work and successful quality review. - Work that does not meet quality standards may require re-recording or may not be approved for payment. - Payment timelines and methods will vary depending on participant onboarding type and project structure. Technical Requirements - Computer or laptop with internet access - Working microphone/headset - Ability to use: - Google Sheets - Google Drive - Zencastr - Ability to download, rename, and upload files correctly Agreement & Acknowledgement Selected participants may be required to sign an agreement and acknowledgement form confirming: - Understanding of project instructions and requirements - Acceptance of quality review and payment terms - Consent for project-related use of recorded audio data Fixed Pay Rates (Project-Specific / No Ranges) Please note: These approved premium rates are specific to this project scope and launch phase only. Rates are fixed and non-negotiable. For participants currently onboarded through Deel: Existing Deel rates and onboarding structures may remain in place depending on assignment type and operational alignment.

Role Description - Design, Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen - Konzeption, Implementierung und Optimierung von NLP-Lösungen, LLMs sowie RAG-Architekturen - Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Aufbau, Deployment und Betrieb von ML- und GenAI-Services - Aufbau und Betrieb skalierbarer Datenpipelines Qualifications - Mindestens 7 Jahre Berufserfahrung als AI / ML / Data Engineer - Abgeschlossenes Studium der Informatik, Mathematik, Physik, Data Science oder vergleichbare Qualifikation - Mehrjährige Erfahrung mit Programmiersprachen wie Python - Fundierte Fachkenntnisse in der Entwicklung und Optimierung von Machine-Learning- und Deep-Learning-Modellen mit TensorFlow oder PyTorch - Umfassende Erfahrung in NLP sowie mit LLM- und RAG-Architekturen - Berufserfahrung im Aufbau von Retrieval- und Knowledge-Layern für semantische Suche mit Embeddings sowie Vektor- oder Graph-Datenbanken - Sehr gute Kenntnisse im Aufbau und Betrieb skalierbarer Datenpipelines mit Apache Spark oder SQL und ETL-Tools Benefits - Fixgehalt ab 80.000 € mit Gewinnbeteiligung bis zu 70.000 € - Flexible Arbeitszeiten und Remote-Arbeit - 30 Tage Urlaub - IT-Equipment wie Apple MacBook - Regelmäßige Teamevents - Corporate Benefits wie betriebliche Altersvorsorge, betriebliche Krankenversicherung, Shopping- und Mitarbeiterrabatte

Role Description As a Senior Software Engineer on the Data Platform team, you will be responsible for executing mission-critical systems and data services that analyze blockchain transaction activity at petabyte scale, and ultimately work to build a safer financial system for billions of people. - Build highly reliable data services to integrate with dozens of blockchains. - Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time. - Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data. - Oversee the deployment and monitoring of large database clusters with an unwavering focus on performance and high availability. - Collaborate across departments, partnering with data scientists, backend engineers, and product managers to design and implement novel data models that enhance TRM’s products. Qualifications - A Bachelor's degree (or equivalent) in Computer Science or a related field. - A proven track record, with 5+ years of hands-on experience in architecting distributed system architecture, guiding projects from initial ideation through to successful production deployment. - Exceptional programming skills in Python, as well as adeptness in SQL or SparkSQL. - Versatility that spans the entire spectrum of data engineering in one or more of the following areas: - In-depth experience with data stores such as Iceberg, Trino, BigQuery, and StarRocks, and Citus. - Proficiency in data pipeline and workflow orchestration tools like Airflow, DBT, etc. - Expertise in data processing technologies and streaming workflows including Spark, Kafka, and Flink. - Competence in deploying and monitoring infrastructure within public cloud platforms, utilizing tools such as Docker, Terraform, Kubernetes, and Datadog. - Proven ability in loading, querying, and transforming extensive datasets. Requirements - Build scalable engines to optimize routine scaling and maintenance tasks. - Enable tasks to be faster next time and reduce dependency on a single person. - Identify ways to compress timelines using the 80/20 principle. - Identify first version, a.k.a., "skateboards" for projects. Benefits - Remote-first and async friendly environment. - High level of personal ownership and accountability. - Close collaboration across teams and functions. - Creative problem solving and out-of-the-box thinking. - A pace that rewards urgency, adaptability, and outcomes. Company Description TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.

Role Description Atlassian is looking for a Principal Data Engineer to join our Data Engineering Team and play a tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture. - Own the technical evolution of the data engineering capabilities and be responsible for ensuring solutions are being delivered incrementally, meeting outcomes, and promptly escalating risks and issues. - Establish a deep understanding of how things work in data engineering, use this to direct and coordinate the technical aspects of work across data engineering, and systematically improve productivity across the teams. - Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations. - Drive complex decisions that can impact the work in data engineering. Set the technical direction and balance customer and business needs with long-term maintainability & scale. - Understand and define the problem space, and architect solutions. Coordinate a team of engineers towards implementing them, unblocking them along the way if necessary. - Lead a team of data engineers through mentoring and coaching, work closely with the engineering manager, and provide consistent feedback to help them manage and grow the team. - Work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team. Qualifications - You have 12+ years of experience in a Data Engineer role as an individual contributor. - You have at least 2 years of experience as a tech lead for a Data Engineering team. - You are an engineer with a track record of driving and delivering large (multi-person or multi-team) and complex efforts. - You are a great communicator and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success. - Experience with building streaming pipelines with a micro-services architecture for low-latency analytics. - Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift). - Experience building scalable data pipelines using Spark using Airflow scheduler/executor framework or similar scheduling tools. - Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka). - Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team. - Industry experience working with large-scale, high-performance data processing systems (batch and streaming) with a "Streaming First" mindset to drive Atlassian's business growth and improve the product experience. Benefits - Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. - Our offerings include health and wellbeing resources, paid volunteer days, and so much more. Company Description At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.