Role Description As a Freelance Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Portuguese to power our machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with our NLP experts, ensuring the accuracy and relevance of our data for the market, and contributing directly to the quality and reliability of our AI-driven products in the medical domain. This role is ideal for candidates with a strong linguistic background in Italian who are passionate about working in the healthcare and technology space. The ideal freelancer has experience in data annotation, transcription, and text analysis, combined with a basic understanding of medical terminology and concepts. This is not a full-time job; it's for FREELANCERS ONLY. You must be able to invoice in EUR. Key Responsibilities: - Prepare and maintain medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency. - Follow and provide feedback on annotation and labeling conventions, as well as perform audio transcriptions in Italian (aligning audio with text and correcting text based on audio). - Implement text patterns to detect and extract named entities in Italian, such as names, addresses, organization names, ID numbers, and medical terms. - Contribute to dictionaries and taxonomies in Italian for use in NLP systems. - Evaluate the correctness and accuracy of words, sentences, and text structures, ensuring linguistic quality and consistency. - Deliver high-quality work within established deadlines and communicate proactively about project progress and challenges. Qualifications - Languages: Native Italian speaker and Full Professional Level of English - Linguistic Expertise: A degree or strong background in linguistics, computational linguistics, or a related field. - Medical Knowledge: Familiarity with medical terminology or prior experience in the healthcare domain. - Data Annotation: Hands-on experience with data annotation, transcription, and labeling tools. - Text Analysis: Proficiency in working with text patterns and dictionaries for NLP purposes. - Attention to Detail: Exceptional ability to assess and improve data quality. - Self-Management: Strong ability to work independently, manage time effectively, and consistently meet deadlines. Requirements - Previous experience in AI, machine learning, or data preparation projects. - Knowledge of multiple languages or dialects. - Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR). - Experience working as a freelancer on similar annotation or linguistic projects. Benefits - Remuneration: 15 euros / h

Role Description As our new Data Engineer, you will join a collaborative and skilled organization working with data at scale to enable automation of real business cases through data-driven and Machine Learning-based intelligence. We are hiring two Data Engineers for two closely collaborating teams with different focus areas: - The Data Science team, working directly with forecasting, analytics, and ML-based decision support. - The Data Streaming Platform (DSP) team, a newly formed team building and operating a central platform for real-time and event-driven data across the organization. We work in a Scrum setup and have in recent years been very successful in forecasting both electricity prices and electricity consumption, while at the same time scaling our real-time data capabilities. Your work will have direct and measurable impact. What will you do? - Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python. - Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams. - Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink. - Ensure high data quality through validation, monitoring, and lineage. - Develop and improve data workflows, standards, and reliability in production systems. - Dependent on your area of expertise and interest, you will work in either the Data Science- or Data Streaming Platform team. Data Science team focus: - Enable forecasting, analytics, and ML use cases with high-quality, well-modelled data. - Collaborate closely with Data Scientists, ML Engineers, and other engineering teams. DSP team focus: - Build Kafka based central streaming data platform from scratch to enable traders, analysts and asset managers to publish and consume live and historical data at scale. - Operate and continuously enhance the components once the platform is in production. Location: Katowice or remotely in Poland Qualifications - Strong Python and SQL skills. - Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases. - Hands-on experience with streaming systems (Kafka, Spark or Flink). - Familiarity with Airflow, CI/CD, DevOps practices. - Experience with Docker, Kubernetes, and Infrastructure-as-Code. - Understanding of data contracts, time-series data, and event-driven systems. - Fluency in English and interest in the energy domain. Benefits - Good remuneration. - A challenging and international work environment. - The possibility to work with some of the best in the field. - Working in interdisciplinary teams with support from committed colleagues. - Attractive employment conditions and opportunities for personal and professional development.

Role Description As a Freelance Data Annotation Specialist at Docplanner, your main focus will be preparing and curating linguistically and medically oriented datasets in Spanish to power our machine learning and natural language processing (NLP) initiatives. You will work independently while maintaining clear communication with our NLP experts, ensuring the accuracy and relevance of our data for the market, and contributing directly to the quality and reliability of our AI-driven products in the medical domain. This role is ideal for candidates with a strong linguistic background in Spanish who are passionate about working in the healthcare and technology space. The ideal candidate has experience in data annotation, transcription, and text analysis, combined with a basic understanding of medical terminology and concepts. This is not a full-time job; it's for freelancers only. - Prepare and maintain medically oriented datasets for machine learning purposes, ensuring high-quality data annotation and consistency. - Follow and provide feedback on annotation and labeling conventions, as well as perform audio transcriptions in Italian (aligning audio with text and correcting text based on audio). - Implement text patterns to detect and extract named entities in Portuguese, such as names, addresses, organization names, ID numbers, and medical terms. - Contribute to dictionaries and taxonomies in Spanish for use in NLP systems. - Evaluate the correctness and accuracy of words, sentences, and text structures, ensuring linguistic quality and consistency. - Deliver high-quality work within established deadlines and communicate proactively about project progress and challenges. Qualifications - Languages: Native Spanish speaker and Full Professional Level of English - Linguistic Expertise: A degree or strong background in linguistics, computational linguistics, or a related field. - Medical Knowledge: Familiarity with medical terminology or prior experience in the healthcare domain. - Data Annotation: Hands-on experience with data annotation, transcription, and labeling tools. - Text Analysis: Proficiency in working with text patterns and dictionaries for NLP purposes. - Attention to Detail: Exceptional ability to assess and improve data quality. - Self-Management: Strong ability to work independently, manage time effectively, and consistently meet deadlines. Requirements - Previous experience in AI, machine learning, or data preparation projects. - Knowledge of multiple languages or dialects. - Exposure to medical coding systems (e.g., ICD, CPT) or electronic health records (EHR). - Experience working as a freelancer on similar annotation or linguistic projects. Benefits - Remuneration: 15 euros / h

• Serve as the bridge between complex technical architecture and strategic business value. • Act as the primary strategic partner to client business owners, aligning technical data solutions with corporate goals while championing reliability and "clean data" for all consumers. • Drive the development of complex, large-scale data architectures and multi-year technology roadmaps. • Oversee "team-of-teams" delivery performance, ensuring the quality and resilience of high-impact data pipelines. • Lead the triage and resolution of critical platform incidents, maintaining transparent communication with clients. • Implement robust governance frameworks and compliance controls. • Champion an organisational culture of knowledge sharing and represent the firm at industry events. • Influence long-term organizational health by driving platform efficiency and leading strategic hiring and retention initiatives.