Manage contracts, proposals, and payments for external partners and professors.
Collect, organize, and analyze operational data to support business decisions.
Identify opportunities to automate and streamline processes using AI tools.
The partner company operates in the education sector, focusing on dynamic learning environments. It fosters a collaborative culture that emphasizes operational efficiency and data-driven decision-making.
Listen to recorded audio files in the target language and transcribe conversations accurately.
Follow formatting and transcription guidelines, review and correct errors.
Complete assigned tasks within deadlines and maintain confidentiality of materials.
We are a field data collection company founded in 2017 in Europe. Our teams support projects involving speech recording, transcription, image and video collection, mapping, and AI training across Europe and North America.
Lead design and implementation of data science initiatives from problem definition to production deployment.
Develop, evaluate, and optimize machine learning models on AWS, owning the full data science lifecycle.
Mentor data professionals and partner with stakeholders to drive measurable business value.
The company is a partner of Jobgether, providing data science and machine learning solutions for complex business challenges. It offers a collaborative remote environment with experienced professionals and strong autonomy.
Own and evolve the product metrics framework, ensuring consistent definitions and reliable dashboards.
Design and analyze A/B tests, investigating anomalies and conversion bottlenecks to guide product decisions.
Translate complex datasets into actionable recommendations, improving data quality and experimentation practices.
This company leverages data analytics and experimentation to guide product strategy. It operates with a remote-first, international team and values rigorous analysis and cross-functional collaboration.
Design and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.
Lead the development and evolution of data governance frameworks and stewardship practices across the organization.
Partner with stakeholders across Data Strategy, Technology, Security, Legal, and Compliance to strengthen data quality and governance.
Balance strategic thinking with hands-on execution to promote data literacy, accountability, and continuous improvement.
The company is a data-intensive organization operating in the insurance industry. It prioritizes data governance and stewardship with a collaborative, respectful, and solution-oriented culture.
Design and deploy AI-driven applications, RAG pipelines, and agentic systems for real-world enterprise use.
Build semantic search and vector-based retrieval layers using LangChain, LlamaIndex, and embedding models.
Process large-scale datasets with Python, PySpark, and SQL, and design scalable data warehouse architectures.
They build next-generation intelligent, agentic AI systems that can reason, retrieve information, and execute complex workflows. They focus on innovation, remote work, and employee growth, offering a collaborative and inclusive environment.
Accurately annotate and evaluate text, video, and geographic data following detailed guidelines.
Conduct research and review your work to ensure high standards of consistency and quality.
Collaborate with an international team and provide feedback to improve annotation processes.
They are an AI data company that improves the accuracy and performance of generative AI models through data annotation. They operate with a fully remote, collaborative team culture.
Design and implement model-based RL agents and planning controllers for real industrial systems.
Develop learned world models and training pipelines to make control agents reliable and safe.
Work closely with researchers and engineers to translate cutting-edge RL research into production outcomes.
Phaidra builds AI-powered control systems for industrial facilities, using reinforcement learning to help them learn and improve over time. The company is a fully remote, international team with roots at DeepMind and Google, and values Agency, Velocity, Craft, and Truth.
Design, build, and maintain automated ETL pipelines and data frameworks using Snowflake and Python.
Collaborate with business users and teams to define requirements and deliver data solutions within agile methodology.
Validate data quality, troubleshoot issues, and optimize data delivery for analysts and third-party systems.
Empeople Credit Union is a financial institution that provides credit union services to its members. They offer a remote work environment with a focus on data-driven insights and a collaborative culture.