Source Job

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Python codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation , validation, and quality control
• Improve reliability, performance, and safety across existing Python codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design scalable, future-proof data platforms optimized for AI research workloads.
• Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
• Implement guardrails for cost, quality, and performance.

AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.

• Own end-to-end quality design for Prolific managed service studies.
• Define, implement, and maintain quality measurement systems.
• Build and deploy automated quality checks and launch gates using Python and SQL.

Prolific provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, they empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

• Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis.
• Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs.
• Perform analyses on large data sets to understand drivers of operational efficiency.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. This company fosters a supportive and inclusive work environment.

• Design, build, and optimize high-performance systems in C++ supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing C++ codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows.
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control.
• Improve reliability, performance, and safety across existing Rust codebases.

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Design, build, and optimize high-performance systems in Rust supporting AI data pipelines and evaluation workflows
• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
• Improve reliability, performance, and safety across existing Rust codebases

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. They focus on real production systems and high-impact research workflows across data, tooling, and infrastructure.

• Lead product requirements and advanced analytics requirements gathering efforts.
• Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
• Build a scalable technology platform to support a growing business and deliver high-quality code to production.

Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.

• Improve model performance through data quality, curation, labeling, and evaluation.
• Work on the data layer of Generative AI products involving images, video, or audio.
• Design, build, and operate workflow orchestration systems and large-scale data processing pipelines.

Synthesia is on a mission to make video easy for everyone with their AI video communications platform. They simplify the entire video production process, making it easy for everyone to create, collaborate, and share high-quality videos, and are trusted by leading brands such as Heineken, Zoom, Xerox, and McDonald’s.

Design, build, and maintain a robust, self-service, scalable, and secure data platform. Create and edit data pipelines, considering business logic, levels of aggregation, and data quality. Enable teams to access and use data effectively through self-service tools and well-modeled datasets.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, with a diversified portfolio of brands and solutions across different countries.

As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.

• Support production systems and help triage issues during live sporting events
• Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
• Integrate large and complex real-time datasets into new consumer and enterprise products

Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.

• Design, implement, and maintain distributed ingestion pipelines for structured and unstructured data.
• Build scalable ETL/ELT workflows to transform, validate, and enrich datasets for AI/ML model training and analytics.
• Support preprocessing of unstructured assets for training pipelines, including format conversion, normalization, augmentation, and metadata extraction.

Meshy is a leading 3D generative AI company transforming content creation by enabling the creation of 3D models from text and images. They have a global team distributed across North America, Asia, and Oceania and are backed by venture capital firms like Sequoia and GGV, with $52 Million in funding.

• Architect and lead the evolution of our modern data platform.
• Design and build production LLM pipelines and infrastructure that power intelligent operations.
• Own end-to-end data acquisition and integration architecture across diverse sources.

Brightwheel is the largest, fastest growing, and most loved platform in early ed. They are trusted by millions of educators and families every day. The team is passionate, talented, and customer-focused and embodies their Leadership Principles in their work and culture.

Join Zapier’s AI Tasks team, where you’ll own the core AI surfaces that make our customers’ workflows smarter. Collaborate with AI experts, product managers, designers, and platform engineers to bring LLM-native workflows to life. Build and refine user-facing features and interfaces for initiating, monitoring, and guiding agent behavior.

At Zapier, we build and use automation every day to make work more efficient, creative, and human.