Data Quality Specialist
Generate and validate high-quality data annotations based on guidelines and continuous feedback for the development and evaluation of AI models. Collaborate with the technical team to review and audit annotations, clarify requirements, share insights, and improve annotation processes, tools, and guidelines.
Data Engineer - Foundational
As a Data Engineer on the Foundational team, you will build ETL/ELT pipelines to extract, decode, and store raw Electro-Optical (EO) and Infrared (IR) video into optimized formats like WebDataset, TFRecords, or Parquet. You will develop algorithms to synchronise EO and IR frames temporally and spatially for model training inputs. Architect storage-to-GPU pipelines to ensure multi-node training clusters maintain over 90% GPU utilisation without I/O bottlenecks. Write and optimise distributed data processing jobs using Apache Spark, Ray, or Apache Beam to handle thousands of hours of tactical video logs. Implement automated quality checks to filter corrupted or blank frames and maintain reproducible training runs with versioning and lineage tracking. Evaluate and implement advanced storage solutions such as MinIO or S3 tiering to manage datasets while optimising cost and latency.
Mechanical Engineer & Python Expert - Freelance AI Trainer
Contributors may design graduate- and industry-level mechanical engineering problems grounded in real practice, evaluate AI-generated solutions for correctness, assumptions, and engineering logic, validate analytical or numerical results using Python (NumPy, SciPy, Pandas), improve AI reasoning to align with first principles and accepted engineering standards, and apply structured scoring criteria to assess multi-step problem solving.
Energy Engineering & Python Expert - Freelance AI Trainer
Contributors may design rigorous energy engineering problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python (NumPy, Pandas, SciPy); improve AI reasoning to align with industry-standard logic; apply structured scoring criteria to multi-step problems.
Statistics Expert (Python) - Freelance AI Trainer
Contributors may design rigorous statistics problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy, Statsmodels, and Scikit-learn), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
Senior Python Engineer - AI Testing Project (Freelance, Mindrift)
Create functional black box tests for large codebases in various source languages. Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms. Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards. Leverage LLMs (Roo Code, Claude) to accelerate development cycles, automate repetitive tasks, and improve overall code quality.
Physics Researcher (Python) - Freelance AI Trainer
Contributors may design rigorous physics problems reflecting professional practice; evaluate AI solutions for correctness, assumptions, and constraints; validate calculations or simulations using Python (NumPy, Pandas, SciPy); improve AI reasoning to align with industry-standard logic; and apply structured scoring criteria to multi-step problems.
Deployment Strategist Lead - France
As a Deployment Strategist Lead, you will be fully responsible for opening up a new market for ElevenLabs, building and leading a team to achieve this. Your duties include meeting with strategic customers to understand their critical audio and voice AI needs and pain points, building and leading a team of forward deployed engineers within the region, identifying relevant use cases by deeply engaging with customer problems and workflows, and working with engineers to implement voice and audio AI technology into innovative solutions. You will design and architect bespoke integrations for customers to ensure seamless technology fit, guide customers on best practices for implementing voice and audio AI models, present results and proposals to audiences ranging from technical teams to executives, collaborate with research and product teams to incorporate field insights into software products and AI models, build and deliver demos of voice and audio AI technology, scope potential applications in new industries, expand AI solutions globally, take full ownership of major projects for strategic partners and work hands-on to deliver high-impact solutions, and collaborate daily with customer engineering and executive teams to ensure optimal technology implementation.
System Architect
As a System Architect, you will own the end-to-end architecture, system definition, and strategic implementation for the entire portfolio of robotic systems, collaborating closely with executive leadership, technical leads, and the Product Manager to ensure efficiency. Responsibilities include translating complex strategic goals into global system-of-systems designs and defining the overall system architecture strategy across the enterprise. You will ensure all systems meet defined needs through verification of scope, complex simulations, and precise system sizing to guide major technical investments. Coordination and technical leadership involve managing large multidisciplinary engineering organizations and providing overarching technical leadership across cross-functional design efforts to ensure long-term performance, robustness, and strategic reliability. Additionally, you will govern system integration standards and validation processes, manage specification by ensuring architectural prerequisites are met, and drive multi-system architecture reviews for enterprise design consistency. You will also implement and institutionalize processes to enhance requirements traceability, system documentation standards, and validation workflows across the engineering organization.
Senior Python Engineer - AI Testing Project (Freelance, Mindrift)
Create functional black box tests for large codebases in various source languages. Create and manage Docker environments to ensure 100% reproducible builds and test execution across different platforms. Monitor code coverage and configure automated scoring criteria to meet industry benchmark-level standards. Leverage large language models (LLMs) such as Roo Code and Claude to accelerate development cycles, automate repetitive tasks, and improve overall code quality.
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