The Field Engineer will run model evaluations and benchmarks, moving data through internal systems to generate actionable reports for client labs. They will also act as the technical representative on sales calls and manage the delivery of customized data packages.
Design and build scalable infrastructure for evaluating AI coding agents and language models, including benchmark datasets and automated quality checks. Own features across the stack, from data models and background workers to user-facing interfaces.
You will lead product strategy and execution for key platform surfaces including talent discovery, vetting, and marketplace workflows. You will partner with engineering, design, and data teams to translate complex business problems into scalable, high-quality product experiences.
The Compliance Analyst will manage the integrity of the KYC and identity verification program by adjudicating cases and detecting fraud patterns. They will also perform quality assurance audits, contribute to policy improvements, and ensure compliance with AML and sanctions frameworks.
You will design and implement machine learning models to detect and sanitize sensitive data like PII and PHI across large-scale enterprise datasets. Additionally, you will build validation infrastructure and automated test suites to ensure high data quality and compliance with privacy standards.
The Partner Manager will drive revenue by selling Turing's AI implementation services through and with foundation-model partners. They will manage end-to-end partner programs, including onboarding, co-selling, and pipeline reporting to ensure consistent growth.
Lead a team in building custom AI and data solutions for enterprise clients while maintaining hands-on involvement in technical architecture and delivery. Manage project execution, optimize development processes, and mentor team members to ensure high-quality, timely delivery.
The Research Engineer will design and deliver high-quality datasets, RL environments, and evaluations to improve state-of-the-art AI models. This includes translating research goals into technical specifications and building robust validation and synthetic data pipelines.
The Research Engineer will design and deliver high-quality datasets, RL environments, and evaluations to improve state-of-the-art AI models. This involves translating research goals into technical specifications and auditing data for correctness, diversity, and model lift.
The Program Manager will identify and address key business challenges, drive the product roadmap, and oversee execution while optimizing operational processes. They will act as a bridge between technical and non-technical teams to ensure successful delivery of high-quality products that align with organizational goals.
