
1001 - 5000 employees
Founded 2018
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.
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1001 - 5000 employees
Founded 2018
💼 Consulting
📦 Logistics
📣 Marketing
Consulting • Logistics • Marketing
Turing is a leading company in the field of artificial intelligence, specializing in the advancement of AGI (Artificial General Intelligence) and the evaluation and training of large language models (LLMs). Turing offers a comprehensive range of AI solutions, including model performance assessments, multimodal capabilities integration, and custom engineering for enterprises looking to optimize their AI operations. The company bridges cutting-edge AI research with practical applications, empowering organizations to leverage advanced AI for various real-world challenges.
• Own the production system behind Turing’s software-engineering data programs • Design and manage data pipelines from customer specification to final delivery, accountable for scope, timeline, and quality • Scope and establish coding workstreams across supervised demonstrations, agentic trajectories, RL environments, benchmark construction, and rubric-graded evaluation • Diagnose bottlenecks, resequence workflows, refine instructions, create incentive systems, and scale review processes • Own quality control across the annotation lifecycle and close quality gaps • Analyze datasets for trends, anomalies, and systematic errors and fix root causes • Implement and improve annotation, evaluation, and curation practices • Coordinate 100–1,000+ distributed software-engineering contributors • Define contributor profiles and partner with talent teams on sourcing, assessment, onboarding, and ramping • Own contributor training, performance management, reviewer capacity, incentives, and corrective actions • Build team-lead and reviewer structures • Serve as primary contact for frontier AI lab researchers and program managers • Translate research intent into task specifications and challenge ineffective specifications • Build long-term client relationships and identify expansion opportunities • Use Python, SQL, or other tools to automate quality sampling, defect classification, throughput analysis, and weekly reporting • Convert successful workflows into reusable playbooks, quality controls, evaluation assets, and contributor-management systems • Share lessons and mentor other Strategic Project Leads • Within 30 days, establish baselines, validate controls, and independently lead a defined workstream • Within 90 days, deliver predictable throughput and quality and improve a material operating metric • Within 180 days, run concurrent programs, create reusable assets, support account expansion, and help another lead adopt the operating system
• Background in software engineering, technical program management, consulting, finance, startups, or other operationally intense environments • Proven track record managing complex, multi-stakeholder projects • Strong analytical and communication abilities • Customer-facing experience with high-profile clients, expectation management, and long-term relationship building • Excitement for process optimization and large-scale execution • Ability to read and review code • Ability to follow pull requests in Python, TypeScript, Java, or Go • Ability to read a test suite and independently judge delivered tasks • Bonus: experience with agentic evaluation harnesses, software engineering benchmarks, or RL environments • Bonus: experience managing large distributed contributor networks or marketplaces • Bonus: prior work at an AI data vendor or frontier lab
• Amazing work culture (Super collaborative & supportive work environment; 5 days a week) • Awesome colleagues and exposure to top talent from Meta, Google, LinkedIn, and startup backgrounds • Competitive compensation • Equal opportunity, diverse, inclusive, and authentic workplace
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