Opportunity at
TuringEngineering Manager
Turing is hiring an Engineering Manager to lead the creation of internal tooling and quality-control systems designed to support AI training workflows. Headquartered in San Francisco…
Career Tools
About This Role
Turing is hiring an Engineering Manager to lead the creation of internal tooling and quality-control systems designed to support AI training workflows. Headquartered in San Francisco and operating across the United States, Turing collaborates with top AI research laboratories and Fortune 500 companies to develop datasets, reinforcement learning environments, and agentic AI systems. This position fits leaders who thrive in a fast-paced, ambiguous startup atmosphere with short delivery timelines and…
Job Description
Turing is hiring an Engineering Manager to lead the creation of internal tooling and quality-control systems designed to support AI training workflows. Headquartered in San Francisco and operating across the United States, Turing collaborates with top AI research laboratories and Fortune 500 companies to develop datasets, reinforcement learning environments, and agentic AI systems.
This position fits leaders who thrive in a fast-paced, ambiguous startup atmosphere with short delivery timelines and high expectations. The ideal candidate takes broad ownership, has experience deploying production systems, and enjoys working across application development, infrastructure, and applied artificial intelligence.
In this capacity, you will architect scalable platforms, build data pipelines, and design evaluation frameworks to ensure the reliability of AI training outputs. You will also mentor engineers, establish strong testing and release standards, and partner closely with Product, Operations, and AI specialists to resolve technical roadblocks.
Responsibilities
- Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery
- Design and implement APIs, developer tooling, and internal applications for efficient workflows
- Improve dataset quality, task validation, model evaluation, and production efficiency
- Develop and iterate on evaluation frameworks to guarantee the reliability of AI training outputs
- Collaborate with domain experts and researchers to translate requirements into practical solutions
- Own system architecture, technical delivery, reliability, security, and engineering standards
- Design and implement large-scale data pipelines for dataset creation, annotation, and delivery
- Mentor engineers and establish robust design, testing, and release practices
- Partner with Product, Operations, and AI specialists to identify bottlenecks and deliver solutions
- Lead teams through urgent, high-pressure delivery schedules while maintaining quality standards
Requirements
- Strong software engineering fundamentals with a proven track record of shipping production systems
- Experience leading teams effectively in fast-paced and ambiguous environments
- Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions
- Strong debugging, problem-solving, and cross-functional communication skills
- Interest in the evolving challenges of training and evaluating AI systems
- Proficiency in web development technologies including Node.js, React, NestJS, Next.js, and Express
- Experience with Python engineering and data science tools such as FastAPI, NumPy, and Jupyter notebooks
- Proficiency in infrastructure tools like Kubernetes, Docker, Pulumi, Terraform, and infrastructure-as-code
- Familiarity with AI engineering technologies including LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor
- Experience with quality systems including dataset validation, automated testing, and QC tooling
Qualifications
- Proficiency in large-scale data generation and data pipeline orchestration
- Preference for data pipeline frameworks like Spark, Beam, or Dataflow
- Experience with statistical analysis, data visualization, and data manipulation
Core Skills
Benefits
- Work at the frontier of artificial intelligence alongside leading AI labs and researchers
- Contribute to leading-edge AI research with opportunities to showcase work at top conferences such as ICLR, ICML, and NeurIPS
- Bring AI innovations to enterprise environments to solve real-world business challenges
- Collaborate with colleagues possessing deep AI experience from major technology companies
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote status of the Engineering Manager role?
The role is based in the United States and has an on-site remote status as specified in the posting.
What type of employment is this?
This position is full-time.
What salary does this position offer?
The salary is not stated in the job posting.
What technical skills are required for this position?
Candidates need experience in web development technologies like Node.js and React, Python engineering tools such as FastAPI, infrastructure-as-code platforms like Terraform and Kubernetes, and AI engineering frameworks including LangChain and fine-tuning tools.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.