Project Manager
Job description
overview
- In this role, you will contribute to projects that help evaluate and enhance AI systems using your project management and organizational expertise.
- No prior AI experience is required.
- These projects will help you explore how AI can improve workflow planning, communication, and process automation across professional and technical environments.
- Design and solve real-world project management and coordination scenarios to test AI reasoning.
- Write clear, structured explanations covering project scheduling, risk assessment, resource allocation, and performance tracking.
- Evaluate AI responses for accuracy, clarity, and alignment with industry project management frameworks.
- Collaborate with researchers to refine AI understanding of PMI’s PMBOK, Agile, and Scrum methodologies.
Requirements
- 4+ years of experience as a Project Manager, Program Coordinator, or Project Management Specialist.
- Background in Project Management, Business Administration, or a related field.
- Strong familiarity with project management tools (e.g., Jira, Asana, MS Project) and frameworks (Agile, Scrum, or Waterfall).
- Excellent English communication and documentation skills, with the ability to explain structured processes clearly.
- Strong compensation (exact amount varies by project).
- Fully remote work environment.
- Engagement type: Contractor assignment/freelancer, potentially full-time.
- Duration of projects: approximately 1 month, with the possibility for extension.
- Confidential or proprietary information from any employer, university, etc.
- Trade secrets or internal company or university data.
- Specific client information or case details.
- Any information that would violate NDAs, employment agreements or other confidentiality obligations.
Skills mentioned

Turing builds and deploys generative AI products and solutions for organizations managing complex data. Trusted by global commercial enterprises, we solve their human intelligence business challenges and amplify productivity. From research to real-world results, Turing bridges cutting-edge research with practical deployment, powering breakthroughs in AI reasoning, problem-solving, and coding capabilities. With expertise in data infrastructure, human-in-the-loop systems, and advanced model post-training, we ensure AI labs and enterprises stay at the forefront of innovation. Turing’s dual-unit approach advances your AGI progress, then applies those advancements to your real-world challenges—ensuring innovations are paired with practical implementation. Our model is built for code understanding, iterative debugging, and working with visual inputs and tools, making us a trusted partner for tech companies.
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