About Turing
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Role Overview
We are seeking experienced Corporate Trainers and Curriculum Developers to help train advanced AI systems. You will create, evaluate, and refine realistic, high-difficulty tasks involving program delivery, curriculum design, facilitation, and instructional standards. You will ensure outputs are accurate, practical, and aligned with enterprise-grade learning and development (L&D) practices.
Requirements
- 3–15 years of professional experience in corporate training, curriculum development, or instructional design (level/tier determined by experience).
- Proven experience designing training materials, building curricula, and facilitating live or virtual learning programs.
- Demonstrated expertise in program delivery, learning objectives, and curriculum evaluation standards; facilitation or train-the-trainer credentials are strongly preferred.
- Ability to create high-quality tasks, gold-standard solutions, evaluation rubrics, and realistic corporate training scenarios.
Responsibilities
In this role, you will be part of a specialized functional pod responsible for creating high-quality training and evaluation data for AI models. Your day-to-day responsibilities will include:
- Producing expert-level tasks and gold-standard solutions in curriculum design, facilitation, and program delivery that meet the pod's quality bar.
- Authoring realistic task scenarios involving corporate training, learning objectives, facilitation strategies, and curriculum standards.
- Applying rubric standards and grading frameworks set by the Functional SME (Expert) Lead.
- Working under senior review to incorporate calibration feedback, refine outputs, and iterate on task designs (Senior levels will also review team output and own day-to-day quality).
- Verifying that all created training materials, instructional scenarios, and learning frameworks are accurate, practical, and aligned with real-world enterprise standards.
- Escalating genuine edge cases and rubric ambiguities while ensuring consistent alignment with project guidelines, quality benchmarks, and milestone deadlines.
Education & Experience
- Bachelor's degree or equivalent practical experience in any field.
- Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.
Offer Details:
- Commitments Required: at least 4 hours per day and upto 40 hours per week with 4 hours of overlap with PST.
- Engagement type: Contractor
- Engagement Length: 8 weeks
Evaluation Process -
- Shortlisted candidates will be sent a Job Interest Form.
- Final selected candidates will be contacted with the next steps and onboarding requirements.