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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.

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